International Journal of Productivity and Quality Management (61 papers in press)
Prioritizing Post Sales Service Quality Items in Light Commercial Vehicles using TOPSIS Method
by Santosh Kumar Yadav
Abstract: Post sales service quality is the most essential viewpoint to measure customer satisfaction in light commercial vehicles. A post sales service is required after the sales of a vehicle. Customer satisfaction checks whether after getting services, customers feel happy or not. This research paper attempts to identify post sales service quality items that lead to customer satisfaction or dissatisfaction. A Questionnaire was developed about post sales service quality in which the customer was asked to rate the importance of these items. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was applied to rank the post sales service quality items based on their importance in light commercial vehicles. From the results, it is found that the having a consistent standard for accepting and returning vehicles for service and promptness of service were the two most important post sales service quality items. The accessibility to the service station and the availability of advanced facilities in the service station were also found to be of significant importance. Service station managers may give these items priority in order to increase post sales service quality.
Keywords: Post Sales Service Quality; Light Commercial Vehicle; TOPSIS.
A Study of Correlation for Reverse Logistics Barriers to Solutions Using Structural Equation Modeling
by Pornwasin Sirisawat, Tossapol Kiatcharoenpol
Abstract: Reverse logistics (RL) plays an important role in many industries especially in the electronics industry and helps sustainability businesses while also reducing environmental impacts from various business processes. The electronics industry is one of the most rapidly growth industries in Thailand. It plays an important role in the countrys economy. Many companies adopted RL for their business process but still enforce some barriers that make it unsuccessful. Therefore, this study aims to investigate the relationship of RL barriers and solutions then examines the relationship between these factors. A conceptual model was developed by proposing four hypotheses in which structural equation modeling (SEM) was used to examine the proposed model. For data collection, 417 questionnaires were distributed to Thai electronics companies from which 67 questionnaires were included in the final sample with a 16.07 % response rate. The main results of this study presented that there are statistics significant of the proposed hypothesis which can be explained such that RL barriers have a directly negative relationship with overall solutions for reverse logistics practices. And RL barriers have also indirect negative relationships to the group of management & organization solutions, the group of technology and collaboration solutions and the group of legal and infrastructural solutions. In conclusion, the proposed model could fit with the empirical data by using SEM. The proposed results could reconfirm that there are statistics significant of the relationship between RL barriers and solutions of RL practices implementation in Thailand electronics industry. Hence, the results of the proposed model provide valuable information for decision makers and top management to create policy and strategy by choosing an appropriate solution to overcome RL barriers implementation and increase competitive strength of their companies. Furthermore, it could be a guideline for additional by both researchers and practitioners in the electronics industry and other related industries.
Keywords: structural equation modeling; correlation; reverse logistics; electronics industry.
Evaluation of HealthCare Service Quality Management in an Iranian Hospital by using Fuzzy Logi
by Farzad Firouzi Jahantigh
Abstract: Service quality Management is a requirement for survival and development of organizations inrntoday's competitive environment. Good service quality can lead to customer satisfaction andrnloyalty which any organization needs to be successful. Measuring service quality is complicatedrnand developing suitable instruments for this purpose is essential for active healthcare planners.rnThus, the present study is aimed to introduce a framework to determine the service quality gaprnbetween expectations and perceptions of customers in healthcare, using Fuzzy logic ThernWilcoxon Mann-Whitney fuzzy test was utilized to measure the main outcome of the studyrnwhich was the service quality gap between expectations and perceptions of customers inrnhealthcare. This gap was measured with the SERVQUAL instrument. Considering the aboverncases, it is necessary to provide a simple model based on fuzzy logic for dealing withrnuncertainties. It is important to note that studies conducted in foreign and domestic articlesrnhavent focused on assessing the quality of medical care services with a fuzzy approach. In thisrnregard, according to the research objectives, the hypotheses of the study were tested .In thisrnstudy, fuzzy linguistic analysis is introduced into the gap theory and SERVQUAL assessmentsrnthat makes possible more internal consistency and shown Wilcoxon test hypotheses that only inrnthe tangible dimension, the hospital was able to meet patients 'expectations and their officialsrnshould put much more effort to improve service quality in other dimensions such as empathy,rnresponsiveness, security and safety .The proposed framework enables hospital managers tornunderstand how patients evaluate the quality of healthcare provided in respect of everyrndimension. Utilizing this framework, the hospitals can discover the crucial service qualityrnattributes and make a value to improve or enhance.rn
Keywords: Healthcare system; Fuzzy logic; Evaluation; Quality Management of health care.
Evaluating the Factors Considered for Procurement of Raw Material in Food Supply Chain using Delphi-AHP Methodology- A Case Study of Potato Chips Processing Company in India
by Sachin Kamble, Rakesh Raut
Abstract: Procurement of raw material plays a very critical role in a supply chain. In the era where, the organizations are searching for cost saving innovative ideas due to the increasing cost pressures procurement function provides an opportunity to these organizations to remain competitive. Procurement of raw materials in a food supply chain has to face the problems like shortage of raw material, quality, lack of continuous supply of seasonal raw material, inadequate trained labor force, costly imported packing material, infrastructure and technological deficiencies. This demands that the food industry need to manage the risk/cost trade-off without disregarding freshness, sustainability and corporate social responsibility issues. This paper presents a case study of a food processing plant in India manufacturing potato chips, with potato as the main raw material. The objective of this paper is to identify and evaluate the important criteria that are considered while procuring the raw material in a food supply chain. Delphi technique and Analytical Hierarchical Process (AHP) were used for exploring and ranking the criteria. Quality of the raw material, supplying capacity of the supplier-quantity and price were identified as the most important purchasing criteria.
Keywords: Procurement of raw material; Analytical Hierarchical Process; Supplier; Supply Chain Management; Delphi Technique.
Reducing Variation in Tensile Impact Testing of Plastics
by Hari Prasad, Narayana Rao, Prasanta Prasanta Mukhopadhyay
Abstract: Polymeric materials are characterised using various analytical techniques, the interest in this work emanates from mechanical testing, more specifically tensile impact studies. Tensile impact properties has been a critical factor in evaluating polymeric material brittleness or ductility changes (ASTM D1822/ ISO 8256). High variation of this test leads to difficulty in formulation optimization efforts during material development targeted for applications demanding mechanical designs and integrity. The objective of this study is to understand the different factors affecting the variation in the test results. A systematic statistical analysis to increase robustness of the testing instrument design was undertaken. This study of multiple samples showed that specimen alignment issue in the test fixture was a major source of error. Modification to the test fixture were carried out to address this issue. Statistical treatment to the data was done using a variety of analysis methods, namely, defect per million opportunities (DPMO), Z-score around process capability, homogeneity of variance (HOV), 2-sample T-test. HOV analysis indicated that the spread was significantly reduced and 2-sample t test indicated that the sample mean was not shifted post machine modification. Product benchmark report estimated process capability increase in the Z value from 0.843 to 2.192, post-instrument modification. This was reflected as improved sigma capability of the process, with reduction in DPMO from 7,44,444 to 2,44,444 (67% improvement in process capability).
Keywords: Variation,Statistical Process Control (SPC); Risk Priority Number (RPN); Failure Mode Effective Analysis (FMEA); Standard deviation; Homogeneity of Variance etc.
Overall equipment effectiveness (OEE) measurement of TPM manager model machines in flexible manufacturing environment: A case study of automobile sector
by Richa Sharma
Abstract: Total productive maintenance (TPM) has provided a quantitative metric tool which is known as overall equipment effectiveness (OEE). OEE provides an efficient and effective way of measuring and analyzing the efficiency of a single machine cell or an integrated manufacturing system. The objective of this paper is to highlight the OEE measurement in flexible manufacturing system of selected automobile manufacturing plant by enhancing the equipment and plant reliability by eliminating all the losses incurred. In this study, a methodology is presented for analysis of OEE of TPM manager model machines in a selected semi-automated cell. In this paper, an approach is developed to identify and address the losses and failures which are responsible for lowering the OEE. The results have shown that there was a significant improvement in OEE measurement of TPM manager model machines in a semi-automated cell of selected automobile plant by addressing the six big losses. The findings of the research determine a significant contribution due to OEE measurement and assessment of losses and therefore were quite useful for the organization to initiate TPM improvement activities to enhance the overall plant efficiency.
