Template-Type: ReDIF-Article 1.0 Author-Name: Faisal Babu Author-X-Name-First: Faisal Author-X-Name-Last: Babu Author-Name: Sam Thomas Author-X-Name-First: Sam Author-X-Name-Last: Thomas Title: The relationship between total quality management practices and organisational image in the hospital industry: an empirical examination Abstract: The purpose of this paper is to depict the role of leadership in implementing total quality management (TQM) practices in hospitals and their relationship to the formation of the organisational image by investigating the perceptions of hospital leaders in the context of the Indian healthcare system. A survey of 265 employees including administrators, managers and heads of departments of 15 NABH-accredited hospitals in Kerala was conducted based on a questionnaire. Structural equation modelling (SEM) was done with the use of WarpPLS 50 to test the structural model. The study revealed that leadership is acting as the key driver in implementing quality systems in hospitals. Further, management leadership and the other four TQM practices - information and analysis, human resource management, process management and supplier management - were the significant predictors of the organisational image. Journal: Int. J. of Productivity and Quality Management Pages: 1-23 Issue: 1 Volume: 29 Year: 2020 Keywords: total quality management; TQM; management leadership; organisational image; OI; hospital; healthcare/hospital accreditation; NABH; quality management practices; healthcare/hospital quality. File-URL: http://www.inderscience.com/link.php?id=104517 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:1-23 Template-Type: ReDIF-Article 1.0 Author-Name: Mukesh Verma Author-X-Name-First: Mukesh Author-X-Name-Last: Verma Author-Name: Anjali Awasthi Author-X-Name-First: Anjali Author-X-Name-Last: Awasthi Title: Evaluating bikesharing service quality: a case study for BIXI, Montreal Abstract: Public transportation is vital to city's economy and public health. It has always been an important part of human life, which has aided not only in travel time savings but also giving a medium of leisure and health in more ways than one. In this paper, we address the subject of bikesharing with focus on customer satisfaction and quality. A SERVQUAL-based approach is proposed to measure bikesharing service quality. Five dimensions namely tangibility, reliability, empathy, assurance and responsiveness are investigated. A questionnaire study with users of bikesharing service called BIXI in Montreal is conducted. Three hundred and thirteen responses are received. SERVQUAL and compliment/complaint analysis is done to identify areas of improvement or negative gaps where customer perceptions are lower than expectations. Suggestions to cover these service quality gaps are provided. Journal: Int. J. of Productivity and Quality Management Pages: 45-61 Issue: 1 Volume: 29 Year: 2020 Keywords: bikesharing; service quality; gap analysis; compliment/complaints analysis; SERVQUAL. File-URL: http://www.inderscience.com/link.php?id=104518 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:45-61 Template-Type: ReDIF-Article 1.0 Author-Name: Milad Akhlaghi Motlagh Author-X-Name-First: Milad Akhlaghi Author-X-Name-Last: Motlagh Author-Name: Changiz Valmohammadi Author-X-Name-First: Changiz Author-X-Name-Last: Valmohammadi Author-Name: Mahmoud Modiri Author-X-Name-First: Mahmoud Author-X-Name-Last: Modiri Title: Developing a qualitative model of productivity for service companies using fuzzy analytic hierarchy process: a case study Abstract: The main purpose of this study is to develop a qualitative model of productivity, in order to determine the dimensions and measures of efficiency and effectiveness and their related weights of an Iranian leading internet service provider company known as of Dadeh Gostar-e Asr-e Novin. The population of the study is comprised of eight members of the surveyed company including managers of various functions who are experts in their working domain. In this research, three questionnaires were designed and used to collect data in accordance with the objectives of each phase. Also, fuzzy analytic hierarchy process (FAHP) was used to analyse the data in the final phase and to calculate the weights of the dimensions and measures of both factors of efficiency and effectiveness based on the proposed qualitative productivity model. The main finding of this study is the identification of various dimensions and their corresponding indicators of efficiency and effectiveness of the understudy service organisation based on the developed qualitative model. Journal: Int. J. of Productivity and Quality Management Pages: 126-147 Issue: 1 Volume: 29 Year: 2020 Keywords: qualitative model of productivity; fuzzy analytic hierarchy process; FAHP; efficiency; effectiveness; service companies; case study. File-URL: http://www.inderscience.com/link.php?id=104519 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:126-147 Template-Type: ReDIF-Article 1.0 Author-Name: Surendra Kansara Author-X-Name-First: Surendra Author-X-Name-Last: Kansara Title: Modelling the water supply service quality: a case study of the municipal corporation Abstract: The concept of quality is recognised as an essential tool in attaining operational efficiency and ultimate performance regardless of whether the product is tangible and intangible, like services. Many issues relating to the methodology for measuring the service quality emerged to make it operational. The presented research employs the SERVQUAL scale in gauging service quality of services offered by the water supply department of a municipal corporation. The research also attempts to validate its application. The service dimensions as prescribed by Parasuraman et al. (1985) employed as a measure of service quality. Five-point Likert scale measurement items in a questionnaire used to measure the service dimensions. Data was collected through a survey administered to service users. The principal component analysis (PCA) was performed to validate the factor classification. The gaps (Parasuraman et al., 1985) in the service as offered by the water supply department of a municipal corporation is calculated. Journal: Int. J. of Productivity and Quality Management Pages: 94-108 Issue: 1 Volume: 29 Year: 2020 Keywords: public service; service quality; principal component analysis; PCA. File-URL: http://www.inderscience.com/link.php?id=104525 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:94-108 Template-Type: ReDIF-Article 1.0 Author-Name: Alexander Pulido-Rojano Author-X-Name-First: Alexander Author-X-Name-Last: Pulido-Rojano Author-Name: J. Carlos García-Díaz Author-X-Name-First: J. Carlos Author-X-Name-Last: García-Díaz Title: Optimisation algorithms for improvement of a multihead weighing process Abstract: Mathematical optimisation is widely used to find the optimal value for an objective function, subject to constraints that try to simulate reality, and is fundamental to improving industrial processes. In this paper, we compare different optimisation approaches to solve the packaging problem in multihead weighing machines. In this problem, each package is made up from the loads in a subset of the multihead weigher's hoppers. The total weight of the packed product must be as close to a specified target weight as possible. We designed and evaluated a set of algorithms for this problem, considering both single-objective and bi-objective optimisation criteria. A new criterion for creating the packages is considered, and a different way of filling of the hoppers is studied with the aim of reducing process variability. Numerical experiments considering both a set of real data and the most important process performance parameters show the usefulness of our study. Journal: Int. J. of Productivity and Quality Management Pages: 109-125 Issue: 1 Volume: 29 Year: 2020 Keywords: optimisation; mathematical modelling; exhaustive search; reduction of variability; process improvement; packaging; multihead weighing process. File-URL: http://www.inderscience.com/link.php?id=104527 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:109-125 Template-Type: ReDIF-Article 1.0 Author-Name: Abolfazl Lotfi Author-X-Name-First: Abolfazl Author-X-Name-Last: Lotfi Author-Name: Aliakbar Hasani Author-X-Name-First: Aliakbar Author-X-Name-Last: Hasani Author-Name: Saeid Aibaghi Esfahani Author-X-Name-First: Saeid Aibaghi Author-X-Name-Last: Esfahani Title: Performance assessment of talent management system via using system dynamic approach and scenario planning (case study: Iran Falat-Qhare Oil Company) Abstract: Nowadays, talent management becomes more complicated as a consequence of a dynamic business environment and facing extensive and delayed feedbacks of various economic and social factors. Therefore, there is a need to design an appropriate human resource management to attract, employ, develop, and retain talented staff. The aim of this study is to propose a comprehensive model for talent management using a system dynamics approach. In addition, fuzzy multi-criteria decision-making method is used to assess the considered improvement strategies. The proposed model is applied to Iranian Falat-Ghare Oil Company. Obtained results indicate that talent management process plays a key role in the organisation's performance. Improvement opportunities to increase the total efficiency of the talent management system are identified. By using scenario analysis, key process indicators of talent management system are investigated to achieve the organisation goals. Organisation's efficiency can be significantly increased by adopting appropriate talent management strategies. Journal: Int. J. of Productivity and Quality Management Pages: 62-93 Issue: 1 Volume: 29 Year: 2020 Keywords: human resource; talent management system; performance assessment; system dynamics; scenario planning. File-URL: http://www.inderscience.com/link.php?id=104539 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:62-93 Template-Type: ReDIF-Article 1.0 Author-Name: Nigussu Bitew Kassie Author-X-Name-First: Nigussu Bitew Author-X-Name-Last: Kassie Author-Name: Jagannath Singh Author-X-Name-First: Jagannath Author-X-Name-Last: Singh Title: A study on software quality factors and metrics to enhance software quality assurance Abstract: The industries are giving more attention on software quality improvement and assessment, however the majority of researches has been done in the field of internal quality improvement. But, less attention has been given to the user's prospective to improve the quality of a software. The users want the best quality in the usability. The achievement of software companies totally relies upon the user's satisfaction. We focus on customer perspectives of software quality. In this article, first we present some of the existing software quality metrics and their uses. Then, we have accumulated most of the software quality metrics from the literature and prepared a bunch of 27 metrics. Then, we have conducted a survey, with our university students, on the user's perspective to rank the important software quality factors. Based on their responses, we have proposed a new quality model which is user's perspective quality model. Journal: Int. J. of Productivity and Quality Management Pages: 24-44 Issue: 1 Volume: 29 Year: 2020 Keywords: software quality assurance; SQA; software metric; software quality factor. File-URL: http://www.inderscience.com/link.php?id=104547 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:1:p:24-44 Template-Type: ReDIF-Article 1.0 Author-Name: Abhishek Jain Author-X-Name-First: Abhishek Author-X-Name-Last: Jain Author-Name: Harwinder Singh Author-X-Name-First: Harwinder Author-X-Name-Last: Singh Author-Name: Rajbir Singh Bhatti Author-X-Name-First: Rajbir Singh Author-X-Name-Last: Bhatti Title: Evaluation of TPM strategies for manufacturing performance improvement of Indian SMEs for strategic success Abstract: Indian small and medium enterprises (SMEs) are the heart of large organisations because every large organisation is purchasing a number of components from SMEs. In this study, the authors have made a qualitative model to find the preferred improvement strategy (TPM strategies) for implementing them in Indian SMEs by using an options field methodology (OFM), options profile methodology (OPM), analytic hierarchy process (AHP) and fuzzy set theory (FST). For this, first of all find various issues concerning improvement strategies and performance improvement through a questionnaire. OFM has converted these issues into options and then categorise them. The authors have identified four improvement strategies as profiles or a course of actions by using OPM. Pair wise comparison of AHP methodology is used to find the weight of various objectives of manufacturing performance improvement. Finally, FST is used to rank these four improvement strategies by making weighted position matrix and dominance matrix. Journal: Int. J. of Productivity and Quality Management Pages: 187-215 Issue: 2 Volume: 29 Year: 2020 Keywords: total productive maintenance; TPM; small and medium enterprises; SMEs; TPM strategies; options field methodology; OFM; options profile methodology; OPM; analytic hierarchy process; AHP; fuzzy set theory; FST; manufacturing performance improvement. File-URL: http://www.inderscience.com/link.php?id=105959 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:187-215 Template-Type: ReDIF-Article 1.0 Author-Name: Promporn Wangwacharakul Author-X-Name-First: Promporn Author-X-Name-Last: Wangwacharakul Author-Name: Martina Berglund Author-X-Name-First: Martina Author-X-Name-Last: Berglund Author-Name: Ulrika Harlin Author-X-Name-First: Ulrika Author-X-Name-Last: Harlin Title: Quality management to facilitate product introduction across borders Abstract: This paper explores how quality management (QM) can be used to mitigate managerial challenges in new product introduction (NPI) across national borders. A longitudinal case study involving one Swedish and one Chinese company was conducted. The data were collected through 35 semi-structured interviews and five workshops with employees and managers of several functions before, during and after NPI in a product development project. Several managerial challenges in the cross-cultural collaboration were revealed. The study demonstrated that lack of understanding of cultural differences negatively affected the NPI process and product quality, but these challenges could be handled by a QM approach. Therefore, this paper proposes QM to help mitigate managerial challenges in cross-cultural NPI. The paper contributes to earlier research on the application of QM and the NPI field by suggesting QM as a means to bridge cultural gaps and facilitate NPI across borders. Journal: Int. J. of Productivity and Quality Management Pages: 268-283 Issue: 2 Volume: 29 Year: 2020 Keywords: cross-cultural management; managerial challenges; new product development; industrialisation; Sweden; China; cross-cultural collaboration; quality management; case study; longitudinal case study. File-URL: http://www.inderscience.com/link.php?id=105960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:268-283 Template-Type: ReDIF-Article 1.0 Author-Name: Swarnambuj Suman Author-X-Name-First: Swarnambuj Author-X-Name-Last: Suman Author-Name: Anupam Das Author-X-Name-First: Anupam Author-X-Name-Last: Das Title: Unified process monitoring strategy for a facility engaged in the production of multiple portfolio of products Abstract: The process monitoring strategies have not kept pace with the development in the production systems. Most of the multivariate statistical process monitoring methods deals with single product portfolio. The current article attempts to devise a unified monitoring strategy for monitoring of multiple products or at least different grades of the same product. A case study from an integrated steel plant producing multiple products has been deliberated to validate the monitoring strategy devised. A comparative evaluation of the unified strategy based on the multigroup variant of principal component analysis (PCA) and the individual strategy based on the conventional PCA was carried out on the basis of three parameters viz. the model fit values, fault detection and the fault diagnosis. In all the three parameters, barring some trifling differences, the unified monitoring strategy seems to replicate the individual strategies well. Journal: Int. J. of Productivity and Quality Management Pages: 233-249 Issue: 2 Volume: 29 Year: 2020 Keywords: multigroup PCA; fault detection; fault diagnosis; multiple product portfolio; principal component analysis; PCA. File-URL: http://www.inderscience.com/link.php?id=105961 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:233-249 Template-Type: ReDIF-Article 1.0 Author-Name: Shaun T. Menezes Author-X-Name-First: Shaun T. Author-X-Name-Last: Menezes Author-Name: Giridhar B. Kamath Author-X-Name-First: Giridhar B. Author-X-Name-Last: Kamath Author-Name: H.C. Shiva Prasad Author-X-Name-First: H.C. Shiva Author-X-Name-Last: Prasad Title: Implementation of '6S' practices adapted for an electrical assembly line Abstract: The Japanese housekeeping '5S' methodology added with safety has constituted in '6S' principles. Implementing the '6S' to enhance the productivity of machine, component maintenance, reduction in unnecessary waste, that costs, the safety of workers and overall production efficiency by effective workplace management. This paper attempts to highlight challenges in implementing '6S' in a shop floor based on the pre-implementation and post-implementation data and compared on parametric industrial accidents, process time and cost. After '5S' implemented, investigating on unorganised production sections, uncomfortable working environment, excessive inventory and