Keywords: Overall equipment effectiveness (OEE); Total productive maintenance (TPM); six big losses; Efficiency; Availability; Autonomous maintenance; flexible manufacturing environment.
The effect of combining knowledge-based practices and healthcare policies on healthcare quality
by Milad Kolagar, Seyed Mohammad Hassan Hosseini
Abstract: Purpose: Nowadays, quality promotion of health care services has become one of the most important and challenging goals of health care systems all over the world. Health care quality, due to the specific characteristics of this field, always has a sensitivity and high priority. Accordingly, this research aimed to determine the effect of combining knowledge-based practices and health care policies on health care quality in three training hospitals of Tehran, Iran.
Design: In this study, a model has been proposed for health care quality improvement. In the proposed model, the relationship between knowledge-based practices, which contains knowledge and organizational learning, and health care policies, which contains patient safety culture and clinical governance, has been investigated and the interactions between these variables and their impact on the healthcare quality, have been examined.
Findings: The results and findings of the research have confirmed all of the hypotheses which means the t-value on each path is higher than 2.58 at a significance level of 0.01 in a bootstrapping process. This means that the proposed framework could help the healthcare organizations to promote their service quality in order to have healthier people, healthier families, healthier lifestyles and healthier world.
Originality: One of the most important factors affecting the orientation and implementation of health care policies in any country, is managing and controlling knowledge and learning of healthcare systems. Given the specificity of the model presented in this study and by using it, the effect of combining knowledge-based practices with health care policies on promotion and improvement of health care policies in Tehran hospitals is being investigated. The novelty of this research lies in the inclusion of knowledge-based practices (knowledge and organizational learning) while implemented on patient safety culture as a basis for the dominance of hospitals clinical governance in order to improve the quality of healthcare services.
Keywords: patient safety culture; knowledge ; organizational learning; clinical governance; healthcare quality.
Using System Dynamics to better understand quality management in the construction industry
by Anna Hulda Olafsdottir, Harald Sverdrup, Gunnar Stefansson, Helgi Ingason
Abstract: System dynamics was applied to evaluate the use of quality management in the construction industry. Results were reached with the following: 1) a background study, 2) group model building, 3) a case study of a construction project 4) a simulation model. The main objective of the study is to assist in minimizing the total quality cost for a construction project with the holistic approach system dynamics offer. The model offers a unique contribution to the possibility to be adapted to other projects. It can then be used to minimize cost with suggested dynamic policies. To the best of the authors knowledge, the current study is the first to offer a system dynamics approach to evaluate the cost of quality in a construction project. The results give a link to the literature with a comparison between simulation outputs and Jurans (1988) graphical representation of the total cost of quality.
Keywords: System Dynamics; Construction Industry; Case Study; Quality Management; Project Management.
Assessing the challenging factors towards green initiatives in Indian Electronic industries: A framework and evaluation
by Kaliyan Mathiyazhagan, Shivani Sehrawat, Bhumika Sharma, K. Elangovan
Abstract: Globally industries are under pressure to incorporate environmental consideration in traditional activities based on demand from customers and government regulations. But industries are facing a lot of problems in analyzing and identifying the influential challenging factors for adopting eco-friendly and green practices in traditional activities. This paper reviews the scenario of green supply chain management (GSCM) in India as well electronics industry perspective based on extensive literature review. Also, this study focuses on identifying the most influential challenging factors for adoption of green in traditional practices with the help of decision making trial and evaluation laboratory (DEMATEL) approach. A total of 35 challenging factors was identified based on literature and discussion with industry experts. Than considered 20 challenging factors for further analysis. This study involved 30 electronics SMEs in and around the Delhi - National Capital Region (NCR) of India and more than 15 academicians were also consulted.
Keywords: Green initiatives; GSCM; Electronics industries; Challenging factors; DEMATEL.
Selection of material for Electric Arc Spraying using hierarchical Entropy-TOPSIS approach
by Rakesh Kumar Phanden, Rahul Sindhwani, Faizan Iqbal, Vivek Kalsariya
Abstract: Electric Arc Spray (EAS) is a process used to solidify the molten metal on the substrate surface. The desired material is first melted due to current and voltage applied to the ends of two electrically conductive metal wires and then propelled on the desired surface. The present work suggests possible material alternatives that could enhance the properties of the EAS process. Entropy approach is used to give the weightage to the factors on which materials will be prioritized. TOPSIS method is applied to determine the ranking of each of the material which could happen to be a best feasible alternative. It is found that Tin, Zirconium and Titanium are top ranked best feasible metals while as Cadmium and Calcium are the least priority. Thus, the results yield a platform to choose the best possible material as an alternative. The future scope of the work lies in the fact that an ideal solution as an alternative would help in increasing the quality of the capacitors besides saving the cost. The motive of every manufacturer is to achieve the right quality at the right price which is met by using these alternate materials during manufacturing.
Keywords: Electric Arc Spray; Entropy method; TOPSIS method; alternative material.
Measuring productivity in multi-stage, multi-product environment
by Shlomo Globerson, Gad Vitner
Abstract: Productivity is defined as the ratio of output to the resources required to produce it. The objective of this study is to present a model aimed at measuring the productivity of producing different products, each consisting of a few work stations, in a service and manufacturing environment. Since organizational profit, or other financial indicators used for evaluating organizational success, cannot be measured at the time of the operation, the presented model can be used as a fast and valid indicator of expected future profit. Calculating productivity requires measuring both output and resources. This study focuses on the measurement of the outputs and offers methodologies to quantify the following two concepts: 1.Calculating total output for each product, taking into consideration the value of items in process by summing up partial items into an equivalent number of complete items. 2.Developing a method to sum up the outputs of various products by assigning the relative weight of each product, according to the level of usage of the most intensively used resource.
Keywords: productivity; performance management; multi-stage; multi-product.
Cost and benefit analysis of Implementing TFMEA in Tea Industry: A Case Study
by Angeline Geetha.M, Suresh Premil Kumar.R, S.R. Devadasan, A. Pal Pandi
Abstract: Tea is an aromatic drink commonly consumed by the people worldwide. Tea manufacturers face a serious threat in controlling the failures in its manufacturing process. Failures in the manufacturing process affect the quality of the tea produced. The cost of the tea varies with the quality of the tea. The tea manufacturers are more concerned about the internal failure cost incurred in its manufacturing process as it determines the cost and quality of the tea. In this background a new approach namely Cost based Total Failure Mode and Effect Analysis (CTFMEA) was applied in the research reported in this paper. In this research, a maiden attempt is made to implement this new approach by conducting a case study in tea manufacturing company. After implementing TFMEA technique its cost benefit analysis was conducted. The outcome of this research indicated that through the application of CTFMEA, the quality of the tea could be improved by reducing the failures thereby assuring cost benefits to the tea manufacturers.
Keywords: Tea manufacturing; Internal failure cost; Continuous quality improvement; TQM; FTA; FMEA; CTFMEA; Cost benefits.
A NOVEL APPROACH FOR FAILURE MODE AND EFFECT ANALYSIS IN PROPELLER SHAFT MANUFACTURING INDUSTRY USING FUZZY ANALYTIC HIERARCHY PROCESS AND GRA VIKOR
by Gnanasekaran Sakthivel, Bernard W. Ikua
Abstract: The present study develops the evaluation model based on FMEA and analytical hierarchy process (AHP) integrated with GRA (Gray Relational Analysis) - VIKOR (Vlse Kriterijumska Optimizacija I Kompromisno Resenje) under fuzzy environment to evaluate the greatest risk for processes in the production of dust cap assembly in the propeller shaft manufacturing industry. Three risk factors S, O, D and their weights are treated as fuzzy triangular linguistic variables to eliminate the risk for production. FAHP is used to compute the weights of Severity (S), Occurrence (O) and Detection (D), whereas GRA-VIKOR is used to obtain the final ranking of a risk alternative. Here, the risk factors and their weights are treated as fuzzy triangular linguistic variables for eliminating the risk of subjective quantification and similarity of Risk Priority Number (RPN). The ranking of the failures depends upon the VIKOR index of nine failures. The ranking order of nine failure modes based on VIKOR index is F2 (Drawing dimension failure)-0.210 < F1(Blanking of blank failure)-0.5< F4(Window cutting failure)-0.504 < F7(Packing- short excess quantity)-0.786 < F6(Final Inspection of dimension failure )-0.795 < F8(Packing -damage in pack)-0.822 < F3(Hole size failure)-0.965 < F9(Dispatch failure)-0.97< F5(Plating failure)-1. Drawing dimension failure (F2) and Blanking of blank failure (F1) is obtained as the most serious failure mode using Fuzzy GRA VIKOR.