lack of safety practices. The results of pre-implementation and post-implementation exhibits a reduction in process time, reduction in costs and industrial accidents reduced with effective safety training to employees. This study shows that '6S' implementation has created a positive effect in uplifting the morale of workers by reducing the cost and time of the production process. Journal: Int. J. of Productivity and Quality Management Pages: 250-267 Issue: 2 Volume: 29 Year: 2020 Keywords: cost; industrial accidents; safety; implementation; 6S. File-URL: http://www.inderscience.com/link.php?id=105962 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:250-267 Template-Type: ReDIF-Article 1.0 Author-Name: Eric Kaiyue Ling Author-X-Name-First: Eric Kaiyue Author-X-Name-Last: Ling Author-Name: Siti Norida Wahab Author-X-Name-First: Siti Norida Author-X-Name-Last: Wahab Title: Integrity of food supply chain: going beyond food safety and food quality Abstract: As consumers' trust and confidence in food have been shaken by food incidents that could be intentional (crime) or unintentional (negligence). This paper examines the issue of food integrity in a holistic approach that goes beyond food safety and food quality. The concept of farm-to-fork from supply chain management being adopted to review the extant literature concerning integrity of food supply chain. From the extensive literature review, food safety system such as HACCP is argued to be insufficient in assuring food integrity because it does not prevent deliberate contamination, while traceability and technology are recognised as important communication linkages that provide transparency and evidence on food integrity across the supply chain. This paper has developed the house of food integrity framework to provide novel insights on the food supply chain by illustrating food integrity as a multi-dimensional concept, which incorporates food defence in addition to food safety and food quality. Journal: Int. J. of Productivity and Quality Management Pages: 216-232 Issue: 2 Volume: 29 Year: 2020 Keywords: food supply chain; farm-to-fork; food safety; food integrity; food defence. File-URL: http://www.inderscience.com/link.php?id=105963 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:216-232 Template-Type: ReDIF-Article 1.0 Author-Name: Nitin Panwar Author-X-Name-First: Nitin Author-X-Name-Last: Panwar Author-Name: Sanjeev Kumar Author-X-Name-First: Sanjeev Author-X-Name-Last: Kumar Author-Name: Rajesh Attri Author-X-Name-First: Rajesh Author-X-Name-Last: Attri Title: AHP-VIKOR-based methodology for determining maintenance criticality Abstract: The paper aims to develop a new methodology based on integrated multi-attribute decision making approaches, i.e., analytic hierarchy process (AHP) and <i>Vlse Kriterijumska Optimizacija Kompromisno Resenje</i> (VIKOR) technique for finding the maintenance criticality of the system by ranking its failure causes. The ranking is framed by considering five criteria namely likelihood of failure occurrence, likelihood of non-detection, downtime length, standby part criticality and safety risk. In the proposed methodology, first the priority weight of each criterion is calculated by using AHP approach and then VIKOR method is applied for finding the ranking of failure causes in order to select the proper maintenance strategy. An actual case study of pulping system for a paper production industry is performed to select the maintenance strategy in order to demonstrate the use of the proposed methodology. Journal: Int. J. of Productivity and Quality Management Pages: 167-186 Issue: 2 Volume: 29 Year: 2020 Keywords: maintenance; analytic hierarchy process; AHP; Vlse Kriterijumska Optimizacija Kompromisno Resenje; VIKOR; failure mode and effect analysis; FMEA; multi-criteria decision making; MCDM. File-URL: http://www.inderscience.com/link.php?id=105964 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:167-186 Template-Type: ReDIF-Article 1.0 Author-Name: Jong-Min Kim Author-X-Name-First: Jong-Min Author-X-Name-Last: Kim Author-Name: Chuwen Li Author-X-Name-First: Chuwen Author-X-Name-Last: Li Author-Name: Il Do Ha Author-X-Name-First: Il Do Author-X-Name-Last: Ha Title: Machine learning techniques applied to US army and navy data Abstract: We apply machine learning techniques to the synthetic data (Stevens and Anderson-Cook, 2017a), which is univariate data with a binary response of passing or failing for complex munitions generated to match age and usage rate, found in US Department of Defense complex systems (the army and navy). We propose applying machine learning techniques to predict the binary response of passing or failing for the army and navy data. Journal: Int. J. of Productivity and Quality Management Pages: 149-166 Issue: 2 Volume: 29 Year: 2020 Keywords: binary response data; artificial neural networks; ANN; ridge; lasso; elastic net. File-URL: http://www.inderscience.com/link.php?id=105976 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:2:p:149-166 Template-Type: ReDIF-Article 1.0 Author-Name: H. Nagaraj Kamath Author-X-Name-First: H. Nagaraj Author-X-Name-Last: Kamath Author-Name: Lewlyn L.R. Rodrigues Author-X-Name-First: Lewlyn L.R. Author-X-Name-Last: Rodrigues Title: The new conceptual model for print management: total production management Abstract: This paper presents the development of a conceptual framework for operations management in the printing industry. The implications of using the proposed model (total production management) in a printing press has been analysed thoroughly. A novel conceptual model called 'total production management' has been introduced which is a combination of the best practices: total productive maintenance (TPM) and total quality management (TQM) in conjunction with the human factors (HF) and contextual variables (CV). The study identifies the best practices adopted in the print industry and adopts an integrative approach with socio-technical issues as the addendum. System Dynamics modelling and simulation has been used to study the model performance. Even though the proposed model is in the context of print industry, it can be applied to any manufacturing industry with minor modifications. Journal: Int. J. of Productivity and Quality Management Pages: 285-308 Issue: 3 Volume: 29 Year: 2020 Keywords: total productive maintenance; TPM; total quality management; TQM; human factors; contextual variables. File-URL: http://www.inderscience.com/link.php?id=105985 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:285-308 Template-Type: ReDIF-Article 1.0 Author-Name: Mariam Akinlolu Author-X-Name-First: Mariam Author-X-Name-Last: Akinlolu Author-Name: Ruben Ndihokubwayo Author-X-Name-First: Ruben Author-X-Name-Last: Ndihokubwayo Author-Name: Fredrick Simpeh Author-X-Name-First: Fredrick Author-X-Name-Last: Simpeh Title: TQM implementation challenges: a case study of a building maintenance department of an institution of higher learning Abstract: The standards of maintenance management of buildings at many higher institutions, need improvement. TQM has proven to be effective in the improvement of quality in the maintenance of building facilities, although many higher institutions are still grappling to implement TQM in the maintenance of their buildings. This study examines the perceptions that maintenance workers have about the challenges they face during the implementation of TQM in the maintenance of buildings of institutions' of higher learning (IHL), assessing whether there are statistical differences based on workers' affiliated campuses and their positions. A case study approach utilising quantitative data was used in the study where a questionnaire with closed-ended questions was distributed to purposively sampled maintenance workers in an IHL in South Africa. A significant difference was found in the responses provided by workers positions as regards the impact of TQM challenges in their building maintenance activities. Journal: Int. J. of Productivity and Quality Management Pages: 355-371 Issue: 3 Volume: 29 Year: 2020 Keywords: buildings; challenges; higher learning institutions; maintenance; total quality management; TQM. File-URL: http://www.inderscience.com/link.php?id=105988 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:355-371 Template-Type: ReDIF-Article 1.0 Author-Name: Mohd Nasir Author-X-Name-First: Mohd Author-X-Name-Last: Nasir Author-Name: Mohd Adil Author-X-Name-First: Mohd Author-X-Name-Last: Adil Title: Exploring the applicability of SERVPERF model in Indian two-wheeler industry: a CFA approach Abstract: For over the years, after-sales service (ASS) has assumed its importance in an automotive industry. Although, an adequate number of scales and model sexist to measure ASS quality, yet extant literature provides evidences in support of two established and well known models/scales viz. SERVQUAL and SERVPERF. But, researchers have raised concerns related to its applicability in a multi-cultural business environment like India. Thus, this study attempts to examine the applicability of original SERVPERF model in Indian two-wheeler industry. Combinations of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) techniques have been used to understand the item structure, dimensionality and psychometric properties of the scale. Results in this study fail to support the item structure of original SERVPERF model as proposed by Cronin and Taylor (1992). We strongly suppose that this variation is context specific and less generic as originally contended. These results suggest that relying service quality assessment on the original SERVPERF items can be misleading in Indian context. As such, context-specific 18-items are therefore needed to assist Indian automobile companies in their service quality improvement programs. If this fit is achieved, the general welfare of consumers' vis-à-vis service quality may be enhanced. Journal: Int. J. of Productivity and Quality Management Pages: 329-354 Issue: 3 Volume: 29 Year: 2020 Keywords: after-sales service; ASS; service quality; two-wheeler; CFA; SERVPERF; India. File-URL: http://www.inderscience.com/link.php?id=105989 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:329-354 Template-Type: ReDIF-Article 1.0 Author-Name: Boby John Author-X-Name-First: Boby Author-X-Name-Last: John Author-Name: S.M. Subhani Author-X-Name-First: S.M. Author-X-Name-Last: Subhani Title: A modified control chart for monitoring non-normal characteristics Abstract: A process in control and capable of meeting customer requirements can enhance the survival and growth of the business. The systematic use of process improvement methodologies like lean, six sigma, etc., can improve the capability of the process significantly. When the process is highly capable, sometimes it may not make business sense to monitor the process using traditional control charts. It may be better to allow the process mean to vary over a small interval provided the fraction non-conforming is within a pre-specified value. This can be achieved by monitoring the process using the modified control chart. Most of the research on modified control chart discuss the case of normally distributed characteristics. In this paper, the authors extend the modified control chart methodology to monitor non-normal characteristics. The approach is based on Johnson's system of distributions. The suggested methodology is also demonstrated using two case studies in the paper. Journal: Int. J. of Productivity and Quality Management Pages: 309-328 Issue: 3 Volume: 29 Year: 2020 Keywords: statistical process control; modified control chart; non-normal characteristics; process capability analysis; Johnson's system of distributions. File-URL: http://www.inderscience.com/link.php?id=105990 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:309-328 Template-Type: ReDIF-Article 1.0 Author-Name: Abbas Al-Refaie Author-X-Name-First: Abbas Author-X-Name-Last: Al-Refaie Author-Name: Dina Al-Momani Author-X-Name-First: Dina Author-X-Name-Last: Al-Momani Author-Name: Rawan Al-Tarawneh Author-X-Name-First: Rawan Author-X-Name-Last: Al-Tarawneh Title: Modelling the barriers of green supply chain practices in Jordanian firms Abstract: This research investigates ten barriers to adoption of green supply chain management (GSCM) adoption in Jordanian firms using interpretive structural modelling (ISM). Twenty experts from academia and 18 industry were interviewed. Structural self-interaction matrix (SSIM) is developed and then adopted to construct the reachability matrices. The results of ISM model revealed that 'lack of support from government' barrier achieved the highest driving power followed by the barrier 'cost implications' and 'lack of customer awareness'. Moreover, the linkage barriers were the 'IT implementation problem', 'resistance to technology advancement adoption', 'market competition', 'lack of management commitment', 'supplier reluctance to change towards GSCM', and 'lack of sustainability of certificate ISO 14001'. These findings suggest that government authorities and top management should resolve barriers at the strategic level by developing effective regulations and incentive policies that enhance customer awareness, supplier commitment to the application of GSCM practices. Further, top managements should ponder on evolving strategies that generate awareness about GSCM adoption. In conclusion, the developed ISM model may provide a valuable guidance to decision makers to understand interdependence of the barriers, determine the required actions to overcome their impacts, and adopt efficient methodologies for effective implementation of GSCM practices in Jordanian firms. Journal: Int. J. of Productivity and Quality Management Pages: 397-417 Issue: 3 Volume: 29 Year: 2020 Keywords: green supply chain management; GSCM; interpretive structural modelling; ISM; barriers; supply chain; MICMAC analysis. File-URL: http://www.inderscience.com/link.php?id=105991 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:397-417 Template-Type: ReDIF-Article 1.0 Author-Name: Anh Chi Phan Author-X-Name-First: Anh Chi Author-X-Name-Last: Phan Author-Name: Ha Thu Nguyen Author-X-Name-First: Ha Thu Author-X-Name-Last: Nguyen Author-Name: Khoa Bach Nguyen Author-X-Name-First: Khoa Bach Author-X-Name-Last: Nguyen Author-Name: Anh Tu Thi Le Author-X-Name-First: Anh Tu Thi Author-X-Name-Last: Le Author-Name: Yoshiki Matsui Author-X-Name-First: Yoshiki Author-X-Name-Last: Matsui Title: Relationship between customer collaboration in supply chain management and operational performance of manufacturing companies Abstract: This paper presents the results of empirical analysis on the relationship between customer collaboration practices in supply chain management and operational performance of manufacturing companies. Data were collected between 2013 and 2015 from 304 manufacturing companies in 13 countries across the world in the framework of high-performance manufacturing project. The results of statistical descriptive analysis, correlation analysis and regression analysis indicate that customer collaboration practices have positive relationship with operational performance in terms of quality, cost, delivery speed, on-time delivery and flexibility. This study suggests the researchers and managers to develop and implement a set of customer collaboration practices to improve supply chain management effectiveness. Journal: Int. J. of Productivity and Quality Management Pages: 372-396 Issue: 3 Volume: 29 Year: 2020 Keywords: supply chain management; customer collaboration; operational performance; manufacturing companies. File-URL: http://www.inderscience.com/link.php?id=106009 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:372-396 Template-Type: ReDIF-Article 1.0 Author-Name: Mustafa Can Tuncer Author-X-Name-First: Mustafa Can Author-X-Name-Last: Tuncer Author-Name: Necmettin Firat Ozkan Author-X-Name-First: Necmettin Firat Author-X-Name-Last: Ozkan Author-Name: Berna Haktanirlar Ulutas Author-X-Name-First: Berna Haktanirlar Author-X-Name-Last: Ulutas Title: A systematic approach to assess visual inspection tasks: an assembly line case Abstract: This study aims to introduce a systematic approach to assess the in-line inspection process to minimise quality related costs. Data related with assembly tasks and visual inspection are gathered by use of an eye-tracker to determine the duration for search time and number of non-conformities detected for a critical workstation. The steps of the approach are applied at an assembly line of a household appliance manufacturing facility. The line balancing study that is conducted by considering assembly and visual inspection durations prove that use of an eye tracker has a potential to improve the inspection process and minimise costs resulting from appraisal and internal failure. Results illustrate that there is a significant difference in total time for fixation and fixation count for the worker when considering visual inspection before and after the improvements. Journal: Int. J. of Productivity and Quality Management Pages: 418-438 Issue: 3 Volume: 29 Year: 2020 Keywords: human factors; quality control costs; assembly line; eye-tracking; visual quality control. File-URL: http://www.inderscience.com/link.php?id=106024 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:3:p:418-438 Template-Type: ReDIF-Article 1.0 Author-Name: Pravendra Tyagi Author-X-Name-First: Pravendra Author-X-Name-Last: Tyagi Author-Name: Gopal Agarwal Author-X-Name-First: Gopal Author-X-Name-Last: Agarwal Title: Optimal maritime transportation and ocean shipping transaction for containerised goods among BRICS countries Abstract: This paper explore the basic elements of maritime transportation, which are the mandatory parts in planning and control activities among BRICS countries, starting from hinterland transportation to port of origin and further to port of destination and end customer in container terminals. It also includes the detailed explanation of the documents needed in on carriage and pre carriage for custom clearance and provides the awareness for minimising the time window of demurrage and detention to avoid or reduce the penalties, followed by terminal operator and ocean carrier responsibilities to arrange fast picking the full loaded containers and returning of the empty containers to depot, decided based on prior discussion held between carrier, terminal operator, freight forwarder and buyer besides this it also encompass the overall managerial activities at each level from supply end to delivery end, resulting managed manoeuvre of cargo containers with least delay in legal and handling processing and achieving satisfactory level. Journal: Int. J. of Productivity and Quality Management Pages: 502-517 Issue: 4 Volume: 29 Year: 2020 Keywords: maritime transportation; freight forwarder; hinterland; detention; demurrage ocean carrier. File-URL: http://www.inderscience.com/link.php?id=106398 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:502-517 Template-Type: ReDIF-Article 1.0 Author-Name: Mohyiddine Soltani Author-X-Name-First: Mohyiddine Author-X-Name-Last: Soltani Author-Name: Hichem Aouag Author-X-Name-First: Hichem Author-X-Name-Last: Aouag Author-Name: Mohammed Djamel Mouss Author-X-Name-First: Mohammed Djamel Author-X-Name-Last: Mouss Title: Enhancement of the competitiveness and the financial capability of a manufacturing process through a new value stream mapping approach Abstract: The organisations having a futuristic look and aiming to impose their presence in the industrial field for a long possible term, are seeking for finding solutions linked to controlling their cash flow and assessing their competitiveness performances. Therefore, the purpose of this paper is to propose a new quality and cost value stream mapping for monitoring the costs consumption and assessing the competitiveness of a company. We use three key concepts namely life cycle costing for estimation of the most influential costs on the manufacturing process, the weighted DPMO and Sigma level for assessing the quality level and the competitiveness of the company. Finally, the data obtained are mapped using value stream mapping method for enabling the determination of dysfunctions in the cost and quality context. Journal: Int. J. of Productivity and Quality Management Pages: 439-453 Issue: 4 Volume: 29 Year: 2020 Keywords: value stream mapping; VSM; life cycle costs; LCC; Sigma level; defects per million opportunities; DPMO. File-URL: http://www.inderscience.com/link.php?id=106399 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:439-453 Template-Type: ReDIF-Article 1.0 Author-Name: Raj Kumar Author-X-Name-First: Raj Author-X-Name-Last: Kumar Author-Name: Parveen Kalra Author-X-Name-First: Parveen Author-X-Name-Last: Kalra Author-Name: Suman Kant Author-X-Name-First: Suman Author-X-Name-Last: Kant Title: Productivity enhancement of assembly line by using Maynard operation sequence technique after identification of lean wastages Abstract: The proper utilisation of available resources and appropriate time to complete a task play a crucial role to define the productivity of a line-based manufacturing industry. The high productivity is essential to meet customer demand. If the company fails to meet customer demand, it measures in terms of utilisation of available resources and time required to complete a task. An assembly line includes non-value-added activities and other wastages which lead to lower productivity. Keeping these views in this study, Maynard operation sequence technique (MOST) has been used to reduce cycle time, operation cost and maximise the utilisation of manpower after identification of lean wastages by using Toyota 3M model. The combination of lean manufacturing and MOST has been used as a technique which improves the efficiency of line by 11.23%. The statistical test has been performed by using R programming language to check the significance of applied technique. Journal: Int. J. of Productivity and Quality Management Pages: 463-482 Issue: 4 Volume: 29 Year: 2020 Keywords: Maynard operation sequence technique; MOST; predetermined motion time system; PMTS; productivity; lean wastages; non-value-added activity; assembly line; standard time; line layout. File-URL: http://www.inderscience.com/link.php?id=106400 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:463-482 Template-Type: ReDIF-Article 1.0 Author-Name: Rusman Frendika Author-X-Name-First: Rusman Author-X-Name-Last: Frendika Author-Name: Sri Suwarsi Author-X-Name-First: Sri Author-X-Name-Last: Suwarsi Author-Name: Dudung Abdurrahman Author-X-Name-First: Dudung Author-X-Name-Last: Abdurrahman Title: Personal values, cultural competence, self-confidence: comparation among Korean, Japanese, Chinese, and Indonesian employee Abstract: The role of personality in work-related behaviours and values has gained renewed attention over the past decade. As the opening of the free trade era, many local employees feel less confidence to compete with expatriates. This research investigates the differences of the influence of personal value and cultural competence towards self-confidence whether directly or through personal branding. Based on cross cultural analysis among expatriate of Korean, Japanese, Chinese and local employees. The ANOVA and SEM AMOS multiple group analysis used and the empirical finding indicate that the personal branding have negative impact to self-confidence. Cross cultural analysis found that cultural competence more dominant influence towards self-confidence than personal values between expatriates and local employees. Journal: Int. J. of Productivity and Quality Management Pages: 454-462 Issue: 4 Volume: 29 Year: 2020 Keywords: personal values; cultural competence; self-confidence. File-URL: http://www.inderscience.com/link.php?id=106401 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:454-462 Template-Type: ReDIF-Article 1.0 Author-Name: Amit Chopra Author-X-Name-First: Amit Author-X-Name-Last: Chopra Author-Name: Anish Sachdeva Author-X-Name-First: Anish Author-X-Name-Last: Sachdeva Author-Name: Arvind Bhardwaj Author-X-Name-First: Arvind Author-X-Name-Last: Bhardwaj Title: Prevalent general and preventive maintenance practices in Indian process industry Abstract: The purpose of this paper is to highlight the importance of general and preventive maintenance practices in the process industries of India. Data for the analysis was collected through a structured questionnaire from the reputed process industries of India. Statistical techniques cluster analysis and one-way ANOVA were used to investigate the maintenance scenario in the Indian process industry. The study highlighted the status of important practices related to the general maintenance and preventive maintenance (PM) in the process industry and emphasised on strengthening of maintenance activities in Indian Process industry especially in the changing needs of the Industry 4.0. Journal: Int. J. of Productivity and Quality Management Pages: 542-557 Issue: 4 Volume: 29 Year: 2020 Keywords: maintenance scenario; process industry; preventive maintenance; general maintenance; Indian Industry. File-URL: http://www.inderscience.com/link.php?id=106402 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:542-557 Template-Type: ReDIF-Article 1.0 Author-Name: Elia Oey Author-X-Name-First: Elia Author-X-Name-Last: Oey Author-Name: Eunike Gabriella Author-X-Name-First: Eunike Author-X-Name-Last: Gabriella Title: Integrating Kano's model into quality function deployment to facilitate decision analysis: a case study at a medium enterprise of export garment manufacturer in Bali Abstract: Capturing, understanding and acting towards customer needs are a constant challenge to any firm. With globalisation, this need become complex, overwhelming, yet necessary. This research was a case study in a medium size specialty-garment manufacturer in Bali, Indonesia. The studied company sells high quality sarong and beach wear to export markets. To improve their marketing and operation management toward their customers, this study helped to identify and quantify the customer attributes using combination of gap and Kano model. The result was then followed up by generating technical attributes and possible action plan using quality function deployment (QFD) methodology. The result showed top three customer attributes are 'on time delivery', 'reasonable price', and 'fast production lead time', and recommended to improve in 'post-manufacture quality inspection control', 'laundering control', 'dyeing and printing control', 'hiring more lease sewing operator', and 'periodical design update based on season'. The study was also able to apply systematic methodologies that can be applied even to a medium size firms for them to improve their management. Journal: Int. J. of Productivity and Quality Management Pages: 483-501 Issue: 4 Volume: 29 Year: 2020 Keywords: Kano; QDF; customer attributes; technical attributes; medium enterprise. File-URL: http://www.inderscience.com/link.php?id=106409 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:483-501 Template-Type: ReDIF-Article 1.0 Author-Name: Mohsen Shafiei Nikabadi Author-X-Name-First: Mohsen Shafiei Author-X-Name-Last: Nikabadi Author-Name: S. Behnam Razavian Author-X-Name-First: S. Behnam Author-X-Name-Last: Razavian Title: A hesitant fuzzy model for ranking maintenance strategies in small and medium-sized enterprises Abstract: Presently, the topic of ranking is very significant. Most of real world affairs can be solved by using decision-making techniques. Selecting and ranking of maintenance strategies are sometimes complicated. They have no proper structure and also have multi-criteria viewpoint. Hence, proper selecting and ranking could be considered as a multiple-criteria decision-making (MCDM). Consequently, the main goal of this research is selecting the best maintenance strategy by applying factor analysis (FA) technique and also decision-making methods in the hesitant fuzzy domain. In this study firstly by applying literature and experts' viewpoints on maintenance, the variables and their sub-variables were identified. Then, to reduce the number of variables, the factor analysis method was used. Additionally, to calculate the weights of sub-variables De Luca-Termini, which is a normalised hesitant entropy method, was applied. Finally, the strategies were ranked by using hesitant fuzzy VIKOR method. According to this research, the maintenance strategy based on reliable has higher priority in comparison with the others. Journal: Int. J. of Productivity and Quality Management Pages: 558-592 Issue: 4 Volume: 29 Year: 2020 Keywords: maintenance; factor analysis; De Luca-Termini entropy; hesitant fuzzy VIKOR; small and medium-sized enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=106424 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:558-592 Template-Type: ReDIF-Article 1.0 Author-Name: V. Srinivas Viswanth Author-X-Name-First: V. Srinivas Author-X-Name-Last: Viswanth Author-Name: R. Ramanujam Author-X-Name-First: R. Author-X-Name-Last: Ramanujam Author-Name: G. Rajyalakshmi Author-X-Name-First: G. Author-X-Name-Last: Rajyalakshmi Title: Performance study of eco-friendly dielectric in EDM of AISI 2507 super duplex steel using Taguchi-fuzzy TOPSIS approach Abstract: In the present study, the application of Pongamia natural ester as a renewable green dielectric (GD) applied in the electric discharge machining (EDM) of AISI 2507 super duplex steel. This investigation aims to study the effect of Pongamia green dielectric in the EDM process. The major process variables such as pulse-on time (<i>T<SUB align="right"><SMALL>ON</SMALL></SUB></i>), pulse-off time (<i>T<SUB align="right"><SMALL>OFF</SMALL></SUB></i>), peak current (<i>I<SUB align="right"><SMALL>P</SMALL></SUB></i>), voltage (<i>v</i>) and inter-electrode gap (<i>IEG</i>) on performance measures like material removal rate (MRR), electrode wear rate (EWR) and surface roughness (SR). The Taguchi's orthogonal array (OA) <i>L</i><SUB align="right"><SMALL>27</SMALL></SUB> has been selected for this experimentation. The choice of optimal input parameter settings that are attained by multi-response optimisation of performance measures using Taguchi-fuzzy-TOPSIS technique is <i>T<SUB align="right"><SMALL>ON</SMALL></SUB></i> = 500 μs, <i>T<SUB align="right"><SMALL>OFF</SMALL></SUB></i> = 30 μs, <i>I<SUB align="right"><SMALL>P</SMALL></SUB></i> = 15 A, <i>v</i> = 40 V and <i>IEG</i> = 180 μm. The optimal settings have increased the productivity aspects by the four decision makers (DM) order priorities. The optimised results, shown the improvement in MRR with the minimised EWR and SR. The optimal settings of the process for improved machining responses were identified by Taguchi's response graph and analysis of variance (ANOVA). The recast layer and micrographs were examined utilising scanning electron microscopy (SEM). Journal: Int. J. of Productivity and Quality Management Pages: 518-541 Issue: 4 Volume: 29 Year: 2020 Keywords: electric discharge machining; EDM; green dielectric; electrode wear rate; EWR; surface roughness; SR; Taguchi; productivity; fuzzy-TOPSIS; material removal rate; MRR. File-URL: http://www.inderscience.com/link.php?id=106425 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:29:y:2020:i:4:p:518-541 Template-Type: ReDIF-Article 1.0 Author-Name: Chew Keat Cheah Author-X-Name-First: Chew Keat Author-X-Name-Last: Cheah Author-Name: Joshua Prakash Author-X-Name-First: Joshua Author-X-Name-Last: Prakash Author-Name: Kok Seng Ong Author-X-Name-First: Kok Seng Author-X-Name-Last: Ong Title: Overall equipment effectiveness: a review and development of an integrated improvement framework Abstract: The paper reviews the background of OEE and various improvement frameworks and explores their limitations. The review found that there is a lack of improvement frameworks with systematic steps specifically developed for OEE implementation. In addition, it was found that improvement frameworks of different methodologies do not fully capitalise on the use of performance measures as benchmarks and improvement drivers although they provide structured improvement steps/guidelines. These findings show there is a need for a new integrated OEE improvement framework that incorporates the advantages of both OEE and improvement frameworks. By encompassing the core characteristics of OEE and synergising the strengths of improvement frameworks, the new framework will provide OEE practitioners a systematic guidance in carrying out improvement implementation. It will also provide overall directions on how to carry out OEE improvements and allow the practitioners to make better decisions regarding project management. Journal: Int. J. of Productivity and Quality Management Pages: 46-71 Issue: 1 Volume: 30 Year: 2020 Keywords: overall equipment effectiveness; OEE; improvement frameworks; manufacturing; performance measure; benchmark; prioritisation; implementation. File-URL: http://www.inderscience.com/link.php?id=107240 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:46-71 Template-Type: ReDIF-Article 1.0 Author-Name: B. Rajesh Menon Author-X-Name-First: B. Rajesh Author-X-Name-Last: Menon Author-Name: P.R. Shalij Author-X-Name-First: P.R. Author-X-Name-Last: Shalij Author-Name: K.R. Kiron Author-X-Name-First: K.R. Author-X-Name-Last: Kiron Author-Name: J. Sreejith Author-X-Name-First: J. Author-X-Name-Last: Sreejith Author-Name: P. Sajeesh Author-X-Name-First: P. Author-X-Name-Last: Sajeesh Title: Cost value stream mapping as a lean assessment tool in a small-scale industry Abstract: Value stream mapping (VSM) is a lean tool which addresses the non-value added activities in time domain. But, it fails to address it in a cost domain. In this work, a new tool called cost value stream map (CVSM) is proposed, which addresses the problems encountered in conventional VSM and cost-time profile (CTP) and maintaining the advantages of both. The determination of work in process inventory and non-value added costs incurred by using CVSM are demonstrated by presenting a case study. An SME in Kerala, India is selected for this. Lean techniques applied on the various non-value added activities in the order of their cost investments 27% reduction in lead time, 27%-32% reduction in WIP inventory and 40%-42% reduction in cost investment while manufacturing the product. The reductions when accounted annually there is a saving of INR.2,17,728 in the value added cost. Journal: Int. J. of Productivity and Quality Management Pages: 72-91 Issue: 1 Volume: 30 Year: 2020 Keywords: value stream mapping; VSM; cost investment; lean tools; cost-time profile; CTP; adjustable prop. File-URL: http://www.inderscience.com/link.php?id=107274 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:72-91 Template-Type: ReDIF-Article 1.0 Author-Name: Reeti Agarwal Author-X-Name-First: Reeti Author-X-Name-Last: Agarwal Author-Name: Ankit Mehrotra Author-X-Name-First: Ankit Author-X-Name-Last: Mehrotra Title: Extracting performance improvement factors using DEA for a robust Indian retail industry Abstract: The Indian retail industry is facing high growth trajectory which is attracting a number of players both domestic and foreign. Given its role in the growth of the Indian economy, a robust retail industry is the need of the hour. An understanding of the efficiency levels of some of the retail players and an identification of the variables that have an impact on the level of efficiency is required to increase and sustain the robustness of the industry. The current study extracts and analyses performance improvement factors that have an impact on the efficiency of organised retail companies of India by