Keywords: Risk assessment; FMEA; FAHP; GRA VIKOR.
SYSTEMATIC LITERATURE REVIEW OF ISO 9001 AND PROCESS MANAGEMENT
by Leonardo Sfreddo, Guilherme B.B. Vieira, Gabriel Vidor, Roque Zin
Abstract: This paper presents a systematic literature review of ISO 9001 and process management from 1990 to 2015. In order to investigate the studies published in English on these topics, the keywords ISO 9001 and process management were searched in Science Direct database. These terms should be mentioned in papers title, abstract or keywords as an inclusion criterion. Studies which were redundant due to search criterion or which were published in a language other than English were excluded. Three rounds of analysis were conducted, including quantitative analysis of search results, bibliometric analyses, qualitative analysis, and in-depth reading of the selected studies. By carrying out the review, it was possible to identify an opportunity to deepen the studies that correlate ISO 9001 and process management, which is justified by the small number of papers published with this specific approach. In addition, the papers which were analyzed in this systematic review did not address some important aspects in the relationship between ISO 9001 and process management, such as evidence of improved operational efficiency of processes, and cultural changes noticed in organizations after the implementation of ISO 9001.
Keywords: ISO 9001; Process Management; systematic literature review.
The relationship between human resource management practices and manufacturing flexibility: Empirical evidence from manufacturing companies in Vietnam
by Ngoc Anh Nguyen, Dinh Phuong Trieu, Chi Anh Phan, Yoshiki MATSUI
Abstract: Manufacturing flexibility has been widely considered as an aid to greater productivity, meanwhile, multi-functional employees has been viewed as a great potential source of productivity improvement by avoiding bottlenecks. This study aims to investigate the relationship between human resource management practices and manufacturing flexibility in Vietnamese manufacturing companies. Data were collected from 25 Vietnamese companies belonging to three industries: electronics/electrical, machinery and automobile in 2014. Correlation and regression analyses are applied to explore the relationships among research variables. The results indicate not only a significant linkage between multi-functional employees and manufacturing flexibility but also a positive relationship between management breadth of experience, task-related training for employees and multi-functional employees. The paper enriches the literature of manufacturing flexibility by providing empirical evidence from developing countries, and by providing insights into how Vietnamese manufacturers use internal resources, i.e. human resources, to achieve a higher level of manufacturing flexibility.
Keywords: manufacturing flexibility; human resource management; competitive performance; empirical study; Vietnamese manufacturing companies.
Association of interacting Quality Initiatives and Quality Awards with performance; the effect of context
by GURURAJ UPADHYAYA, Subrahmanya Bhat. K
Abstract: Even though Quality Initiatives (QI) and Quality Award (QA) models have found a significant place in continuous improvement (CI) journey of organizations, a great concern has been shown in the recent past on their indifferent performance implications, given the resources that they consume. This paper discusses the effect of contextual attributes such as size, type and sector of organization on the correlation between interacting QI/ QA models and performance during different time spans of CI journey. The results of the study show that such a correlation existed between some performance measures (PM) and interacting QI/QA models only in case of large scale and public sector Indian organizations during the time spans before winning the QA.
Keywords: Quality Initiatives; Quality Awards; Mutual Influence; Correlation; Performance.
Using fuzzy-based association rule mining to improve production systems for chemical product development
by C.K.H. Lee, C.C. Luk, K.L. Choy, H.Y. Lam, C.K.M. Lee, Y.P. Tsang, G.T.S. Ho
Abstract: In chemical product development, challenges lie in the determination of appropriate ingredients and parameter settings that leads to the desired product attributes. This relies heavily on the past knowledge and experience of the domain experts to generate feasible product candidates for verification. In this paper, a fuzzy-based association rule mining model (FbARM) is developed to provide knowledge support for the determination of the parameters to be used during chemical product development. Fuzzy-based association rule mining is applied to discover the relationship between parameters and the product quality, followed by the use of fuzzy logic to generate recommendations on parameter settings. The feasibility of the FbARM is verified by means of a case study in a personal care products manufacturing company. The results demonstrate the practical viability of the FbARM to improve chemical product development. The FbARM can discover hidden relationships between the parameters and the resultant product quality, and retain relevant knowledge for chemical product development within the company. In addition, the learning ability of the FbARM allows a continuous improvement of the fuzzy rules, which is of paramount importance in responding to the changing requirements of the chemical industry.
Keywords: Knowledge management; Product development; Chemical products; Fuzzy association rule mining; Fuzzy logic.
Analyzing the Performance of Lean Manufacturing Implementation with Chronological Execution of Lean Elements using Spread Sheet features: A Case Study
by Sundar R, A.N. Balaji, Satheeshkumar R.M
Abstract: Globalization influences the manufacturing sector to practice the best manufacturing system to sustain in competing business environment. The outcome of this article elucidate the effect of transition from traditional manufacturing practice to lean manufacturing system in a paint brush company located in South India. The existing practice utilizes push system where the large batches of raw material are routed from one operation to another along a production line. In this case study, a lean manufacturing system along with sequential implementation of lean elements such as Value stream mapping, Group technology, Cellular manufacturing, U-line manufacturing, etc., is premeditated for reducing the cycle time to relax the Takt Time and stabilizing the production process. The implemented lean manufacturing system increases the productivity, reduces work-in-process and lead time. The performance measure of lean system such as bottleneck cycle time, production capacity, lead time and work-in-process inventory are evaluated by instant part transfer rate through spread sheet model.
Keywords: Value stream mapping; Group technology; Cellular manufacturing; U-line manufacturing; Push system; Pull system.
Study of 5S Lean Technique: - A Review Paper
by Bhavesh Chandrayan, Ankit Kumar Solanki, Richa Sharma
Abstract: 5S is a housekeeping technique used by various organization derived from Five Japanese words Seiri (Sort), Seiton (Set in Order), Seiso (Shine), (Seiketsu (Standardize) and Shitsuke (Sustain). This technique improves efficiency, productivity and quality by making the workplace orderly, pleasant and organized. The objective of the paper is to examine the 5S implementation process across all the different manufacturing scenarios and to emphasize the significant positive results of 5S. The paper is based on systematic literature review that monitors the 5S implementation technique in various organizations and categorizes the published literature in three distinguished categories based on conciseness and systematic approach to analyse and review the methodology. The paper reviews preponderance of the findings by numerous researchers and highlights the suggestions and improvisations for ensuring efficient and effective 5S implementation in any organization. The results exhibit the effectiveness of the 5S tool to improve the performance and to uplift the organization to achieve continuous improvement and higher performance.
Keywords: 5S; Productivity; Lean Manufacturing; Housekeeping; Waste Elimination; Literature Review; Japanese Tool; Productivity; Quality Management.
Developing a Model for Classifying Employee Behavior based on Job Satisfaction and Loyalty Using Gap Analysis and Loyalty Matrix - With a Case Study in the Gas Industry
by Afshin Jahanbazi Goujani, Arash Shahin, Ali Nasr Isfahani, Ali Safari
Abstract: The main aim of this study is to identify the dimensions of employee job satisfaction and loyalty and to classify employees based on these two factors using the concepts and approaches of customer satisfaction and loyalty. For this purpose, a mixed research method has been conducted by which, the senior managers of Isfahan Province Gas Company have been interviewed and a thematic analysis has been performed. A questionnaire has been developed and used for data collection. Quantitative analysis has been done and research hypotheses have been tested using SPSS 21 software. Findings imply that the gap between expectations and perceptions regarding job satisfaction dimensions is significant and the level of job satisfaction is lower than the average. Moreover, given the high level of employee loyalty, it is determined that most of the employees are classified in the hostage category.
Keywords: Job satisfaction; Employee loyalty; Gap analysis; Loyalty matrix; Isfahan Province Gas Company.