analysing data corresponding to 12 variables for six retail companies over a period of seven years. The findings of the study showed that five out of the six Indian retail companies studied faced inefficiency at least during one of the years over the period of seven years under study. The three input variables that the current study suggest need careful consideration by the companies are handling of receivables and inventories (current assets) followed by advertising and power and fuel expenses. Journal: Int. J. of Productivity and Quality Management Pages: 107-125 Issue: 1 Volume: 30 Year: 2020 Keywords: efficiency; Indian retail industry; data envelopment analysis; DEA; sensitivity analysis; Indian economy. File-URL: http://www.inderscience.com/link.php?id=107277 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:107-125 Template-Type: ReDIF-Article 1.0 Author-Name: Jong-Min Kim Author-X-Name-First: Jong-Min Author-X-Name-Last: Kim Author-Name: Chuwen Li Author-X-Name-First: Chuwen Author-X-Name-Last: Li Author-Name: Il Do Ha Author-X-Name-First: Il Do Author-X-Name-Last: Ha Title: Generalised linear mixed logit and probit models applied to US Army and Navy data Abstract: We apply the generalised linear mixed model (GLMM) with logit and probit links to data (Stevens and Anderson-Cook, 2017a, 2017b), which is univariate data with binary response of passing or failing for complex munitions generated to match age and usage rate found in US Department of Defense complex systems (Army and Navy). Instead of the generalised linear model (GLM) used in Stevens and Anderson-Cook (2017b), we propose to apply the adaptive Gaussian hermite quadrature approach (GLMM-AGHQ) (Ha et al., 2017) to predict binary response of passing or failing for the Army and Navy data. We suggest two methods to find the best models for the Army and Navy. The first method is based on statistical inference, the variance of random effect for intercept term for every GLMM given in this paper, and the log-likelihood. The second method focuses on the accuracy of prediction of each model. We compare the GLMMs with the GLMs in terms of inter quartile range (IQR) of the residuals. We find that the models capturing random effects lead to smaller IQR which in the end results in the high accuracy of the models. This accuracy is measured by area under receiver operating characteristic curve (AUC). Journal: Int. J. of Productivity and Quality Management Pages: 126-142 Issue: 1 Volume: 30 Year: 2020 Keywords: logit; probit; random effect; generalised linear model; GLM; generalised linear mixed model; GLMM. File-URL: http://www.inderscience.com/link.php?id=107279 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:126-142 Template-Type: ReDIF-Article 1.0 Author-Name: Arindam Ghosh Author-X-Name-First: Arindam Author-X-Name-Last: Ghosh Author-Name: J.K. Jha Author-X-Name-First: J.K. Author-X-Name-Last: Jha Author-Name: S.P. Sarmah Author-X-Name-First: S.P. Author-X-Name-Last: Sarmah Title: Production-inventory models considering different carbon policies: a review Abstract: Mitigating carbon emissions in supply chains has become an important issue in the recent era. Recently, companies are looking for solutions to lessen carbon emissions associated with their supply chains mainly due to carbon policies imposed by different regulatory bodies. Apart from regulations, competitive advantage, ISO certification, customer satisfaction also influence organisations to adopt green practices in their supply chains. Production and inventory are two important aspects of supply chains, and they contribute to a significant amount of cost and emissions. Organisations try to optimise their production and inventory related activities with operational adjustments while operating under different carbon policies. Over the last couple of years, authors have incorporated different carbon policies while optimising supply chains, especially production-inventory policies. This paper presents a review of quantitative models on green production-inventory problems considering different carbon policies and ends with suggestions for future research. Journal: Int. J. of Productivity and Quality Management Pages: 1-27 Issue: 1 Volume: 30 Year: 2020 Keywords: carbon policies; production-inventory policies; green supply chain; quantitative models; emissions. File-URL: http://www.inderscience.com/link.php?id=107280 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Sugandren Naidoo Author-X-Name-First: Sugandren Author-X-Name-Last: Naidoo Author-Name: Rohith Ramphal Author-X-Name-First: Rohith Author-X-Name-Last: Ramphal Title: Different management systems: integration or combination? Abstract: The focus in this paper is on integration and combination, as two important concepts in management systems. In this paper, a definition of integration and combination as related to business management is proposed. The lack of resolution can be extrapolated to basic dissimilarities in the competing resource-based perspectives on strategy and the application of strategy typologies based on those standpoints. A comprehensive literature review will be conducted. The authors identify a high-level meta synthesis of integration and combination definitions as related to business management. The findings argue that there are remarkable differences, but also similarities between the analyses of Schumpeter and Anderson's theories of integration and combination. Journal: Int. J. of Productivity and Quality Management Pages: 92-106 Issue: 1 Volume: 30 Year: 2020 Keywords: integration; management systems; combination; literature review; business management; strategy; meta synthesis. File-URL: http://www.inderscience.com/link.php?id=107281 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:92-106 Template-Type: ReDIF-Article 1.0 Author-Name: K. Mathiyazhagan Author-X-Name-First: K. Author-X-Name-Last: Mathiyazhagan Author-Name: Shivani Sehrawat Author-X-Name-First: Shivani Author-X-Name-Last: Sehrawat Author-Name: Bhumika Sharma Author-X-Name-First: Bhumika Author-X-Name-Last: Sharma Author-Name: V. Sivabharathi Author-X-Name-First: V. Author-X-Name-Last: Sivabharathi Title: Modelling the challenging factors for setting up semiconductor fabrication plants: a case study from India Abstract: Semiconductors form the essential part of integrated circuits which are used in all electronic equipment and have revolutionised the world of electronics. The setting up of semiconductor fabrication industry is a tough task because of various challenging factors. Industries in India have initiated the setting up of the plant, but still, they are struggling to identify challenging factors hindering the setting up of semiconductor fabrication plants. A total of 27 challenging factors were identified through detailed literature and discussion with industrial experts by a questionnaire-based survey. Further, essential 15 challenging factors are identified based on mean-variance. Finally, this paper then uses the analytic hierarchy process (AHP) to prioritise the challenging factors. Journal: Int. J. of Productivity and Quality Management Pages: 28-45 Issue: 1 Volume: 30 Year: 2020 Keywords: semiconductor fabrication; manufacturing; challenging factors; analytic hierarchy process; AHP; mean-variance. File-URL: http://www.inderscience.com/link.php?id=107295 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:1:p:28-45 Template-Type: ReDIF-Article 1.0 Author-Name: Vikram Sharma Author-X-Name-First: Vikram Author-X-Name-Last: Sharma Author-Name: Naveen Virmani Author-X-Name-First: Naveen Author-X-Name-Last: Virmani Title: Development of lean production system using value stream mapping approach: a case study Abstract: Intense competition in global market is encouraging management to search for new ways to reduce cost and improve profits. Manufacturing firms are realising that cost reduction through waste elimination can improve their competitive potential. Lean production concepts can be employed for waste elimination. However, managers find it difficult to identify the key areas for waste elimination. The field of lean production has offered value stream mapping (VSM) as a visualisation tool to identify waste elimination opportunities. Using this tool, it is possible to map the current state and accordingly analyse for achieving waste elimination. In order to illustrate this aspect, the case study presented in this paper shows the way the firms can apply VSM for identifying the potential areas for applying this waste elimination technique. The purpose of this research is to examine value stream mapping (VSM) implementation in a gear manufacturing company located in national capital region of India. The case study shows that the production time, inventory and defects can be reduced significantly. Thus, VSM assists the managers to envisage the current level of wastes occurring in an organisation and the future means of eliminating them. Journal: Int. J. of Productivity and Quality Management Pages: 168-185 Issue: 2 Volume: 30 Year: 2020 Keywords: lean production; value stream mapping; VSM; manufacturing firm; quality; customer satisfaction. File-URL: http://www.inderscience.com/link.php?id=107811 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:2:p:168-185 Template-Type: ReDIF-Article 1.0 Author-Name: C. Shyam Murali Author-X-Name-First: C. Shyam Author-X-Name-Last: Murali Author-Name: A. Prabukarthi Author-X-Name-First: A. Author-X-Name-Last: Prabukarthi Title: Productivity improvement in furniture industry using lean tools and process simulation Abstract: The objective of the study is to improve productivity of a furniture manufacturing company. Demand forecasts play a crucial role in productivity, improvement and production planning analysing the problems associated with it and there by tackling over production and shortage. Demand forecasting was analysed using three (simple moving average method, weighted moving average method, seasonal regression method) different methods in which seasonal regression was found to be more accurate for the current scenario. This method reduces the deviation of forecast by 17.37% which will result in better visibility thus by improvement in productivity. Preliminary survey showed that there were some processes that lead to overall increase in production lead time and industry is not keen in operating the second shift particularly in painting department, which leads to under-utilisation of resources. This research work opted for an exploratory study using the time study analysis and value stream mapping (VSM) to identify bottleneck processes. Brainstorming session was conducted to plot cause and effect and there by priorities the causes to tackle. Simulation analysis was performed to understand the utilisation of man-machine using the current and alternative method. The proposed methods improve the operator utilisation to 54% from 29% and output by 50%. Journal: Int. J. of Productivity and Quality Management Pages: 214-233 Issue: 2 Volume: 30 Year: 2020 Keywords: mean absolute deviation; MAD; mean square error; MSE; value stream mapping; VSM; simulation. File-URL: http://www.inderscience.com/link.php?id=107812 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:2:p:214-233 Template-Type: ReDIF-Article 1.0 Author-Name: Nawaf Alghusin Author-X-Name-First: Nawaf Author-X-Name-Last: Alghusin Author-Name: Mohammed Iqbal Al-Ajlouni Author-X-Name-First: Mohammed Iqbal Author-X-Name-Last: Al-Ajlouni Title: Transformational leadership as an antecedent for organisational commitment and job performance in the banking sector of Jordan Abstract: Guided by social-exchange-theory, present study examined transformational leadership (TL) as an antecedent for organisational commitment (OC) and its subsequent influence on job performance (JP). Through using a structured self-administered questionnaire, data were collected surveying (439) non-executive employees operating in (15) banks listed in Amman-Stock-Exchange through non-probability purposive sampling. Structural-equation-modelling using SMART-PLS was utilised and the result reported that TL components achieved 44%, 42.5% and 35.4% of the variance in affective, continuous and normative commitment respectively. Idealised influence did not have any significant effect on any level of OC, whereas intellectual stimulation influenced the three levels of OC. Individualised consideration influenced only affective and continuous commitment, and inspirational motivation influenced only normative and continuous commitment. Moreover, only affective commitment was significant in influencing JP and accounted for 82% of the variance. Following the results, discussion and implication were provided. Also, directions and suggestions for future researches were presented. Journal: Int. J. of Productivity and Quality Management Pages: 186-213 Issue: 2 Volume: 30 Year: 2020 Keywords: transformational leadership; organisational commitment; job performance; social exchange theory; quantitative; banking sector; Jordan. File-URL: http://www.inderscience.com/link.php?id=107814 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:2:p:186-213 Template-Type: ReDIF-Article 1.0 Author-Name: P.N. Ramkumar Author-X-Name-First: P.N. Author-X-Name-Last: Ramkumar Author-Name: K.P. Satish Author-X-Name-First: K.P. Author-X-Name-Last: Satish Title: Statistical investigation of Lean Six Sigma for waste reduction in Indian SMES by identify rank define analyse improve control model Abstract: Lean manufacturing is capable of reducing the existing rates of production to a reasonable amount and also to raise the productivity by improving the quality of the material, and hence to maximise the number of customers. In this research paper, the LSS is practiced in the small and medium scale industries for improving the productivity of the firm. For that, a new statistical method named identify rank define analyse improve control (IRDAIC) model is actualised in the Indian SMEs for handling the survey. For optimising the industrial parameters multiple nonlinear regression analysis and enhanced grey wolf optimisation is used in this paper. The proposed hybrid statistical assessment and optimisation process is executed and evaluated in the working platform of MATLAB in terms of production cost. Ultimately, from the evaluation the proposed novel statistical optimisation technique is optimal for improving the productivity of the Lean Six Sigma manufacturing firm respectively. Journal: Int. J. of Productivity and Quality Management Pages: 252-277 Issue: 2 Volume: 30 Year: 2020 Keywords: industrial production; optimisation; metaheuristic algorithm; regression analysis. File-URL: http://www.inderscience.com/link.php?id=107815 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:2:p:252-277 Template-Type: ReDIF-Article 1.0 Author-Name: Sharfuddin Ahmed Khan Author-X-Name-First: Sharfuddin Ahmed Author-X-Name-Last: Khan Author-Name: M. Affan Badar Author-X-Name-First: M. Affan Author-X-Name-Last: Badar Author-Name: Mohammed Alzaabi Author-X-Name-First: Mohammed Author-X-Name-Last: Alzaabi Title: Productivity improvement using DMAIC in a Caravan Manufacturing company Abstract: This paper deals with productivity enhancement of a Caravan Manufacturing company located in United Arab Emirates. A continuous improvement technique: define, measure, analyse, improve, and control (DMAIC) has been implemented in the production department of the case company. A model was developed using Arena software to simulate the caravan manufacturing process and the proposed solution. The model was verified and validated. Control charts were also developed to control and maintain productivity in the case company. It was suggested to change caravan doors from wooden to aluminium. After thorough and careful analysis using simulation, it was found that the production of caravan increased from six per every three days to 11 per every three days. This resulted in increased profit of 500 AED (USD 135) per caravan, 600 more caravans per year and enhanced product life cycle. Moreover it resulted in saving cost, increased production, and product life cycle. Journal: Int. J. of Productivity and Quality Management Pages: 234-251 Issue: 2 Volume: 30 Year: 2020 Keywords: productivity improvement; DMAIC; define, measure, analyse, improve, and control; caravan manufacturing; Pareto chart; cause and effect diagram; simulation; control charts. File-URL: http://www.inderscience.com/link.php?id=107825 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:2:p:234-251 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamed Ben Ali Author-X-Name-First: Mohamed Ben Author-X-Name-Last: Ali Author-Name: Said Rifai Author-X-Name-First: Said Author-X-Name-Last: Rifai Author-Name: Said Barrijal Author-X-Name-First: Said Author-X-Name-Last: Barrijal Author-Name: Otmane Bouksour Author-X-Name-First: Otmane Author-X-Name-Last: Bouksour Title: Proposal of a causal model to measure the impact of quality on industrial performance: a case study from Moroccan context Abstract: This article aims to measure the impact of quality practices on the overall performance of the young manufacturing enterprises located in the Province of Tangier (Morocco). Based on an empirical study via questionnaires administered to the owner-managers and using structural modelling with latent variable via the Xl-Stat software (2015 Version) on a sample of 80 young enterprises, we concluded that, generally, quality practices positively impact the overall performance. However, an invalid link was detected between 'human resources' and 'management process'. Also a weak association was noted on the level of quality practices 'partnerships and resources' and 'management process'. It should be noted that these two practices 'human resources' and 'partnerships and resources' had weak indirect impact on the different perspectives of overall performance. Indeed, to further improve the overall performance, the owner-managers of such enterprises must seek constant improvement of quality practices especially those that have weak associations: human resources and partnerships. Journal: Int. J. of Productivity and Quality Management Pages: 143-167 Issue: 2 Volume: 30 Year: 2020 Keywords: industrial performance; modelling; partial least square; PLS; quality practices; young enterprises. File-URL: http://www.inderscience.com/link.php?id=107826 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:2:p:143-167 Template-Type: ReDIF-Article 1.0 Author-Name: Gholamreza Salehi Author-X-Name-First: Gholamreza Author-X-Name-Last: Salehi Author-Name: Hamid Reza Peikari Author-X-Name-First: Hamid Reza Author-X-Name-Last: Peikari Author-Name: Arash Shahin Author-X-Name-First: Arash Author-X-Name-Last: Shahin Title: Improving the formulation of industrial paints using FMEA and Taguchi approaches Abstract: The aim of this study is to explain how the quality of industrial paints can be improved by failure modes and effects analysis (FMEA) and Taguchi design of experiments. For this purpose, a paint manufacturer was selected and FMEA was applied to identify and prioritize the paint problems. Taguchi was also used to identify and determine the levels of the factors influencing the quality of products. L18 array was selected for designing the required experiments and linear graphs were applied to identify interactions among factors. Findings indicated that the best quality was obtained for the experiment with the characteristics of granule size higher than 10, peak metal temperature (PMT) of 232°C, pigment of high quality, resin content of 55%, catalyst content of 4.1%, using plate with medium quality and maximum content of additives. Results also indicated a decrease of average RPN in all of the identified problems. Journal: Int. J. of Productivity and Quality Management Pages: 304-322 Issue: 3 Volume: 30 Year: 2020 Keywords: Taguchi; failure modes and effects analysis; FMEAs; risk priority number; RPN; orthogonal array; paint. File-URL: http://www.inderscience.com/link.php?id=108352 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:304-322 Template-Type: ReDIF-Article 1.0 Author-Name: Abhishek Ray Author-X-Name-First: Abhishek Author-X-Name-Last: Ray Author-Name: Jagannath Singh Author-X-Name-First: Jagannath Author-X-Name-Last: Singh Title: Dynamic slicing of aspect-oriented software: an UML-based approach Abstract: In this paper, we propose a technique to compute the dynamic slice of UML models for aspect-oriented software. The UML architectural model for aspect-oriented software represents the 'core' components, 'aspectual' components and the relationship between them. Firstly, we construct aspect-oriented model dependence graph (AOMDG) as an intermediate representation of the UML model for aspect-oriented software. AOMDG is a combination of aspect-class dependence graph (ACDG) and aspect-sequence dependence graph (ASDG). ACDG is constructed by using a set of class and set of aspect class diagrams and ASDG is constructed by using a set of sequence and aspect sequence diagrams from the UML architectural model. Then, we propose an algorithm to compute the dynamic slice by traversing AOMDG by marking and unmarking the nodes for a particular scenario during run-time. Journal: Int. J. of Productivity and Quality Management Pages: 371-393 Issue: 3 Volume: 30 Year: 2020 Keywords: aspect; advice; aspect-class dependence graph; ACDG; sequence-class dependence graph; aspect-oriented model dependence graph; AOMDG. File-URL: http://www.inderscience.com/link.php?id=108353 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:371-393 Template-Type: ReDIF-Article 1.0 Author-Name: Suyog B. Rayjadhav Author-X-Name-First: Suyog B. Author-X-Name-Last: Rayjadhav Author-Name: Digvijay A. Mhamane Author-X-Name-First: Digvijay A. Author-X-Name-Last: Mhamane Author-Name: Vasudev D. Shinde Author-X-Name-First: Vasudev D. Author-X-Name-Last: Shinde Title: Assessment of sand reclamation techniques and sand quality in thermal reclamation Abstract: In foundry, sand-moulding takes maximum share of production than other moulding methods. So the foundry requires huge quantity of sand daily. To safeguard environmental issues it is necessary to reuse the sand repeatedly otherwise it also increases disposal cost. In view of increasing demand from environmental and economic aspects, the assessment of sand reclamation systems becomes outmost importance. This study illustrates the various sand reclamation techniques like dry, wet, thermal, cryogenic and microwave reclamation in term of their procedure and assessment. The thermal sand reclamation system is developed comprising of sub units like fluidised bed combustor and fluidised bed sand cooler for 20 kg sand capacity and tested for chemically bonded sand casting. In the present study, developed thermal sand reclamation system is tested and results are compared with different sand reclamation systems. The no-bake-sand can be satisfactorily reclaimed by newly developed thermal sand reclamation technique with appropriate sand quality. Journal: Int. J. of Productivity and Quality Management Pages: 343-353 Issue: 3 Volume: 30 Year: 2020 Keywords: sand moulding; binders; sand reclamation; no-bake; acid demand value; ADV; loss on ignition; LOI; grain size. File-URL: http://www.inderscience.com/link.php?id=108354 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:343-353 Template-Type: ReDIF-Article 1.0 Author-Name: P.C. Ramyamol Author-X-Name-First: P.C. Author-X-Name-Last: Ramyamol Author-Name: Mahesh Kumar Author-X-Name-First: Mahesh Author-X-Name-Last: Kumar Title: Optimal reliability acceptance sampling plan based on accelerated life test data Abstract: In constant stress accelerated life testing, a unit is tested at a fixed stress level until failure or the termination time point of test. Assuming a log linear life-stress relationship, two different acceptance sampling plans namely: 1) acceptance sampling based on asymptotic distribution of the estimator process capability index (<i>Ĉ<SUB align="right"><SMALL>L</SMALL></SUB></i>); 2) acceptance sampling based on exact distribution of <i>Ĉ<SUB align="right"><SMALL>L</SMALL></SUB></i>, are developed for exponential distribution based on data obtained from the progressive type-II censoring. Asymptotic and exact distributions of the estimators of the parameters of exponential distribution are obtained. The parameters of the sampling scheme are obtained by minimising expected total testing cost. Some numerical results and comparisons of obtained sampling schemes are presented in tables to illustrate our plans. Journal: Int. J. of Productivity and Quality Management Pages: 354-370 Issue: 3 Volume: 30 Year: 2020 Keywords: acceptance sampling plan; exponential distribution; accelerated testing; progressive type-II censoring; optimisation; process capability index. File-URL: http://www.inderscience.com/link.php?id=108377 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:354-370 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmet Semih Ozkul Author-X-Name-First: Ahmet Semih Author-X-Name-Last: Ozkul Author-Name: Uzay Damali Author-X-Name-First: Uzay Author-X-Name-Last: Damali Author-Name: Anup Menon Nandialath Author-X-Name-First: Anup Menon Author-X-Name-Last: Nandialath Author-Name: Andrew M. Stapleton Author-X-Name-First: Andrew M. Author-X-Name-Last: Stapleton Title: Determining optimum customer participation level in services: perceptual biases and congruence Abstract: The effect of increased customer participation on service quality remains an enduring dialogue in the services literature. We study the relationship between increased customer participation (i.e., customer workload) and service quality from the theoretical lens of perceptual congruence, a perceptual state in which a customer and a front-line employee have similar perceptions of a co-produced service output. We use an analytical model that relates customer work allocation to perceptual congruence through perceptual biases of a customer and employee. Based on our model, we identify four cases for the service design and present strategies to increase customer work allocation while keeping the perceptual congruence. While the term 'bias' may have a negative connotation, proper management of perceptual biases could allow a service to increase customer work allocation and achieve perceptual congruence at the same time. Journal: Int. J. of Productivity and Quality Management Pages: 323-342 Issue: 3 Volume: 30 Year: 2020 Keywords: co-production; customer participation; customer workload; service quality; perceptual bias; perceptual congruence. File-URL: http://www.inderscience.com/link.php?id=108378 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:323-342 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjay N. Aloni Author-X-Name-First: Sanjay N. Author-X-Name-Last: Aloni Author-Name: Sharad S. Chaudhari Author-X-Name-First: Sharad S. Author-X-Name-Last: Chaudhari Author-Name: Rakesh L. Shrivastava Author-X-Name-First: Rakesh L. Author-X-Name-Last: Shrivastava Title: Optimisation and predictive modelling of green sand casting process to minimise persisting defects in GI components Abstract: Quality of castings produced by a sand casting process have always been the result of proper control over an enormous number of parameters involved in the process, while some of the defects are persisting. In the work presented in this paper, the primary focus is on the investigation of the essential parameters of the green sand casting process for effective understanding of most influential parameters which affects the persisting defects in gray cast iron components. The study applies the Taguchi's 'design of experiments' approach for determining the optimal level of parameters to minimise the persisting defects in the foundry industry producing cast components required in the automotive, factory situated in central India. Besides, a mathematical model has been developed using multiple regression analysis for an individual defect. The outcomes of this study assure that the approach used in this work is useful to foundry industries to minimise the casting defects. Journal: Int. J. of Productivity and Quality Management Pages: 394-427 Issue: 3 Volume: 30 Year: 2020 Keywords: green sand casting process; persisting casting defects; process parameters; Taguchi orthogonal array; analysis of variance; ANOVA; modelling. File-URL: http://www.inderscience.com/link.php?id=108379 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:394-427 Template-Type: ReDIF-Article 1.0 Author-Name: S. Mahalakshmi Author-X-Name-First: S. Author-X-Name-Last: Mahalakshmi Author-Name: A. Arokiasamy Author-X-Name-First: A. Author-X-Name-Last: Arokiasamy Title: Productivity and quality enrichment through multi criteria trajectory optimisation of an industrial robot Abstract: To foster the fourth industrial revolution, a lot of efforts are being created to maximising the production by optimising the present manufacturing processes. One in every of such try is done to optimise activities of robot manipulators in industries. In this work, two new variants of intelligent algorithms, specifically, canonical particle swarm optimisation with mutation operator (CMPSO) and self accommodative differential evolution (SADE) are proposed to optimise the trajectory of a robot manipulator (MTAB ARISTO 6XT) to reduce production cost. Optimal trajectory is generated from the information of internal structure of robots by considering robot mechanics and dynamics. A multi criteria cost function represents the production price. The algorithms produce cost effective and collision-free trajectories by considering knot points on the trajectory. A productivity and economic study was carried out. The economic benefits yielded by CMPSO and SADE are good. The results proved the goodness of the proposed algorithms. Journal: Int. J. of Productivity and Quality Management Pages: 279-303 Issue: 3 Volume: 30 Year: 2020 Keywords: productivity; multi criteria; optimal robot trajectory planning; obstacle avoidance; CMPSO; self accommodative differential evolution; SADE. File-URL: http://www.inderscience.com/link.php?id=108380 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:279-303 Template-Type: ReDIF-Article 1.0 Author-Name: Dominik Zimon Author-X-Name-First: Dominik Author-X-Name-Last: Zimon Author-Name: Pedro Domingues Author-X-Name-First: Pedro Author-X-Name-Last: Domingues Title: Impact of implementation of ISO 22000 on food safety throughout the supply chain: insights from Poland, Slovakia and Portugal Abstract: This study aims to determine the impact of standardised food safety management systems on food safety throughout the supply chain. The research was carried out among several European countries on the legitimacy of implementing the requirements of ISO 22000 and an attempt was carried out to compare how the standard is perceived by entrepreneurs operating in the east and west of Europe. Throughout all the research process, great attention was paid to the impact of the ISO 22000 standard on the functioning of logistics processes in supply chains as this aspect is scarcely addressed in the literature on the subject. According to the authors, the research results may prove useful for European entrepreneurs considering the implementation and certification against the requirements of the ISO 22000 standard. Journal: Int. J. of Productivity and Quality Management Pages: 509-526 Issue: 4 Volume: 30 Year: 2020 Keywords: ISO 22000; food safety management system; FSMS; supply chain; Poland; Slovakia and Portugal. File-URL: http://www.inderscience.com/link.php?id=108568 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:509-526 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Hossein Karimi Gavareshki Author-X-Name-First: Mohammad Hossein Karimi Author-X-Name-Last: Gavareshki Author-Name: Morteza Abbasi Author-X-Name-First: Morteza Author-X-Name-Last: Abbasi Author-Name: Mahdi Karbasian Author-X-Name-First: Mahdi Author-X-Name-Last: Karbasian Author-Name: Ramin Rostamkhani Author-X-Name-First: Ramin Author-X-Name-Last: Rostamkhani Title: Presenting a productive and sustainable model of integrated management system for achieving an added value in organisational processes Abstract: The present research mainly aims at a presenting of productive and sustainable integrated management system model, which can create or increase an added value in all organisational processes and sub-processes. The key tools for the realisation of this goal are the important units mostly observable in today's organisations. The main core of the study is developed to implementing the mentioned model by including the three international standards (ISO 9001, ISO 14001 and OHSAS 18001) in a selected industry. The first innovation of this research is the introduction of process capability indices in the form of comprehensive tables and descriptions of each unit's role in achieving the desired productivity and sustainability. Also, for the first time, proper control charts are used to provide assurance of the controlled flow of data. The second novelty of the study is the verification path the model proceeds in the determined scope. Journal: Int. J. of Productivity and Quality Management Pages: 429-461 Issue: 4 Volume: 30 Year: 2020 Keywords: productivity; sustainability; organisational processes; integrated management system; IMS. File-URL: http://www.inderscience.com/link.php?id=108569 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:429-461 Template-Type: ReDIF-Article 1.0 Author-Name: A.K. Jeevanantham Author-X-Name-First: A.K. Author-X-Name-Last: Jeevanantham Author-Name: S.V. Chaitanya Author-X-Name-First: S.V. Author-X-Name-Last: Chaitanya Author-Name: Rajeshkannan Ananthanarayanan Author-X-Name-First: Rajeshkannan Author-X-Name-Last: Ananthanarayanan Title: Matrix-based tolerance analysis for multi-component selective assembly with geometric and dimensional features using genetic algorithm Abstract: Tolerance analysis (TA) is a method of investigating how the geometric and dimensional tolerance (GDT) deviations in each component propagate and affect the functional requirements of the product. Total deviation in an assembly fit can be controlled by selecting the components of the assembly through a purposeful strategy, called selective assembly (SA). In this paper, the matrix model of TA is applied in SA. The surface-based and shape closure analyses are done using the principles of TTRS and MGDE, and the assembly fit is modelled in terms of displacement matrices. The conventional method of dividing the components into groups only by the deviation on dimensional tolerance (DT) alone is replaced by integrated GDT. The effect of rotational displacements in component features on assembly fit is verified. A two-dimensional, worst case, rigid TA in SA is demonstrated. The best combinations of assembly components are obtained through genetic algorithm. Journal: Int. J. of Productivity and Quality Management Pages: 527-560 Issue: 4 Volume: 30 Year: 2020 Keywords: selective assembly; tolerance analysis; matrix model; clearance variation; genetic algorithm. File-URL: http://www.inderscience.com/link.php?id=108570 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:527-560 Template-Type: ReDIF-Article 1.0 Author-Name: K. Balakrishnan Author-X-Name-First: K. Author-X-Name-Last: Balakrishnan Author-Name: S.R. Devadasan Author-X-Name-First: S.R. Author-X-Name-Last: Devadasan Author-Name: V.M.M. Thilak Author-X-Name-First: V.M.M. Author-X-Name-Last: Thilak Author-Name: D. Selvi Soundaram Author-X-Name-First: D. Selvi Author-X-Name-Last: Soundaram Title: Leagile manufacturing paradigm in the production of jet pump - an implementation experience Abstract: One of the types of