REPLICATION OF A SIX SIGMA BLACK BELT CASE STUDY: GEP BOXS PAPER HELICOPTER EXPERIMENT IN A DRONE LOGISTICS SCENARIO
by Sean Goffnett
Abstract: Unmanned aerial vehicles (drones) have gained attention in business in recent years. Drones have demonstrated potential use in logistics operations, such as surveillance, inventory counting, order picking, and last-mile delivery. Given the proliferation in potential uses of drones, it is no surprise companies are testing drone capabilities. This article presents a theoretical business case describing the Six Sigma DMAIC model applied in a logistics context involving drone capacity and reliability. Define, Measure, Analyse, Improve and Control are presented. This article builds on earlier studies on structuring Six Sigma projects. This service-related business case can be used for training and education purposes.
Keywords: Distribution; Drone; DMAIC; DOE; e-commerce; FMEA; fulfillment; gage R & R; logistics; repeatability; reproducibility; Six Sigma; unmanned aerial vehicle; warehousing.
Evaluation of forming parameters affecting the grooving process for automotive connecting rod: an experimental and statistical approach
by Harshal Chavan, Vijay Wani
Abstract: Forming industries are trying to reduce the cost of product without affecting its quality by minimizing the defects to get-up the globalization, competition and increase demand in the manufacturing domain. Present investigation is focused on identifying and minimising the various defects occur in the grooving operation for connecting rod used to connect recliners of automobile seat. The cumulative approach of Pareto, AHP and Taguchi analysis has been applied to overcome the defects and to improve the productivity. Pareto analysis is used to find out the major intensity of defects, AHP techniques is applied for selection of most appropriate operational parameters. Finally, Taguchi analysis is carried out for optimisation of process parameters and selection of the best range of each parameter. From ANOVA the optimised value of each process parameter for minimization of defects are evaluated and validated by conducting experiments in the industrial unit and found huge reduction in the percent rejection of component.
Keywords: Metal forming; defects; quality; Pareto analysis; AHP; DOE; ANOVA; forming parameters; optimisation; productivity improvement.
Identification of Critical Success Factors for Implementation of MIS in Project-Based Organizations and Classification Using Kano Model
by Marzieh Barkhordar, Hadi Shirouyehzad
Abstract: The problem is that, in spite of the effective role of Management Information Systems (MIS) in improving decision-making and increasing the productivity of organizations, the implementation of these systems are faced challenges. This problem is especially susceptible to project-based organizations due to their nature and uncertainty. In addition, a number of critical success factors in implementing these systems require a good way to categorize. Therefore, due to the gap in previous researches and as an innovation in this research, the Kano method was used. So, firstly, the success factors of the implementation of information systems were collected using records and then they were analyzed through questionnaires and by academic experts. Then these factors were filtered using Binomial test and the final critical factors were classified using the Kano method. The results show that these critical factors can be included in the first priority, including the fundamental features, the most important of which are "the support of senior management and organizations before and after implementation," and the "users participation in all phases of feasibility and implementation" and then the One-dimensional or functional factors are secondary. According to the definition of Kano, it can be said that the success of the MIS implementation in the project-based organizations is realized when the basic characteristics of the first category are met, the functional characteristics are increased and, as far as possible, attractive features can be achieved.
Keywords: critical success factors; management information system; project-based organizations; Kano’s model.
Methodology with multivariate calculation to define and evaluate financial productivity profiles of the chemical sector in Colombia
by Jose Morelos, Tomas Fontalvo, Efrain De La Hoz
Abstract: This research presents a methodology to evaluate the financial productivity profiles of the companies in the chemical sector in Colombia. A rational empirical analysis was carried out, supported by the information of 320 companies in the sector reported in the governmental entity SIREM, Business Reporting Information System. The theoretical foundation was based on the theories of multivariate calculus associated with cluster analysis and discriminant analysis. Also the theories associated with financial productivity indicators were used. This research contributed with a methodology to define and evaluate financial productivity profiles of the chemical sector in Colombia. With the analysis of conglomerates, business profiles were defined, as well as the evaluation of the productive indicators of the companies object of this research. The discriminant analysis allowed analyzing the membership of the business productivity profiles with a 95.4% confidence.
Keywords: Productivity; business profiles; Conglomerate Analysis; Discriminant Analysis.
Phase II monitoring of the nominal logistic regression profiles based on Wald and Rao score test statistics (A case study in health-care: Diabetic patients)
by Kasra Jahani, Hamidreza Feili, Fereydon Ohadi
Abstract: In many statistical process monitoring (SPM), quality of process or product describes by a relationship between one or more predictor variable(s) and a nominal response variable called nominal logistic regression profile (NLRP). In this paper, we develop two control charts including Wald and Rao score test (RST) to monitor NLRP in Phase II. In addition, to evaluate the parameter estimation effect on the control charts performance, maximum likelihood estimation (MLE) is developed in Phase I. Performance of the proposed control charts are evaluated using some simulation studies and results show that Wald control chart has better performance than RST chart under different shifts in NLRP parameters. Furthermore, to show the efficiency of the proposed approaches in real application, a case study in health-care is applied. Real case results is also showed that Wald control chart has better performance in faster detecting the out-of-control condition.
Keywords: Nominal logistic regression profile; control chart; Phase II; statistical process monitoring; health-care systems.
Modeling HSLA Steel Product Quality under Multi-Stage Manufacturing Set Up using Multi-Block Partial Least Square Regression
by Prasun Das, Susanta Kumar Gauri, Anupam Das, Debolina Chatterjee
Abstract: In order to have an understanding about the quality of steel product, involving multiple stages of manufacturing process, adequate assessment about the input-output relationship is necessary to ensure high-quality product. In this study, a high-strength low-alloy (HSLA) steel product quality, comprising of two stages of manufacturing, is modeled using partial least square regression (PLSR) and multi-block PLSR (MBPLSR) approaches. The alloy chemistry and rolling parameters are considered here as input variables along with strength and ductility of the finished steel as responses. Hotellings T2 statistic is used for diagnosis of faults in batches of heat along with developing fault detection system through significant input variables. Both the modeling approaches are found to be useful for this purpose. However, the MBPLSR-based modeling approach is preferable since it helps to locate the source of the problem quicker at appropriate stages of operation with the help of input variables.
Keywords: multi-stage manufacturing; PLSR; MBPLSR; steel making; variable contribution; alloy chemistry; rolling parameters; strength; ductility; sensitivity.
Maintenance optimization through quality management: A case study in Alzinc Plant in Algeria
by Elias Fouad MAMI, Abdelmadjid CHEIKH, Mohammed KADI, Karim LABADI
Abstract: The aim of this paper is to apply the maintenance optimization through quality management for a real-life industrial plant in Algeria, Alzinc that have obtained various certifications (ISO 9001, ISO 14001) and is moving towards a new integrated management. The purpose consists of maintaining production activities without reducing the equipment efficiency as well as the quality of the products, the workers safety and the environment protection. In our study, maintenance optimization combines two innovative and strategic methods, taking into account the social and cultural local background. In this case, it becomes crucial to identify indigenous culture specificities that could be integrated to universal strategic methods and techniques. Thus, our methodology relies upon the combination between Reliability Centred Maintenance (RCM) and Total Productive Maintenance (TPM), using the four first pillars with the aim of achieving a maximal efficiency of the production system (axis n
Keywords: Total Productive Maintenance; RCM; Optimization; OEE; Performance; Quality management; Sociocultural dimension; Industrial systemrn.
A framework model for lean tools selection for improving material flow using Fuzzy TOPSIS
by S. Muthu Baskaran, A.R. Lakshmanan
Abstract: Lean Manufacturing is a world class manufacturing paradigm applied by the manufacturers to achieve manufacturing goals to attract and retain their customers. Application of lean manufacturing lies in following the lean principles and lean tools selection. Lean implementation becomes a tedious process for the lean teams due to difficulty lies in selecting the lean tools. So, it is the need of the hour to develop a method which works well for the proper selection of lean tools based on its point of implementation. In this research work, lean tools are categorized with the help of a framework model for material flow. The developed framework model enlists place, man, machine, process and material as their factors which affect the material flow. The 25 lean tools were selected and ranked within its category under three criteria namely value creation, sustain flow and waste elimination. The three criteria follow the principles of lean manufacturing. Though ranking of lean tools was carried out by several researchers, the lean teams find it hard to implement them in the right places. So, the classified form of lean ranking shown in this research works well in lean tools selection. Among the various ranking tools, Fuzzy TOPSIS, a Multi-Criteria Decision Making method was employed to rank the lean tools individually within its category, with the help of experts opinion. This method would help the implementation team in applying lean tools according to their classification. The results of Sensitivity Analysis were found to be good.
Keywords: Lean tools; Lean Criteria; Material flow; MCDM; Fuzzy logic; Fuzzy TOPSIS.
QUALITY TOLERANCE DESIGN BASED ON FUZZY BINARY RANGE APPROACH.
by Muthukannan Rajkumar, John Martin
Abstract: Total quality tolerance (TQT) has been widely recognised as a strategic weapon for improving manufacturing performance. The evaluation of quality tolerance efficiency can assist factories in improving their operations across a variety of dimensions. Effective benchmark of high performance in tolerance design, dimension analysis, machinability and assemblability are identified for improving the quality tolerance in manufacturing units. In this paper, drive shaft assembly is considered which is adopted from literature and finding the overall quality tolerance through neuro-fuzzy flow diagram method for different level with minimum inputs are analysed in different fuzzification range values to get optimisation in overall quality tolerance. The characteristics of neuro-fuzzy, multi-stage evaluation and decision making in concurrent product design process are also analysed and a decision support system for tolerance design in concurrent engineering is presented.
Keywords: Tolerance design; Dimension Analysis; Machinability; Assemblability and Weighted binary range method.
Fuzzy multi-objective economic-statistical design of X-bar control chart
by ABHIJEET GANGULY, SAROJ KUMAR PATEL
Abstract: Nowadays manufacturing organizations are aiming towards producing higher quality outputs at lower cost of production to keep stride with the competition. The control charts are the most popular and widely used statistical process control tools that can be used for monitoring the unevenness in quality characteristics of a production process. The economic-statistical design of control chart selects three parameters, namely sample size n, sampling interval h and control limit width k to achieve the lowest cost with desirable statistical properties. However, the cost function and statistical properties are interrelated. Hence, minimizing the cost as the only objective is not an efficient method of designing control charts. In this paper, a multi-objective model for the economic-statistical design of X-bar control chart has been proposed with three objectives i.e., to minimize mean hourly cost, maximize in-control average run length and maximize the power of detecting process shift. A multi-objective evolutionary genetic algorithm is used to obtain the Pareto-optimal solution for this design which are then ranked by fuzzy performance importance index. The performance of the proposed method is compared through a numerical example and observed to be superior to that reported in the literature.
Keywords: Economic-statistical design; Fuzzy logic; Multi-objective genetic algorithm; Taguchi method; X-bar control chart.
The Impact of Foreign Labour on Average Real Wages of Residents: Evidence from Malaysias Construction Sector
by Atif Awad, Ishak Yussof
Abstract: In this study, instead of examining the impact of migrant workers on the real wages of natives, which has already been extensively addressed, we have estimated the impact of migrant workers on the average real wages of residents (both natives and earlier immigrants). We examine whether the impact of migrant workers on the average real wages of residents varies over time as well as varying across occupations. We employ the Pooled Mean Group (PMG) technique on panel data for four Malaysian construction subsectors during the period 1990 to 2010. The results show that over time all foreign labour as well as unskilled migrant workers have considerable and positive impacts on the real wages of all resident workers. However, in the adjustment period, in the short-run, only the wages of unskilled workers respond positively and significantly to foreign workers. Given both the unfavorable work conditions for natives as well as the significance of this sector to the overall economy, policymakers should facilitate the flow of migrant workers to this sector
Keywords: foreign labor; wages; working condition; demand and supply of labor.
FACTORS AFFECTING PRODUCTIVITY AND IMPROVEMENT IN BUILDING CONSTRUCTION SITES
by Ahmed Mohammed Abdelalim
Abstract: This research aims to identify and investigate factors affecting productivity in building construction sites. In addition, the importance of these factors has been studied extensively through a widely spread questionnaire among 183 participants. The research area covers the MENA region, especially Egypt and Saudi Arabia as the main markets there and diversity of mega construction projects and abundance of affecting parameters, in addition to the availability of running direct interviewing and validation. The investments between both countries need a good understanding of the factors affecting the projects productivity and progress of work in each country. The comparison of factors importance will help in making right investment decisions and better understanding of the nature of building construction sites, as well as it applies to a boarder construction environment as most of working construction companies there are international companies coming from different countries all over the world.
Among the large number of factors affecting productivity, 49 factors were carefully selected throughout carrying out extensive search and factor frequency of similar reaerches , these factors were categorized into seven groups to cover the most frequent elements of measuring and enhancing productivity. A structured questionnaire survey was utilized for data gathering from construction sites. The target population is represented by a random representative sample of practitioners related to the Egyptian and Saudi construction sites.
This research also intends to provide simple and comprehensive recommendations and suggested method of determining loss in productivity that can be adopted by construction managers for an effective management of construction sites and higher productivity.
Keywords: : Productivity; Construction sites; effectiveness; importance index; Motivation; Human Factors; Variance and Statistical Analysis.
Reduction in Call handling Time in Transportation service industry using Lean Six Sigma DMAIC methodology
by Ritesh Adhyapak, Sobhan Koppuravuri, Abin Baby
Abstract: The paper reviews the use of DMAIC six sigma methodology in a selected transportation cab service industry to improve customer satisfaction levels. The DMAIC comprises of five phases define, measure, analyse, improve and control. Various tools were used in the five phases starting with the voice of customer (VOC) matrix and project charter. Cause and effect diagram was used to find out the potential factors behind the high waiting time. Brainstorming sessions were also conducted to get a better sense of the high call handling time and suggestions were put forth to improve them. SMED analysis was also done to gauge the different changeover elements in the company. The average queue length for the 1st shift came down to 3.6 from 4.433 resulting in an estimated annual profit of $29250 annually.
Keywords: DMAIC; Transportation; Six Sigma; Voice of Customer; Cause and effect; Brainstorming.
Evaluating the Maturity Level of TQM Benefits in Pakistan
by Muhammad Arslan
Abstract: Previous studies majorly focus on defining TQM and describing relationship between TQM practices and performance. This paper addresses the achievement of post implementation benefits of total quality management (TQM). TQM is highly emphasised from the last decade in industries of Pakistan and this examination shows practical influence after implementation. A survey form was designed and conducted the survey in diversified type of companies in Pakistan. Analysis through descriptive statistics of 61 survey forms represents that organisations, following TQM approach, are realising the positive paybacks of TQM. Consequently, it is a source of inspiration to help the non-TQM industries to implement TQM and understand the actual performance of TQM system so they can achieve the direct and indirect benefits in terms of profit. One of the firms, before implementing TQM, assigned a project to conduct a practical survey which will contribute to know the extent of the industry practitioners about the maturity level of TQM benefits to compete at global market place. Finally, it aims to provide the idea for any industry to initiate the application of TQM.
Keywords: Total Quality Management Benefits of TQM Maturity level of TQM Practical Survey TQM.
A PRINCIPAL COMPONENT ANALYSIS OF MONITORING AND EVALUATION DETERMINANTS FOR CONSTRUCTION PROJECTS DELIVERY IN DEVELOPING COUNTRIES
by Callistus Tengan
Abstract: A data reduction technique is adopted to identify the critical determinants of effective monitoring and evaluation in the construction industry. The views of randomly selected construction professionals from Ghana, Nigeria and South Africa were collected through a questionnaire survey. Adopting a quantitative research approach for the study, extant literature was conducted to identify monitoring and evaluation determining factors. Subsequently, a five-point Likert scale was drawn for respondents to rank the factors. A Cronbach's alpha value of 0.953 was achieved based on standardised items. Similarly, the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett's test of sphericity was conducted before the data were subjected to principal component analysis. The study provides a new contribution to knowledge by introducing three new variables of uncorrelated determinants that better explain effective monitoring and evaluation. These variables are described as M&E management and human relation, M&E participation and information and M&E implementation and approach. The study, therefore, recommends consideration of these factors by project managers to ensure M&E is effective and delivers successful construction project.