pumps that find high demand from the customers is jet pumps. Today, pump manufacturing companies are required to produce conventionally designed jet pump as well as improved and innovative forms of the same to meet the demand of several customers. This kind of demand can be fulfilled only when leagile manufacturing paradigm is implemented around the production of jet pumps. In order to have a successful implementation of the same, while pursuing the research reported in this paper, a model named as 'pumping for leagility' (PFL) was designed and applied in the case of producing jet pumps in a typical Indian pump manufacturing company. The PFL model has eight steps comprising of 31 activities. By applying PFL model, the nuances of developing leagile manufacturing paradigm in real-time practice was examined and the extent of implementation in the production of jet pump was studied. Journal: Int. J. of Productivity and Quality Management Pages: 462-487 Issue: 4 Volume: 30 Year: 2020 Keywords: leagile manufacturing; productivity; decoupling point; plant layout; organisational structure. File-URL: http://www.inderscience.com/link.php?id=108571 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:462-487 Template-Type: ReDIF-Article 1.0 Author-Name: Fikri Dweiri Author-X-Name-First: Fikri Author-X-Name-Last: Dweiri Author-Name: Samar Ishaq Author-X-Name-First: Samar Author-X-Name-Last: Ishaq Title: Cable insulation productivity improvement using Lean Six Sigma Abstract: Nowadays organisations are finding innovative ways to improve customer satisfaction and increase profitability. This can only be possible if they continuously and effectively improve their products and processes. The purpose of this study is to improve cable insulation process using Lean Six Sigma (LSS). Define, measure, analyse, improve, and control (DMAIC) and failure mode effect and criticality analysis (FMECA) were used to identify one of the critical problems which is break and crack in insulation layer of cables in a case company. The design of experiment (DOE) was used to reduce the occurrence of break and crack in cable insulation. Three main factors (supplier, temperature and pressure) each with two fixed levels were considered. The result showed that supplier and temperature are the only significant main factors at the 95% significance level. All interaction levels were not significant as well as the pressure main factor. The results show that risk priority number (RPN), which is an indicator for productivity improvement, was reduced from 745 to 205. Also the experiment produced fewer defects that lead to improve productivity. Journal: Int. J. of Productivity and Quality Management Pages: 488-508 Issue: 4 Volume: 30 Year: 2020 Keywords: performance improvement; production line; Lean Six Sigma; LSS; failure mode effect and criticality analysis; FMECA; risk priority number; RPN. File-URL: http://www.inderscience.com/link.php?id=108573 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:488-508 Template-Type: ReDIF-Article 1.0 Author-Name: Hayat Lionboui Author-X-Name-First: Hayat Author-X-Name-Last: Lionboui Author-Name: Fouad Elame Author-X-Name-First: Fouad Author-X-Name-Last: Elame Author-Name: Abdelghani Boudhar Author-X-Name-First: Abdelghani Author-X-Name-Last: Boudhar Author-Name: Rachid Hadria Author-X-Name-First: Rachid Author-X-Name-Last: Hadria Author-Name: Brahim El Boukari Author-X-Name-First: Brahim El Author-X-Name-Last: Boukari Author-Name: Tarik Benabdelouahab Author-X-Name-First: Tarik Author-X-Name-Last: Benabdelouahab Title: A modelling approach to assess technology effect on wheat farms performance in semi-arid areas Abstract: In order to improve socio-economic conditions in rural areas, the purpose of this study is to develop models for estimating wheat yield based on the use of agricultural inputs. The emphasis is not only on increasing production, but on economically efficient production that optimises productive resources. Thereby, a cost efficiency analysis for wheat producers was conducted based on a sample of 111 farmers in the Tadla Plain in central Morocco. To achieve this objective, two models devoted to wheat yield estimation in terms of costs and quantities of agricultural inputs were developed, based on stepwise regression approach. Furthermore, data envelopment analysis (DEA) method was used to analyse the cost efficiency of farms. Overall, this work separates the excess costs related to technical efficiency and economies of scale to cost efficiency in order to understand the type of actions that farmers can take to reduce production costs and ensure their resilience. Journal: Int. J. of Productivity and Quality Management Pages: 561-577 Issue: 4 Volume: 30 Year: 2020 Keywords: wheat farm; yield model; data envelopment analysis; DEA; cost efficiency; performance; profitability; Morocco. File-URL: http://www.inderscience.com/link.php?id=108575 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:561-577 Template-Type: ReDIF-Article 1.0 Author-Name: Elia Oey Author-X-Name-First: Elia Author-X-Name-Last: Oey Author-Name: Bernice Ngudjiharto Author-X-Name-First: Bernice Author-X-Name-Last: Ngudjiharto Author-Name: Wennie Cyntia Author-X-Name-First: Wennie Author-X-Name-Last: Cyntia Author-Name: Monique Natashia Author-X-Name-First: Monique Author-X-Name-Last: Natashia Author-Name: Scherly Hansopaheluwakan Author-X-Name-First: Scherly Author-X-Name-Last: Hansopaheluwakan Title: Driving process improvement from customer preference with Kansei engineering, SIPA and QFD methods - a case study in an instant concrete manufacturer Abstract: Today's competitive market forces companies to continuously seek ways to accommodate customer needs and requirement in their product and process improvement. The study is a case study in an instant concrete manufacturer seeking ways to improve its process in order to win its market share. The study used Kansei engineering approach in capturing what customer's wants. The generated customer attributes were then measured and benchmarked against two competitors. SIPA grid was used to group the attributes into cluster of importance. Based on SIPA grid clustering, house of quality was built, and technical attributes were generated as action plans for improvement. The results recommended the studied company to focus on top five action plans, namely 'computerised system to ensure quality', 'bulk pricing', 'bundle promotion', and '1 × 24 hours on time delivery system'. Journal: Int. J. of Productivity and Quality Management Pages: 28-48 Issue: 1 Volume: 31 Year: 2020 Keywords: Kansei engineering; SIPA; concrete; quality function deployment; QFD. File-URL: http://www.inderscience.com/link.php?id=109326 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:28-48 Template-Type: ReDIF-Article 1.0 Author-Name: Dharyll Prince Abellana Author-X-Name-First: Dharyll Prince Author-X-Name-Last: Abellana Title: An interpretative structural modelling approach to analysing root causes of defective jobs: a case study in an automobile service industry Abstract: This paper addresses, explores, and analyses one of the critical productivity and quality problems in the automobile service industry, which is defective jobs or rework due to bad repairs through a case study conducted in Cebu City, Philippines. The paper determined 22 potential causes of the quality problem through the focus group discussion. An interpretative structural modelling is adopted to model the interrelationships of the identified causes in a hierarchical structure. The study has two primary outputs: 1) a list of potential causes of defective jobs; 2) a digraph presenting the interrelationships of the determined causes. The results of this study will significantly contribute to the literature as it provides scholars insights as well as a methodology to analyse quality problems in a causal analysis environment. Moreover, it will also be beneficial to practitioners as it provides them with essential managerial insights that can be useful in practice. Journal: Int. J. of Productivity and Quality Management Pages: 1-27 Issue: 1 Volume: 31 Year: 2020 Keywords: interpretative structural modelling; ISM; rework; automobile service; defective jobs; causal analysis. File-URL: http://www.inderscience.com/link.php?id=109327 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Deevesh Sharma Author-X-Name-First: Deevesh Author-X-Name-Last: Sharma Author-Name: Monica Sharma Author-X-Name-First: Monica Author-X-Name-Last: Sharma Title: The concept of ergonomic evaluation for industrial building spaces Abstract: Continuously providing world class products to the customers requires state of the art industrial facilities and some of the brightest minds in the world. The employees and the industrial setups are the most valuable assets of any industry. The paper discusses a concept model for evaluation of industrial building spaces which would safeguard the employees with safety and healthy working environment as well as contribute towards improving the efficiency and productivity of work. Significant ergonomic factors like illumination, acoustics, thermal, vibration and utility are discussed to be key contributors to the evaluation methodology. Some acceptable and healthy ranges of these factors and how they can be used to evaluate an industrial space are discussed. How requirement-based evaluation is more accurate and precise is also covered in this paper. Journal: Int. J. of Productivity and Quality Management Pages: 68-78 Issue: 1 Volume: 31 Year: 2020 Keywords: ergonomic evaluation; industry; lighting; vibrations; illumination; building spaces; acoustics; ventilation; productivity; quality. File-URL: http://www.inderscience.com/link.php?id=109329 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:68-78 Template-Type: ReDIF-Article 1.0 Author-Name: Shashi K. Shahi Author-X-Name-First: Shashi K. Author-X-Name-Last: Shahi Author-Name: Mohamed Dia Author-X-Name-First: Mohamed Author-X-Name-Last: Dia Title: Empirical study of the performance of Ontario's pulp and paper mills using bootstrap data envelopment analysis Abstract: Ontario's pulp and paper mills have been facing extreme competitive pressures due to declining markets and low-cost competition from around the world, which have affected their performance and relative technical efficiency. This study uses a non-parametric technique, bootstrap data envelopment analysis, in analysing the operational efficiency of 23 pulp and paper mills in Ontario with sample data collected over a period of 17 years (1999 to 2015). The results indicate low levels of efficiencies due to the management of operations as well as the scale of operations, especially during the economic downturns. In addition, we noticed regional differences in the operational efficiencies of these mills. These results provide comprehensive details to mill managers to reallocated future resources. Journal: Int. J. of Productivity and Quality Management Pages: 98-133 Issue: 1 Volume: 31 Year: 2020 Keywords: bootstrapping; data envelopment analysis; DEA; forest industry; pulp mills; paper mills; Ontario; technical efficiency. File-URL: http://www.inderscience.com/link.php?id=109330 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:98-133 Template-Type: ReDIF-Article 1.0 Author-Name: Miriam F. Bongo Author-X-Name-First: Miriam F. Author-X-Name-Last: Bongo Author-Name: Junny Ann Inot Author-X-Name-First: Junny Ann Author-X-Name-Last: Inot Author-Name: Claitee Sebios Author-X-Name-First: Claitee Author-X-Name-Last: Sebios Title: Risk analysis on the current design of wooden-hulled boats with outrigger using fuzzy FMEA Abstract: In constructing wooden-hulled boats with outrigger, it is imperative to consider design factors that relate to safe operating conditions and sustainability. However, there exists no set of design failure modes in the literature specific to that of wooden-hulled boats with outrigger, thus, making it difficult for stakeholders of the maritime domain to understand fully the risks present in its design and construction. Therefore, this paper applies fuzzy FMEA to assess the risks involved in the design and construction of wooden-hulled boats with outrigger. The proposed methodology is applied in the Philippines, and it is found that high priority should be provided to failure modes pertaining directly to the type of wood used, being the primary component of wooden-hulled boats with outrigger, followed by failure modes specific on the design aspects. With such results, stakeholders are better facilitated on policies to be implemented to achieve an efficiently designed wooden-hulled boat with outrigger. Journal: Int. J. of Productivity and Quality Management Pages: 134-149 Issue: 1 Volume: 31 Year: 2020 Keywords: wooden-hulled boat with outrigger; fuzzy FMEA; risk analysis; safe boat operations. File-URL: http://www.inderscience.com/link.php?id=109334 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:134-149 Template-Type: ReDIF-Article 1.0 Author-Name: Azarnoush Ansari Author-X-Name-First: Azarnoush Author-X-Name-Last: Ansari Author-Name: Ali Sanayei Author-X-Name-First: Ali Author-X-Name-Last: Sanayei Title: An algorithm for identifying loyal customers in C2C electronic commerce models Abstract: Today, the use of the internet for commercial transactions and sales has dramatically increased. E-commerce has different models including the consumer-to-consumer (C2C) model. The purpose of this study is to identify the factors influencing Iranian users' intentions when buying from C2C websites. The research model was developed based on the factors affecting the trust between members of C2C websites and other factors impacting consumer buying behaviour. The data was collected from the users of two C2C websites in Iran. The research method was quantitative and data collection was performed using questionnaire. The collected data was analysed through structural equation modelling. The relationships between the variables in the research model including familiarity with other members, perceived similarity with other members, perception of structural assurances, trust propensity, trust in members, trust in website, intention to get information, and purchase intention from C2C website were tested using structural equation modelling technique. In the end, based on hypothesis testing results, important recommendations were suggested for better design and management of C2C websites. Journal: Int. J. of Productivity and Quality Management Pages: 79-97 Issue: 1 Volume: 31 Year: 2020 Keywords: perception of structural assurances; consumer buying behaviour; consumer-to-consumer websites; e-commerce; electronic commerce. File-URL: http://www.inderscience.com/link.php?id=109359 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:79-97 Template-Type: ReDIF-Article 1.0 Author-Name: Mehdi Shojaei Author-X-Name-First: Mehdi Author-X-Name-Last: Shojaei Author-Name: Parisa Shojaei Author-X-Name-First: Parisa Author-X-Name-Last: Shojaei Title: The conceptual framework of kaizen influence on employee performance Abstract: Kaizen is a complex organisational phenomenon with potential ability to affect both a technical system (e.g., performance of work area) and a social system (for example, participating employees and work area employees). The aim of this study was determination conceptual framework of kaizen implementation effect on employee performance. We conducted two focus groups discussion and five individual interviews. Interviews and focus groups were conducted to determine the effect of kaizen implementation on employee performance. Data were analysed based on deductive-inductive content analysis approach and analysed with Open Code software. Participants' points of view were analysed within 201 codes. Data analysis matrix was the conceptual framework of dimension of kaizen and employee performance. In this conceptual 11 dimension of employee performance include: work quality, work quantity, cooperation, person, security, reliability, initiative, learning and personal development, attitude, judge and leadership. Five dimensions of kaizen include: suggestion system and partnership, work environment regulations, automation, technology and mutual cooperation and between management and staff. There is a need to combine kaizen practices with improvement and innovation practices that help staff and managers to address complex issues. Journal: Int. J. of Productivity and Quality Management Pages: 49-67 Issue: 1 Volume: 31 Year: 2020 Keywords: employee; performance; Pars Khodro Company's Brilliance Unit; kaizen. File-URL: http://www.inderscience.com/link.php?id=109360 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:1:p:49-67 Template-Type: ReDIF-Article 1.0 Author-Name: Elia Oey Author-X-Name-First: Elia Author-X-Name-Last: Oey Author-Name: Tiara Paramitha Author-X-Name-First: Tiara Author-X-Name-Last: Paramitha Author-Name: Novita Novita Author-X-Name-First: Novita Author-X-Name-Last: Novita Title: Integrating Kano customer satisfaction coefficient and SIPA grid for service quality improvement Abstract: Understanding what customer wants and how to action against them is crucial for service industry, since customers and their interaction are part of the product offering. The research was a case study of a water park in east suburb of greater Jakarta area, Indonesia. The objective of the study was to help the studied company to identify what service attributes relevant for the water park and which ones are important to be improved. The study categorised service attributes using Kano model in order to capture possible nonlinear relationship between importance and satisfaction. The result was then analysed using SIPA grids by benchmarking its performance against two competitors. The result showed that currently there are only some 'keep alert attributes' and no 'key improving attributes'. However, after