Keywords: Construction Projects; Determinants; Ghana; Implementation; Monitoring and evaluation; Participation.
The Impact of Quality Management Practices, Training and Employee Suggestion Schemes on Quality Performance
by Mahesh Prabhu H, Suhan Sundar
Abstract: Quality has become an important competitive priority for manufacturing industries in the globalised scenario and this has resulted in firms benchmarking their quality practices among the best in the world. The purpose of this paper is to look into the impact of quality management practices on quality performance in a manufacturing firm of a public sector undertaking in India and explore the indirect impact of training and employee suggestion scheme on the relation between quality management practices and quality performance. Data was collected from 235 executives and analysed using partial least square. Results indicate that quality management practices had a positive impact on quality performance. Further analysis revealed that training partially mediates the relation between quality management practices and quality performance whereas employee suggestion scheme did not. Recommendations to ensure better organisational performance through quality management practices suggested.
Keywords: Quality Management Practices; 5S; Six-Sigma; Quality Management System; Training; Employee Suggestion Scheme; Quality Performance; Public Sector Undertaking Firm; India.
Benchmarking of Internal Supply Chain Management: Factors analysis and ranking using ISM approach, MICMAC analysis
by Kailash , Rajeev Kumar Saha, Sanjeev Goyal
Abstract: Several qualitative and quantitative techniques are available for factors analysis of benchmarking of supply chain management. Fifteen variable factors of benchmarking of internal supply chain management (ISCM) has been identified and derived theoretically from various literature sources and opinions of experts from 300 manufacturing industries. Mean score and an interpretive structural modelling (ISM) approach is applied to assign the rank of factors. In ISM approach, influence between factors is determined by considering the opinions of experts from relevant field. An industrial questionnaire method is used to collect the opinion of experts. Firstly, analysis of the interactions among factors for benchmarking of ISCM by ISM approach and matriced impacts croises multiplication appliqueeaun classement (MICMAC) analysis. Secondly, to develop the relationship among identified rank of factors. Finally, to do the classification of variable factors into clusters based on their driving power and dependence power. According to social implication and managerial point of view, this research provides help to researchers and managers to understand the mutual influence of factors. This research work is also helpful to identify those factors which support in benchmarking of ISCM of any business organisation.
Keywords: ISCM; ISM approach; Factors of benchmarking of ISCM; MICMAC analysis; Industrial questionnaire survey.
Sustainable benefits of Electronic waste recycling in India: a System Dynamics Analysis
by Karishma Chaudhary, Prem Vrat
Abstract: Despite the fact that 95% of the Electronic waste (E-waste) generated is routed to unorganized sector, India is still struggling to put up an effective E-waste management system. This paper highlights the sustainability link of an efficient and effective E-waste Reverse supply chain (RSC) of E-waste in India. A System Dynamics (SD) model of circular flow of Electronics products from manufacturing stage to recycling stage has been developed using Stella Software version 9.1.3. Seven scenarios have been simulated using the model to study behavior of various variables. Study of trends provides very useful insights to facilitate policy decisions for implementation of E-waste RSC in India. This study also recommends various strategies to improve the collection efficiency of the organized sector.
Keywords: E-waste; Material reserve; Sustainability link; System Dynamics (SD); Causal Loop and Stock and Flow Diagrams.
Risk Analysis of CNG Dispensing Unit by Fuzzy Digraph Matrix and Dempster-Shafer Approach
by Priyank Srivastava, Dinesh Khanduja, Mridul Tulsiyan, Manik Tandon, Mohit Agarwal, Sumit Gupta, Subramaniam Ganesan
Abstract: The CNG dispensing unit is an important investment for taking advantage of CNG fuel, though its handling is not as simple as other conventional fuels. The cost can only be realised if it is operated with maximum availability. In present research work, risk analysis of CNG dispensing unit has been exemplified by applying fuzzy digraph matrix and D-S theory. Forty-three failure causes have been identified, analysed and prioritised using the mentioned approach. The display error and regulator function failure for metering skid, internal valve failure and gasket damage for compressor, internal pipe leakage and PLC failure for priority panel, flow sensor, motherboard and valve failure for dispenser unit, plug and tank leakage have been identified as risk for CNG dispensing unit. The results from both the approaches show synergy. The risk identification and prioritisation results have been forwarded to maintenance engineer for critical analysis and proper maintenance planning.
Keywords: CNG; Fuzzy Diagraph Matrix Approach (FDMA); Dempster and Shafer Evidence Theory.
Planning and scheduling problems of production systems: Review, classification and opportunities
by Zineb Ibn Majdoub Hassani, Abdellah El Barkany, Abdel Moumen Darcherif, Abdelouahhab Jabri
Abstract: Production planning and scheduling are generally treated sequentially. Scheduling largely depends on the production quantities computed at the production planning level. Ignoring scheduling constraints in planning leads to inconsistent decisions, therefore, this generates unfeasible solutions. Moreover, solving these problems in complex manufacturing systems is a big challenge in production management. So, integrating production planning and scheduling is crucial to realize the coherence between objectives and workshops capacities. Thats why, industries are seeking to improve their production systems to make them more flexible, competitive and reactive, through a better production management and integrating approaches. This paper represents a literature review of the production planning, scheduling and the different approaches that have been elaborated in order to solve the main problematic.
Keywords: Production; Planning; Scheduling; Coupling; Constraints; Criteria; optimization; simulation.
Product quality analysis for multi-processes with multiple quality characteristics using capability indices
by Sujeong Seo, Robert Parody
Abstract: To obtain numerical measures on process potential and process performance which meets the pre-set targets of the customer, process capability indices are used widely in the manufacturing industry. Capability measure for processes with a single set of characteristics has been investigated extensively but is comparatively neglected for processes with multiple characteristics. Also, process capability indices are treated effectively wherein the indices identify and measure deficiencies in process capability owing to individual quality characteristics instead of the product level quality. In this paper, we propose a reliable approach to multiple quality components and how components affect the product level quality overall. Relationships between quality components and product level quality process contributes opportunities for continuous improvement on the manufacturing process.
Keywords: Quality engineering; process capability indices; production management; quality control; process capability analysis; statistical process control.
Extension of the Model of Manufacturing Supply Chain Quality Management: An empirical study
by Arash Apornak, Mariam Amiri Hezaveh
Abstract: Supply chain management could flow the quality management from the level of the individual to the entire chain. The cross-compliance with supply chain management and effective relationships between supply chain partners are able to provide the context in which they can play their role in a successful quality management and ultimately improve the quality of the final customer and the profitability and satisfaction, The existing research to develop previous studies that have focused on supply chain quality management, According to this after a survey on different frameworks in the areas of quality management and supply chain from reviewing of literature, the most appropriate framework based on a case study situation has been chosen. Then the data has been gathered from questionnaires and was statistically analyzed. The hypotheses of the study have been confirmed and it also suggests that the eight components of the model influence on supply chain quality management.
Keywords: total quality management; supply chain management; production management; supply chain integration; quality models; structural equation modeling.
Broadening the Lean Six Sigma Concept through Employee Adaptability: A Literature Review
by Michael Sony, Nandakumar Mekkoth
Abstract: LSS is one of the most widely implemented initiatives within the organisations. Employees are one of the most important factors for its success. However, due to the absence of an implementation framework, it creates a complex environment for the employees. The purpose of this paper is to examine the different dimensions an employee must adapt while implementing LSS. An integrative literature review is carried for the last 25 years. This research paper finds eight dimensions on which employee has to adapt while implementing LSS. The eight dimensions along with research propositions for future research are discussed. There are many studies on the implementation aspect of LSS. There is yet to be a study discussing how an employee would adapt to LSS initiatives for a sustainable implementation. This is the first literature review carried out on employee adaptability and LSS. This study will add value to organisations so that they can better recruit and manage their employees. Likewise, the academicians will also benefit from the literature review and research propositions for the future research agenda.
Keywords: Lean; Six Sigma; Lean Six Sigma; Employee Adaptability; Literature Review.