performing sensitivity analysis by slicing the data based on key respondents' demographic profiles, the SIPA-Kano analysis revealed some insights for possible improvement and recommendations. Journal: Int. J. of Productivity and Quality Management Pages: 167-188 Issue: 2 Volume: 31 Year: 2020 Keywords: Kano CS coefficient grid; SIPA grid; water park; benchmarking; sensitivity analysis. File-URL: http://www.inderscience.com/link.php?id=110019 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:167-188 Template-Type: ReDIF-Article 1.0 Author-Name: Sasan Golnaraghi Author-X-Name-First: Sasan Author-X-Name-Last: Golnaraghi Author-Name: Osama Moselhi Author-X-Name-First: Osama Author-X-Name-Last: Moselhi Author-Name: Sabah Alkass Author-X-Name-First: Sabah Author-X-Name-Last: Alkass Author-Name: Zahra Zangenehmadar Author-X-Name-First: Zahra Author-X-Name-Last: Zangenehmadar Title: Modelling construction labour productivity using evolutionary polynomial regression Abstract: Construction projects are labour-intensive and labour costs are a substantial percentage of total budget. Impaired labour productivity causes an increase in construction project schedule. Labour productivity is one of the most frequently discussed topics in the construction industry, and modelling labour productivity by utilising different techniques has been getting more attention. It is a challenging task as it requires identifying the influencing factors as well as considering the associated interdependencies. This paper investigates the application of evolutionary polynomial regression (EPR) for modelling labour productivity in formwork installation. EPR is a data-driven hybrid modelling technique based on evolutionary computing and has been successfully applied to solving civil engineering problems. Results obtained from the EPR model were compared with the outcomes of three other methods: best subset, stepwise, and general regression neural network (GRNN). Results demonstrate the predictive superiority of the developed EPR model for nonlinear problems based on statistical performance indicators. Journal: Int. J. of Productivity and Quality Management Pages: 207-226 Issue: 2 Volume: 31 Year: 2020 Keywords: construction industry; labour productivity; loss of productivity; evolutionary polynomial regression; EPR; modelling; regression. File-URL: http://www.inderscience.com/link.php?id=110024 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:207-226 Template-Type: ReDIF-Article 1.0 Author-Name: Ha Thu Nguyen Author-X-Name-First: Ha Thu Author-X-Name-Last: Nguyen Title: An application of the Kano model and retail service quality scale to Vietnamese supermarkets Abstract: This paper presents the results of a study applying the Kano model for analysing, classifying, and prioritising customers' requirements in the context of Vietnamese retail service. A questionnaire based on the retail service quality scale and Kano question form has been designed and collected data from 598 customers of Vietnamese supermarkets. The data has been analysed by Kano model and presented on the four quadrants of X, Y scatter. Analysis results indicate that among the 27 retail service quality attributes, 11 attributes are classified as <i>must-be</i>; five attributes for <i>one-dimensional</i> and seven attributes for <i>attractive</i>. Findings not only provide insight into how Vietnamese supermarket managers would satisfy and delight their customer satisfaction, gain the advantage competitive, and differentiate with their competitors but also prove that Kano model could be well applied with RSQS in the context of retail service environment. Journal: Int. J. of Productivity and Quality Management Pages: 189-206 Issue: 2 Volume: 31 Year: 2020 Keywords: customer satisfaction; quality; service; Kano model; retail service quality scale; RSQS; Vietnamese supermarkets. File-URL: http://www.inderscience.com/link.php?id=110025 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:189-206 Template-Type: ReDIF-Article 1.0 Author-Name: Mark D. Hanna Author-X-Name-First: Mark D. Author-X-Name-Last: Hanna Author-Name: Dirk Pons Author-X-Name-First: Dirk Author-X-Name-Last: Pons Author-Name: Venkateswarlu Pulakanam Author-X-Name-First: Venkateswarlu Author-X-Name-Last: Pulakanam Title: What is the role of expert intuition in process control? Abstract: Rules of statistical process control (SPC) suggest that processes should not be adjusted by workers without an explicit data-driven management directive. By contrast, in many workplaces, workers are empowered to improve processes and seen as uniquely knowledgeable due to their experience in close proximity to the process. Thus, it absolutely is expected that operators will commit acts of personal agency as they apply their expert intuition. Based on observations of industry practice, we develop a description of expert intuitive process control (EIPC) and a conceptual framework which enables comparison of this approach to SPC and development of postulates regarding the contexts in which each approach is likely to be valued from a practical perspective. Journal: Int. J. of Productivity and Quality Management Pages: 227-243 Issue: 2 Volume: 31 Year: 2020 Keywords: statistical process control; SPC; personal agency; tacit knowledge; expert; intuition; expert intuitive process control; EIPC. File-URL: http://www.inderscience.com/link.php?id=110026 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:227-243 Template-Type: ReDIF-Article 1.0 Author-Name: K. Soundararajan Author-X-Name-First: K. Author-X-Name-Last: Soundararajan Author-Name: K. Janardhan Reddy Author-X-Name-First: K. Janardhan Author-X-Name-Last: Reddy Title: Productivity and quality improvement through DMAIC in SME Abstract: During the past three decades, researchers have been advocating the application of define-measure-analyse-improve-control (DMAIC) phases of Six Sigma concept to achieve productivity and quality improvement in small and medium enterprises (SMEs). In this context, the research reported in this paper was carried out in a SME by applying DMAIC phases in the production of the castings of a component called balance weight. While executing the DMAIC phases, it was found that green sand moulding process had to be replaced with shell moulding process to avoid the increase in hardness and rejection of castings due to pin hole defect. On implementing this solution, the productivity increased by 50.42 units per hour and the quality level increased from 3.2 sigma to 4.4 sigma. Altogether, it was found that DMAIC can be used in SMEs to achieve productivity and quality improvement so as to acquire competitive strength. Journal: Int. J. of Productivity and Quality Management Pages: 271-294 Issue: 2 Volume: 31 Year: 2020 Keywords: Six Sigma; define-measure-analyse-improve-control; DMAIC; small and medium enterprises; SME; productivity; quality; shell moulding. File-URL: http://www.inderscience.com/link.php?id=110027 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:271-294 Template-Type: ReDIF-Article 1.0 Author-Name: R. Jayachitra Author-X-Name-First: R. Author-X-Name-Last: Jayachitra Author-Name: S. Parthasarathy Author-X-Name-First: S. Author-X-Name-Last: Parthasarathy Title: A case study on productivity improvement in a display cases manufacturing industry Abstract: At the present stages of economic development, one of the main components of successful industrial organisation is productivity planning. Increase in productivity either reduces the production cost or increases the output. Productivity growth is becoming more important against a backdrop of market relations, because it allows the industry to stay competitive in the market and strengthen the social component in the development of society. The purpose of this work is to implement lean manufacturing concepts in display case manufacturing industry and to improve its productivity. At present, the industry is facing problem of low productivity due to increase in lead time of manufacturing display cases, wastage in the manufacturing process, under utilisation of workspace and under utilisation of human resources etc. Due to low productivity, the industry is unable to meet the demand. Hence, the objective is set to improve productivity of the industry to the possible extent. The objective is accomplished by implementing 5S, effective utilisation of workspace, effective utilisation of human resources, change in the plant layout and reducing the non productive time. Journal: Int. J. of Productivity and Quality Management Pages: 151-166 Issue: 2 Volume: 31 Year: 2020 Keywords: productivity; lean manufacturing; under utilisation; 5S; plant layout. File-URL: http://www.inderscience.com/link.php?id=110041 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:151-166 Template-Type: ReDIF-Article 1.0 Author-Name: Najm A. Najm Author-X-Name-First: Najm A. Author-X-Name-Last: Najm Author-Name: A.S.H. Yousif Author-X-Name-First: A.S.H. Author-X-Name-Last: Yousif Author-Name: Naser A. Aboyassin Author-X-Name-First: Naser A. Author-X-Name-Last: Aboyassin Author-Name: Mohammad S. Alhmeidiyeen Author-X-Name-First: Mohammad S. Author-X-Name-Last: Alhmeidiyeen Author-Name: Jumana Al Zoubi Author-X-Name-First: Jumana Al Author-X-Name-Last: Zoubi Title: The role of national culture in change management in Jordanian firms Abstract: This study seeks to expand the five dimensions of the Hofstede's model of national culture with a sixth dimension that is religiosity. This study was conducted in an Arab country that is Jordan. The researchers developed the questionnaire items related to the religiosity. This study aims to determine the impact of these six dimensions on two factors of change management: the change culture and outcomes (as two dependent variables). This study considered the change culture as a mediator variable affecting the relationship between the six dimensions of national culture and the outcomes of change. Results of the study revealed, through field primary data collected from the questionnaire, that all dimensions of national culture, with the exception of the collectivism, have a positive and significant impact on the change culture, while only three dimensions (uncertainty avoidance, long-term orientation, and religiosity) positively affect the change outcomes. Journal: Int. J. of Productivity and Quality Management Pages: 244-270 Issue: 2 Volume: 31 Year: 2020 Keywords: national culture dimensions; change management; culture and outcomes of change; religiosity. File-URL: http://www.inderscience.com/link.php?id=110044 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:2:p:244-270 Template-Type: ReDIF-Article 1.0 Author-Name: Daniel Ferreira Polónia Author-X-Name-First: Daniel Ferreira Author-X-Name-Last: Polónia Author-Name: Ana Alexandra Da Costa Dias Author-X-Name-First: Ana Alexandra Da Costa Author-X-Name-Last: Dias Author-Name: Rui Diogo Soares Dos Santos Author-X-Name-First: Rui Diogo Soares Dos Author-X-Name-Last: Santos Title: Patient satisfaction in hospital emergency services: a perspective from Portugal Abstract: This research paper constructs and validates a conceptual model that identifies the determinants of patient satisfaction with hospital emergency services. The conceptual model is based on an extensive review of the literature on the subject and was validated by 400 interviews in four Portuguese NHS hospital emergency services. Analysis of the data revealed that there are five statistically significant variables that influence satisfaction, whereas satisfaction itself influences the loyalty dimension of the model. Although the sample was diverse and a significant number of patients were interviewed, the study only involved NHS users from one specific region of the country. Nevertheless, it proved possible to use the model to draw several managerial implications and these were analysed for ways in which patient satisfaction with the service could be improved. Journal: Int. J. of Productivity and Quality Management Pages: 349-368 Issue: 3 Volume: 31 Year: 2020 Keywords: service quality management; hospital emergency services; patient satisfaction; patient loyalty; healthcare services; Portugal. File-URL: http://www.inderscience.com/link.php?id=110935 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:349-368 Template-Type: ReDIF-Article 1.0 Author-Name: Yannis Politis Author-X-Name-First: Yannis Author-X-Name-Last: Politis Author-Name: Evangelos Grigoroudis Author-X-Name-First: Evangelos Author-X-Name-Last: Grigoroudis Title: Defining the weights of the EFQM excellence model criteria for different business sectors - a multicriteria approach Abstract: EFQM model is Europe's most prestigious award for organisational business excellence given to the best performing organisations in Europe. The aim of this paper is to propose a multicriteria approach to assess the weights of the model's criteria based on the specific needs of different business sectors. For this reason a two stage process is proposed. In the first stage, criteria weights are assessed according to the rankings of a set of organisations with different scores on the EFQM excellence model criteria given by business experts from specific sectors or and participants of the quality award. The second stage concerns modifications and additional information or restrictions given by EFQM experts in order to improve the robustness of the preference model estimated from the previous stage. Considering that little can be found in literature concerning a general methodology for the construction of sector specific models, the paper proposes a general approach to adjust the weights of the EFQM model criteria to better fit the specific needs of different business sectors. Journal: Int. J. of Productivity and Quality Management Pages: 295-318 Issue: 3 Volume: 31 Year: 2020 Keywords: European Foundation for Quality Management model; EFQM model; multiple criteria decision aid; MCDA; UTA method; group decision making; criteria weights; quality awards; business excellence. File-URL: http://www.inderscience.com/link.php?id=110936 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:295-318 Template-Type: ReDIF-Article 1.0 Author-Name: Mira Thoumy Author-X-Name-First: Mira Author-X-Name-Last: Thoumy Author-Name: Marie-Hélène Jobin Author-X-Name-First: Marie-Hélène Author-X-Name-Last: Jobin Title: Interactions dynamics between the performance management system and the quality management system Abstract: The purpose of this study is to characterise the dynamics between the performance management system (PMS) and the quality management system (QMS). We conducted a comparative case study between two university medical centres. We interviewed 41 participants from eight sub-units of analysis. We also conducted seven hours of meeting observations, 16 hours of management observations as well as a review of 46 documents that were submitted to us by the workers. Our results show that there are four types of possible interactions between the PMS and the QMS which are independence, antagonism, communication and collaboration. Moreover, there are three realms of interactions being the realms of structure, identities and practices. We found that the PMS and the QMS interact more in clinical units. The support services do not have well-developed performance and quality management. Also, the workers involved in operations are disconnected from the concept of performance. Journal: Int. J. of Productivity and Quality Management Pages: 412-433 Issue: 3 Volume: 31 Year: 2020 Keywords: performance management system; PMS; quality management system; QMS; interactions; dynamics; hospitals; university medical centre; UMC; quality; performance; communication; collaboration. File-URL: http://www.inderscience.com/link.php?id=110939 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:412-433 Template-Type: ReDIF-Article 1.0 Author-Name: Gun Jea Yu Author-X-Name-First: Gun Jea Author-X-Name-Last: Yu Author-Name: Hojin Jung Author-X-Name-First: Hojin Author-X-Name-Last: Jung Author-Name: Kyoung-Min Kwon Author-X-Name-First: Kyoung-Min Author-X-Name-Last: Kwon Title: An internal cooperation as a driver of total quality management Abstract: Much evidence has been presented on the critical factors for total quality management (TQM) and its effect on firm performance. Studies aiming to understand TQM have examined the moderators on the relationship between TQM and firm performance. Among these moderators, cooperation among teams and departments has been highlighted but rarely empirically tested. Thus, the paper investigates the conditions under which the effect of TQM is intensified using a sample of 565 firms in Korea. We confirmed that TQM is positively associated with firm performance. In addition, the cooperative internal environment, including the levels of cross-functional team (CFT) and of collaboration between R%D and manufacturing departments (CRM), positively moderates the relationship between TQM and firm performance. This study contributes to the current literature on TQM by considering and testing the moderating effects of collaboration environments. Journal: Int. J. of Productivity and Quality Management Pages: 434-444 Issue: 3 Volume: 31 Year: 2020 Keywords: total quality management; TQM; cross-functional team; CFT; CRM. File-URL: http://www.inderscience.com/link.php?id=110940 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:434-444 Template-Type: ReDIF-Article 1.0 Author-Name: Rateb J. Sweis Author-X-Name-First: Rateb J. Author-X-Name-Last: Sweis Author-Name: Rawan Suleiman Author-X-Name-First: Rawan Author-X-Name-Last: Suleiman Author-Name: Niveen M. AlSayyed Author-X-Name-First: Niveen M. Author-X-Name-Last: AlSayyed Author-Name: Taghrid Suifan Author-X-Name-First: Taghrid Author-X-Name-Last: Suifan Title: The effect of total quality management practices on the performance of enterprise