Compensation System and Job Satisfaction: The Application of the Job Descriptive Index in the Public-Sector of Jordan
by Sahem Nawafleh, Mohammad Rawabdeh
Abstract: Current study examined the effect of compensation system in the prediction of employee job satisfaction within the public-sector of Jordan through using the job-descriptive-index (JDI). Data was collected through questionnaire across (314) respondents. Structural-equation-modelling applied and following the completion of the analysis, direct-monetary compensation was found to be partially related to JDI dimensions, whilst, in contrary to expectations indirect-monetary compensation were seen to have no role in achieving job satisfaction, further, non-monetary compensation significantly influenced JDI dimensions of satisfaction, in addition to that, demographic characteristics were found to be significant in affecting job satisfaction. Such results indicate an issue with the provided compensation system that need to be addressed by the public-sector administrative. Further works need to be carried out in order to explore how provided compensation could be effective booster for employee satisfaction especially in the context of Jordan.
Keywords: Compensation system; job satisfaction; JDI; demographic characteristics; public-sector; Jordan.
The relationship between Total Quality Management (TQM) practices and organizational image in the hospital industry: an empirical examination.
by Faisal Babu, Sam Thomas
Abstract: Purposes: 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 organizational image by investigating the perceptions of hospital leaders in the context of the Indian healthcare system.
Design/methodology/approach: 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 Modeling (SEM) was done with the use of WarpPLS 50 to test the structural model.
Findings: This study shows that leadership is acting as the key driver in implementing quality systems in hospitals and the important TQM practices considered in this study were able to explain the major portion of the variance in the dependent variable and organizational image. 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 organizational image.
Implications: For the effective and efficient implementation of healthcare quality management systems, highly committed and quality oriented leadership style has to be developed. Through practising TQM elements a positive image of the organization can be brought about.
Originality/value: This research effort focuses on assessing to what extent management leadership is related to major TQM practices and organizational image and, also identifies the major predictors of the organizational image. So this study provides a foundation for hospital quality practitioners and management for implementing quality practices aimed at improving the organizational image.
Keywords: Total Quality Management (TQM); Management Leadership; Organizational Image; Hospital; Healthcare/Hospital Accreditation; NABH; Quality Management Practices; Healthcare/Hospital Quality.
Evaluating bikesharing service quality : A case study for BIXI, Montreal
by Mukesh Verma, Anjali Awasthi
Abstract: Public transportation is vital to citys 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 bike sharing 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. 313 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.
Keywords: Bike sharing; Service Quality; Gap Analysis; SERVQUAL; Compliment/Complaints Analysis.
Developing a Qualitative Model of Productivity for Service Companies Using Fuzzy analytic hierarchy process: A case study
by Changiz Valmohammadi, Milad Akhlaghi Motlagh, Mahmoud Modiri
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 an 8 members of the surveyed company including managers of various functions who are expert 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 analyze the data in the final phase and to calculate the weights of the dimensions and measures of the both factors of efficiency and effectiveness based on the proposed qualitative productivity model. The main finding of this study is the qualitative model that was developed to identify various dimensions and their related indicators of efficiency and effectiveness of a service organization. Based the obtained weights for both efficiency and effectiveness factors which are 0.5, it could be concluded that surveyed company needs to improve the identified dimensions of efficiency and effectiveness factors equally to increase its qualitative productivity. This study develops dimensions and various measures of efficiency and effectiveness of Service Company which could help the surveyed company to accomplish their strategic objectives. Also, this model could be used as a guideline for other service organizations to design and develop based on their own requirements and necessities.
Keywords: Qualitative Model of Productivity; Fuzzy Analytic Hierarchy Process (FAHP); Efficiency; Effectiveness; Service Companies; Case Study.
An FMEA-based integrated framework to quantify and improve operational performance in advanced manufacturing environments: a case study
by CHEN FUNG LIEW, Joshua Prakash, Kok Seng Ong
Abstract: The failure mode and effect analysis (FMEA) aims to improve the operational performance in manufacturing processes of a product. Current FMEA practice does not define a specific method for quantifying achievement in operational performances. Risk priority number (RPN) is independent of operational performance. The capability of current FMEA to improve operational performance cannot be validated unless a quantifiable operational performance improvement is demonstrated. This study offered guidelines to quantify the operational performance within the FMEA methodology. Different from traditional FMEA, the new FMEA-based integrated framework ascertains the priority set by RPN with operational performance indicators (OPI) for ensuring the priority is relevant to operational performance. Design for manufacturing and assembly (DFMA) and poka-yoke provide systematic guidelines for optimising design and developing a highly robust error-proofing system. Application of the new FMEA-based integrated framework in a medical device manufacturer in Malaysia demonstrated that the overall defect rate was reduced by 87.2%.
Keywords: failure mode effect and analysis (FMEA); risk priority number (RPN); operational performance indicator (OPI); design for manufacturing and assembly (DFMA); poka-yoke.
An AHP based comparison between automated and manual material handling systems in FMS environment
by Vimlesh Kumar Ojha, Sandhya Dixit, Sanjeev Goyal
Abstract: Flexible manufacturing is a process which permits production systems to perform under high customised production needs. The goals of manufacturing systems like minimum inventories, improved quality, enhanced technical performance and reduction of cost can be achieved by implementing the FMS. Material handling system plays a very important role and consumes a significant amount of cost and time in flexible manufacturing system (FMS). Since a lot of factors affect the material handling system, so selection of best suitable material handling system which optimises all these factors is a big problem before any material manager. The purpose of this study is to present a multi-criteria decision making comparison model which would be very useful for choosing better alternative between automated and manual material handling system (MMHS). Analytical hierarchy process (AHP)-based comparison is performed upon these attributes to select the best alternative between manual material handling system and automated material handling system (AMHS).
Keywords: FMS; Material handling system; Attributes; AHP; Weightage.
Performance Benchmarking on Export Credit Agencies: A Data Envelopment Analysis
by Yong J. Wang, Amir Karbassi Yazdi, Mehdi Mohammadi Kahorin
Abstract: Export credit agencies (ECAs) play an important role in a country's export oriented economy. Due to the importance, this research aims to evaluate the performance of ECAs that are members of the Prague Club and the Berne Union, based on four inputs and five outputs. For the purpose of performance benchmarking, data envelopment analysis (DEA) is applied in this research to investigate the performance variables. The results show that, among the selected ECAs, 12 of them are efficient and nine are inefficient. Moreover, we demonstrate how inefficient ECAs can benchmark against efficient ECAs for better performance by prioritising inputs and outputs.
Keywords: Data Envelopment Analysis (DEA); BCC Model; Firm Performance; Benchmarking; Export Credit Agency (ECA).
Evaluation of TPM Strategies for Manufacturing Performance Improvement of Indian SMEs for Strategic Success
by Abhishek Jain, Harwinder Singh, Rajbir S. Bhatti
Abstract: Performance improvement of Indian organizations plays a vital role to survive in this competitive era. Indian Small & Medium Enterprises (SMEs) are the heart of large organizations because every large organization is purchasing a number of components from SMEs. Now-a-days, it is very essential to find the appropriate improvement strategy to implement in Indian SMEs for their manufacturing performance improvement. 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 categorize them. The authors have identified 4 improvement strategies as profiles or a Course of actions by using OPM. Pairwise comparison of AHP methodology is used to find the weight of various objectives of manufacturing performance improvement. And finally, the authors have used FST to rank these four improvement strategies by making weighted position matrix and dominance matrix. The present work identified the ranking of TPM strategies for manufacturing performance improvement through multi criteria decision making (MCDM) methodology.
Keywords: TPM; SMEs; TPM strategies; OFM; OPM; AHP; FST; manufacturing performance improvement.
Dealing with generalized DEA models for input-output estimation
by Mojtaba Ghiyasi
Abstract: This article addresses the inverse DEA models to deal with such a question: if a DMU changes some of its input (output) levels among a group of DMUs, to what extent should the unit change outputs (inputs) such that its efficiency score remains unchanged? The article unfolds some problematic aspect of inverse DEA model with saying that inverse DEA models do not work in some situations which should be considered on process of input or output estimation. This is done by proposing a numerical example and mathematical ratiocination. Additional arguments and theorems are provided to overcome to the currents drawbacks. This revises and improves the existing literature. Proposed models are illustrated using numerical examples.
Keywords: Input and output estimation; Inverse problem; DEA; MOLP.
People Management for Sustainable SMEs
by Sooksan Kantabutra
Abstract: The study identifies people management practices among sustainable SMEs that adopt the Thai philosophy of sufficiency economy. The study adopts multi-data collection methods. 'Grounded theory' is adopted as the approach for data analysis. Emerging people management practices are: 1) identifying core competencies consistent to Thai values; 2) being genuinely concerned for employees; 3) offering life skills training for employees; 4) providing opportunities for employees to suggest ideas and encourage them to take part in decision makings; 5) growing own managers; 6) encouraging employees to contribute to the society and environment. This paper is among the first that explore the relationships between people management practices and corporate sustainability in Thai SMEs and propose theoretical assertions between them for future theory building.
Keywords: sufficiency economy; sustainable people management; corporate sustainability; Thailand.
Quality Management to facilitate product introduction across borders
by Promporn Wangwacharakul, Martina Berglund, Ulrika Harlin
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.
Keywords: Cross-cultural collaboration; cross-cultural management; managerial challenges; new product development; industrialisation; Sweden; China; quality management; case study; longitudinal case study.
The new conceptual model for print management: Total Production Management
by Nagaraj Kamath, Lewlyn L. R. Rodrigues
Abstract: Purpose: Print companies spend a lot in the maintenance related activities, which can be significantly reduced by focusing more on managing operations. The work presented here contributes towards the development of a conceptual framework for operations management in the printing industry. This study also analyses the implications of using the proposed model (Total Production Management) in a printing press. rnMethodology: This study identifies the constructs available in the best industrial practices through literature review. The proposed conceptual model integrates components, thus identified, with other sociotechnical variables. The soundest practices of Total Quality Management (TQM), Total Productive Maintenance (TPM) with human and contextual factors are the core ingredients of the recommended model. rnFindings: The outcome of this study is to develop a conceptual framework for print operation administration that manages a multi-colour offset machine, by incorporating sociotechnical variables in the traditional approaches. rnResearch Limitation: The model elaborated in this paper deals with the print management of multi-colour sheet-fed offset machine only. However, this model has scope to include other pre-press and post press related constructs also. rnPractical implications: Published studies on the combination of sociotechnical variables for print management are insufficient. The conceptual model proposed in this paper would assist the managers to assess, formulate, a suitable strategy for print management, by the blend of sociotechnical variables.rnrnPaper type: Conceptual paper based on literature review.rn
Keywords: Total Productive Maintenance; Total Quality Management; Human factors; Contextual variables.
Measuring organisational performance using work measurement: Towards improving productivity
by BARNES SOOKDEO
Abstract: Improvements in quality and productivity based on work measurement can be achieved by means of a simple, consistent measurement system. In spite of the ever-increasing importance of performance measurement to monitor outputs and improve productivity, few large-scale empirical studies concern models, characteristics and indicators of performance measurement systems (PMS). The objective of this article is to demonstrate the necessity for a PMS to ensure that performance is measured and operations and employees are managed. The research design of the study consisted of a mixed-methods approach. The output of this article is a PMS designed and based on the work measurement technique. The results indicate that if organisations do not have measurement systems, they will not be able to measure their outputs and improve productivity. The empirical results indicate the essential need for the system. The implementation of this system will ensure that organisational performance is measured and productivity enhanced.
Keywords: Work study; work measurement; performance measurement; time study; basic time; rest allowance; contingency allowance; rating; standard time.
Special Issue on: Green and Sustainable Practices in Supply Chains
Literature Review: Continuous Improvement through Lean Six Sigma
by Narottam Yadav, K. Mathiyazhagan, Krishan Kumar
Abstract: Six Sigma is a business metric used in manufacturing, service and healthcare sectors. The purpose of this paper is to uncovering existing literature gaps in the field of Lean Six Sigma. From the literature review, 2461 papers were identified based on publication period of 2003 to 2018. It is concluded from the analysis of the results that no framework available in the literature for successful implementation of LSS. There is a need for the empirical study that how to create a continuous improvement culture in the organization and specific barriers for conducting improvements. Lean Six Sigma can be integrated with other improvement philosophies to achieve overall excellence. The thorough review of existing literature reveals that adoption of LSS plays a vital role in process improvement, variation reduction and defect reduction.
Keywords: Lean; Six Sigma; Literature review; Problem-solving; Manufacturing; Process Improvement; Indian Industry.
Inventory Reduction using the Optimal Policy Curve approach: A Case study
by Ravindra Ojha
The current trends in Indian Automotive manufacturing industry indicate a rapidly increasing socio-technical complexity of its manufacturing systems. The industry is striving to meet the ever-changing behavior of the market demand. This has led to considerable increase in variety of products manufactured under one roof. Increasing variety requires high attention to control the high inventory levels of parts and aggregates. This paper focuses on understanding and analyzing causes of high inventory levels of a leading Tier-I automotive supplier and recommending the way forward using a structured methodology. The Quality Control (QC) tools, the EOQ (Economic Order Quantity) and the Optimal-Policy curve (Exchange curve) approach have been utilized effectively to funnel the key issues and finally optimize the inventory level of the key parts. The application of the QC tools and the Optima- policy curve approach has resulted in a healthy 25% reduction of the high inventory in the industry under taken as a case study.
Keywords: Optimal Policy curve; Exchange curve approach; Economic Order Quality; Pareto analysis and Cause and Effect diagram.
Qualitative and Quantitative Analysis of Discomfort Glare Due to Artificial Indoor Lighting
by Deevesh Sharma, Awadhesh Bhardwaj, Monica Sharma, Ashraf Mirza
Abstract: The research evaluated the effect of the change in position of the observer and luminance of light source on discomfort glare. There were two approaches taken in this study, one was qualitative and other was quantitative approach. The quantitative approach was based on unified glare rating. If the value obtained from the UGR formula is more than 10 then according to CIE (International Commission on Illumination), discomfort glare will be there. In this study, 11 experiments have been conducted to get degree of glare at different places of room. The qualitative analysis performed over 15 participants and on the basis of questionnaire, degree of glare has been evaluated. A participant has to answer that he finds particular field of direction comfortable or not by marking it on a scale (De-Boer) of 1-4. The result obtained from both approaches were compared to get the comfortable range of illuminance and the angle between the luminaire with line of sight.
Keywords: Discomfort Glare; UGR; Guth Position Index; Luminance; LED; CFL.
Determinants of Green Supply Chain Practices of Manufacturing Companies in Sri Lanka
by Chamari Jayarathna, Nalaka Wickramasinghe
Abstract: Most of the organizations tend to accept the green practices as a concern to environmental sustainability. Therefore, this study aims to identify the key drivers that influence to adopt green supply chain practices of manufacturing firms in Sri Lanka. For this purpose, quantitative approach was followed, and data collected through structured questionnaire were analyzed using Structural Equation Model. Theoretical scope of the study includes identifying external factors based on institutional theory and internal factors based on resource-based view for adopting green supply chain practices while empirical scope narrows down to the manufacturing companies in western province of Sri Lanka. The study found that normative pressure and mimetic pressure as external factors and tangible resources and capabilities as internal factors are significantly influenced to adopt green suply chain practices while coercive pressure and intangible resources are not. These findings will guide manufacturers and suppliers when implementing green supply chain practices in their organization and help government to make some policies regarding green supply chain management.
Keywords: Green Supply Chain Management; Resource Based View Theory; Structural Equation Analysis; Internal Factors; External Factors; Sri Lanka.
Exploring the relationship between dimensions of Quality Management Practices and Business Performance
by Deepinder Singh, Harwinder Singh, Jagwinder Singh Pandher, Raman Kumar
Abstract: Quality management practices (QMP) can be either explorative or exploitative and these can benefit organization with both orientations. In this research work, an attempt has been made to explore the dimension of QMP with respect to business performance. A path model is developed which exhibit the relationship between QMP and business performance. The SPSS software package and AMOS 21 was used to perform confirmatory factor analysis. The second order confirmatory factor analysis was used to test the considered six hypotheses. The finding showed that top management support (TMS), supplier relationship (SR), workforce commitment (WC), people management (PM), workplace organization (WO) are directly related to business performance. Moreover, leadership is not directly associated with business performance. The outcome of this study offer theoretical as well as practical managerial implication to improve business performance.
Keywords: QMP; business performance; path model; CFA.