resource planning projects: the case of Jordan Abstract: This paper aims at studying the relationship between the total quality management practices and the performance of the Jordanian enterprise resource planning projects. In this research, nine factors were used to measure TQM practices. The questionnaires were distributed to 27 companies. Exploratory factor analysis method was used to analyse data. Results indicate that TQM practices have a significant positive effect on the ERP projects performance, with a significant value for process control and information technology. Improving the performance of ERP projects is essential as ERP sector in Jordan is considered as an important sector. Research efforts related to implementing TQM in such organisations to improve their performance are rare. The importance of this study is that it inspects the relationship between TQM practices and the performance of ERP projects in Jordan while there are no research papers studying the effect of TQM practices and ERP projects performance in Jordan. Journal: Int. J. of Productivity and Quality Management Pages: 319-348 Issue: 3 Volume: 31 Year: 2020 Keywords: total quality management; TQM; performance; enterprise resource planning projects; Jordan. File-URL: http://www.inderscience.com/link.php?id=110941 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:319-348 Template-Type: ReDIF-Article 1.0 Author-Name: Anil Chaudhary Author-X-Name-First: Anil Author-X-Name-Last: Chaudhary Author-Name: Ashish Kumar Singh Author-X-Name-First: Ashish Kumar Author-X-Name-Last: Singh Author-Name: M.L. Meena Author-X-Name-First: M.L. Author-X-Name-Last: Meena Title: Productivity improvement of an electrical appliance industry by implementing lean manufacturing tools and a low-cost intervention (a case study) Abstract: The focus of lean manufacturing tools is the cost reduction by eliminating non-value added activities (waste, i.e., <i>Muda</i>), thus, enables continuous improvement. The purpose of this paper is to address the importance of value stream mapping (VSM) in a lean manufacturing environment in an Indian electrical appliance industry. This research aims to highlight how lean tools can be utilised to reduce the bottleneck, meet customer demand and increase productivity. A current state mapping study was conducted to find the areas of improvement. Several lean tools were implemented to determine the production pace. The study reveals that the wiring and connection workstation had maximum bottleneck value; hence, the customer demand was not met. Furthermore, wireless connection as an intervention was introduced in the production process to reduce the bottleneck in the cycle time. The improvement can be visualised through future state VSM. Lean tools along with some small interventions could play a significant role in improving the productivity of the company. Journal: Int. J. of Productivity and Quality Management Pages: 390-411 Issue: 3 Volume: 31 Year: 2020 Keywords: lean manufacturing; value stream mapping; VSM; takt time; bottleneck process; productivity. File-URL: http://www.inderscience.com/link.php?id=110942 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:390-411 Template-Type: ReDIF-Article 1.0 Author-Name: Anand Sasikumar Author-X-Name-First: Anand Author-X-Name-Last: Sasikumar Author-Name: Padmanav Acharya Author-X-Name-First: Padmanav Author-X-Name-Last: Acharya Title: An operational approach to gauge the lean performance in bias tyre manufacturing: a case study Abstract: Tyre manufacturing firms are facing a host of challenges such as global competition, pricing strategies and complex production process. Due to the complexity of tyre manufacturing process, it is prone to waste which result in non-value added activities across the entire value stream. The study is undertaken in a bias tyre manufacturing firm which is based in the South India. The top management of the case firm is concerned about the increasing non-value added activities. The aim of the study is to devise a template to measure the leanness index of the bias tyre manufacturing firm. The proposed leanness template incorporates the eight types of wastes defined in lean manufacturing paradigm viz. overproduction, unnecessary inventory, waiting, transportation, processing, unnecessary motion, defects and underutilisation of human resource. This will facilitate the people at the operational level to take appropriate decisions. The results of the study indicate that the HR underutilisation and motion are most detrimental wastes in bias tyre manufacturing, which is due to the high rate of absenteeism among workers in all the three shifts. Journal: Int. J. of Productivity and Quality Management Pages: 369-389 Issue: 3 Volume: 31 Year: 2020 Keywords: lean manufacturing; bias tyre manufacturing; wastes; lean index; case study; South India. File-URL: http://www.inderscience.com/link.php?id=110943 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:3:p:369-389 Template-Type: ReDIF-Article 1.0 Author-Name: Koh Chin Kok Author-X-Name-First: Koh Chin Author-X-Name-Last: Kok Author-Name: Chin Jeng Feng Author-X-Name-First: Chin Jeng Author-X-Name-Last: Feng Author-Name: Shahrul Kamaruddin Author-X-Name-First: Shahrul Author-X-Name-Last: Kamaruddin Title: Short-run univariate quality control approaches Abstract: Short-run control charts are used in situations where limited or no data exist about the process, and conventional statistical process control (SPC) charts are considered ineffective for estimating parameters, such as control limits, because they cannot be established in most cases. This study presents a contemporary review on developing various short-run univariate quality control approaches. Considerable literature is systematically collected on the basis of content analysis. Techniques are differentiated on the basis of repetitive and non-repetitive processes. Subsequently, the principles, data sample collection, performance criteria, robustness and applications of quality control approaches are reviewed. Journal: Int. J. of Productivity and Quality Management Pages: 483-507 Issue: 4 Volume: 31 Year: 2020 Keywords: statistical process control; SPC; short-run; univariate; control chart. File-URL: http://www.inderscience.com/link.php?id=111672 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:483-507 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaohua Meng Author-X-Name-First: Xiaohua Author-X-Name-Last: Meng Author-Name: Yunli Zhu Author-X-Name-First: Yunli Author-X-Name-Last: Zhu Author-Name: Meiling Zhong Author-X-Name-First: Meiling Author-X-Name-Last: Zhong Title: Ripple effect of moral hazard: how does CSR misconduct impact firm performance in the dairy industry? Abstract: In this article we study how collective corporate social responsibility (CSR) misconduct affects the market performance of enterprises in the dairy industry. We do this by revisiting the melamine-tainted milk powder event in China. By comparing pre- and post-event retail data of three different types of infant milk powder manufacturers, as well as by analysing the cumulative abnormal returns (CARs) of those milk powder companies listed on stock markets, based on an event study approach, the ripple effect of China's melamine incident as an exogenous shock was investigated. The results show that industrial CSR misconduct has a suppression effect on the enterprises involved, overlapping suppression and spillover effects on domestic enterprises that were not involved, as well as spillover effects for foreign peers. Lessons from the melamine contamination incident and its policy implications should be valuable in promoting the CSR level and sustainability of other similar fast-growing industries in developing countries. Journal: Int. J. of Productivity and Quality Management Pages: 527-546 Issue: 4 Volume: 31 Year: 2020 Keywords: corporate social responsibility; CSR; food safety; ripple effect; industrial sustainability; melamine incident. File-URL: http://www.inderscience.com/link.php?id=111673 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:527-546 Template-Type: ReDIF-Article 1.0 Author-Name: Ayman Bahjat Abdallah Author-X-Name-First: Ayman Bahjat Author-X-Name-Last: Abdallah Author-Name: Haya Fawzi Ayoub Author-X-Name-First: Haya Fawzi Author-X-Name-Last: Ayoub Title: Information technology drivers of supply chain agility: implications for market performance Abstract: The purpose of this study is to identify information technology (IT) drivers of supply chain agility (SCA) and examine their effects on the implementation levels of agile supply chains (SCs). It also explores the effect of SCA on market performance (MP). The study analyses survey data collected from 274 manufacturing companies from different industry types in Jordan. These types included machinery and hardware, electrical and electronics, rubber and plastic, chemical, food, textiles and others. Validity and reliability analyses were performed using IBM SPSS Statistics and Amos, and the research hypotheses were tested using structural equation modelling (SEM). The results reveal that all IT drivers, namely, enterprise resource planning (ERP), radio frequency identification (RFID), cloud computing (CC) and Web 2.0 positively and significantly affect SCA. In addition, SCA proves to be positively and significantly related to MP. Journal: Int. J. of Productivity and Quality Management Pages: 547-573 Issue: 4 Volume: 31 Year: 2020 Keywords: supply chain agility; SCA; enterprise resource planning; ERP; radio frequency identification; RFID; cloud computing; Web 2.0; market performance. File-URL: http://www.inderscience.com/link.php?id=111674 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:547-573 Template-Type: ReDIF-Article 1.0 Author-Name: P.G. Saleeshya Author-X-Name-First: P.G. Author-X-Name-Last: Saleeshya Author-Name: R. Nithesh Author-X-Name-First: R. Author-X-Name-Last: Nithesh Author-Name: K. Sanesh Author-X-Name-First: K. Author-X-Name-Last: Sanesh Author-Name: Sai Krishna S Author-X-Name-First: Sai Krishna Author-X-Name-Last: S Title: Firefly enabled agility assessment in manufacturing systems Abstract: The manufacturing processes have now evolved from dinosaur type of enterprise to lizard type known as agile manufacturing. Agility can be enhanced with some trivial change in firm's processes. In this study, an effort has been made to obtain the agility index of two different firms with their currently implemented agile enablers'. The two industries were identified based on the demand pattern, i.e., seasonal and volatile demand. The methodology of AHP is used to obtain effectiveness of the agile enablers'. These effectiveness values are given as input to the FA to obtain the agility index in terms of 'response time' between market and industry. Based on the results, the firms' can focus on the enabler with least response time to improve business performance through appropriate strategies. The response time of fashion firm is less than that of core-manufacturing firm. Hence fashion firms are more agile than core firms. Journal: Int. J. of Productivity and Quality Management Pages: 461-482 Issue: 4 Volume: 31 Year: 2020 Keywords: agile manufacturing; manufacturing systems; analytic hierarchy process; AHP; firefly algorithm; FA. File-URL: http://www.inderscience.com/link.php?id=111675 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:461-482 Template-Type: ReDIF-Article 1.0 Author-Name: Seyed Fathollah Amiri Aghdaie Author-X-Name-First: Seyed Fathollah Amiri Author-X-Name-Last: Aghdaie Author-Name: Hamidreza Talaie Author-X-Name-First: Hamidreza Author-X-Name-Last: Talaie Author-Name: Paria Soltanpour Author-X-Name-First: Paria Author-X-Name-Last: Soltanpour Title: Evaluating the influence of individuals' personality characteristics on the preference of choosing and buying goods with an emphasis on the moderating role of mental involvement Abstract: The present research evaluates the influence of individuals' personality characteristics on the preference of choosing and buying goods with an emphasis on the moderating role of mental involvement. The statistical population of this study is the customers of the Dillards chain store in Austin in the state of Texas in USA. Using the Schumacher and Lumax method, 256 people were selected as a statistical sample and a questionnaire was used to collect data. The collected data were analysed using SPSS and AMOS Software Version 24 with structural equation model. Based on the results, we can state that, among the personality characteristic of these customers, openness to experience, emotional stability, agreeableness and conscientiousness are the most effective ones to create mental involvement that indirectly lead to purchasing decision. Extraversion, agreeableness and conscientiousness also directly lead to consumer preferences. Journal: Int. J. of Productivity and Quality Management Pages: 574-592 Issue: 4 Volume: 31 Year: 2020 Keywords: individual's personality characteristic; mental involvement; preference in buying; purchase decision. File-URL: http://www.inderscience.com/link.php?id=111676 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:574-592 Template-Type: ReDIF-Article 1.0 Author-Name: Dipayan Datta Chaudhuri Author-X-Name-First: Dipayan Datta Author-X-Name-Last: Chaudhuri Author-Name: Aashish Yadav Author-X-Name-First: Aashish Author-X-Name-Last: Yadav Title: Productivity growth in Indian telecommunications equipment industry Abstract: This study has analysed whether the high growth rate in telecommunications service sector has a favourable impact on productivity growth rates of the telecommunications equipment industry in India. In this study, the total and partial factor productivity growth rates are measured for the telecommunications equipment industry during 1999-2016. The translog index is used to estimate the total factor productivity (TFP) growth rate of this industry in a five input KLEMS - framework. The period of study is divided into two sub-periods, i.e., 1999-2007 (sub-period I) and 2008-2016 (sub-period II). The annual growth rate of total factor productivity is estimated to be 3.56% in sub-period I and 2.22% in sub-period II. It has been observed that the growth rate of gross value added (GVA) has decelerated between two sub-periods as the industry has become more import-centric due to implementation of the information technology agreement. Journal: Int. J. of Productivity and Quality Management Pages: 508-526 Issue: 4 Volume: 31 Year: 2020 Keywords: India; telecommunications; trade liberalisation; information technology agreement; ITA; total factor productivity; TFP; partial factor productivity; growth accounting approach; GAA; translog index; productivity performance; KLEMS-framework. File-URL: http://www.inderscience.com/link.php?id=111685 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:508-526 Template-Type: ReDIF-Article 1.0 Author-Name: Manish Oraon Author-X-Name-First: Manish Author-X-Name-Last: Oraon Title: Statistical analysis to predict the surface roughness in single point incremental forming of Cu67Zn33 alloy Abstract: Single point incremental forming (SPIF) is an innovative manufacturing process in which shaping the metal sheet without using dedicated dies. Previously, the effect of input variables in SPIF of hard metal is not well defined. Commercially available Cu67Zn33 is taken for the experiment as it is demanded in every manufacturing sector due to its mechanical properties. The present study is an experimental investigation followed by statistical analysis for finding the significant input variables which profoundly affect the surface roughness. The statistical analysis indicated that the step depth is the prominence one and other significant input parameters are feed rate of the tool, wall angle, and thickness of sheet whose contribution for surface roughness are 3.2%, 5.1%, and 4.98% respectively. The minimum and maximum average roughness is measured as 134.863 nm and 376.836 nm. The spalling of metal is observed at the high feed rate and spindle speed. Journal: Int. J. of Productivity and Quality Management Pages: 593-604 Issue: 4 Volume: 31 Year: 2020 Keywords: single point incremental forming; SPIF; surface roughness; process parameters; ANOVA. File-URL: http://www.inderscience.com/link.php?id=111697 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:593-604 Template-Type: ReDIF-Article 1.0 Author-Name: N.S. Subawa Author-X-Name-First: N.S. Author-X-Name-Last: Subawa Author-Name: N.W. Widhiasthini Author-X-Name-First: N.W. Author-X-Name-Last: Widhiasthini Author-Name: N.P.I. Permatasari Author-X-Name-First: N.P.I. Author-X-Name-Last: Permatasari Title: Local brand franchise competition in the disruption era Abstract: Local brand franchise business, particularly culinary, has been rapidly developed in this disruption era. This is in line with the society's need for delicious but affordable culinary. There is a comprehensive relation-blend of cultural, business, and lifestyle responses. This research examined the factors affecting local brand franchises in the business competition in the disruption era. Using a descriptive qualitative method, the results indicated that local brand franchises are a part of economic disruption, because they create an entirely new market, providing high-quality products at lower prices. In this disruption era, local brand franchises are limited by binding agreements on franchising, courage in creativity and innovation, responsive to instant culture, adaptive to changes in consumer lifestyle, multi-level hegemony, and capitalism. Journal: Int. J. of Productivity and Quality Management Pages: 445-460 Issue: 4 Volume: 31 Year: 2020 Keywords: disruption; culinary business; franchise; local brands. File-URL: http://www.inderscience.com/link.php?id=111700 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:445-460