International Journal of Process Management and Benchmarking (68 papers in press)
Modeling new service development using Kano, QFD, and Mathematical programming in an emergency department healthcare unit
by Arash Apornak, Sadigh Raissi, Abbas Keramati, Kaveh Khalili-Damghani
Abstract: The level of patient satisfaction is so important to know what features keeps patients most satisfied. In this research by using Kano model to determine patient satisfaction level and by integrating it in to QFD matrix to ensure that the most critical needs of patients are taken into consideration, In this paper we first identify the needs of patients in this study, which evaluated using a standard questionnaire that was designed to determine the Kano Model and by using QFD tool to evaluate current Status of the research case study in Hospital by integrating QFD-Kano model. This method can help to identify the patients needs and translate voice of patients in reality, by determining each weight of technical requirements of the study by using goal programming determine the objective function of each parameters that is evaluated in study.
Keywords: Quality Function Deployment (QFD); Kano model; Goal programming model; New Service Development; emergency department healthcare.
Development of Framework for Green manufacturing with Comparative analysis
by Mahakdeep Singh, Kanwarpreet Singh, Amanpreet Singh Sethi
Abstract: This manuscript is focused on proposing a framework for smooth implementation of green manufacturing after identification of green manufacturing attributes after detailed literature survey and comparative analysis of the literature. A conceptual framework has been proposed consisting eight parameters for green manufacturing implementation. There is a lot of reliability on solid base of top management commitment and support. The roof is named as of implementation of green manufacturing to which seven pillars has been providing support. Every organisation is required to give substantial importance to these elements to successfully implement green manufacturing. These seven pillars are organisational practices, peer social pressure, peer government pressure, customers attributes, green supply chain management, government support, adoption of new/supportive technology. The current study is the sole attempt, to the best of the knowledge of authors, which have employed comparative analysis in order to critically analyse a range of pre-published studies related to green manufacturing.
Keywords: green manufacturing; framework; comparative analysis.
Scenario building and measurement of the business process maturity using fuzzy cognitive mapping technique: A case study in SAIPA company
by Mohammad Reza Sadeghi Moghaddam, Ali Safari, Hossein Safari, Taha Mansouri
Abstract: One of the current concerns of managers is to develop the business process maturity and identify the conditions for improving the pertaining processes. This eventuates in increased customers, reduced costs along with mechanised business processes. In this regard, this paper unveils a two-stage approach to develop the maturity of business process management exploiting the fuzzy cognitive mapping technique. In the first stage, a systematic review of the relevant literature is carried out. The output of this stage encompasses the maturity levels, factors and indicators of the concerned business process model. Applying the fuzzy cognitive mapping technique, the second stage obtains macro causes and effects, in which, the dimensions of maturity and related relationships are identified to render the possibility of scenario building for the development of business process maturity. In a bid to validate and verify the proposed approach, a real case study is conducted, via which important insights are derived.
Keywords: business process maturity model; fuzzy cognitive map; scenario planning.
Multi-criteria Decision Making and Project Portfolio Management for Transport Infrastructure Investment in Thailand
by Panasin Chungsawanant, Parames Chutima, Chaipong Pongpanich
Abstract: Transport project selection is always critical in government planning due to limited resources and diverse demands. Project portfolio management (PPM) was proposed in this study to suggest an optimal set of projects under predetermined constraints. With multiple conflicting criteria, comprehensive steps of multi-criteria decision making (MCDM) procedures were proposed in this study. The process begins with a step of pre-screening the projects and selecting the criteria for project evaluation. Sequential steps of: 1) weight determination process using the proportion method; 2) MCDM process using preference ranking organisation method for enrichment evaluations (PROMETHEE) II; 3) constraint consideration process using PROMETHEE V, was proposed to evaluate and select an optimal project portfolio. The study showed that decision making could be successfully done for the transport infrastructure investment with minimal complex calculation steps and questionnaire input from experts.
Keywords: decision making; multi-criteria decision making; MCDM; portfolio management; proportion method; Thailand; transport infrastructure; transport project evaluation; PROMETHEE.
ENERGY CONSERVATION THROUGH LEAN INITIATIVE IN A MANUFACTURING COMPANY: A CASE STUDY
by Giridar S, Saleeshya P.G, Sasi K. Kottayil
Abstract: Energy conservation is a significant concept due to global concern on climate change. Manufacturing sector is the major consumer of energy from overall electricity generation. The concept of lean manufacturing having its prime motive to eliminate non-value added wastes has a wide window of opportunity to save the energy. This paper is an outcome of a case study conducted in a solar water heater manufacturing industry in South India. This study combines the lean manufacturing and energy auditing techniques to assess the efficiency of the manufacturer. We implemented the concept of 5S and value stream mapping which reveal several non-value added activities present in the production system. Then the concept of Takt time is introduced to keep the company efficient to meet their demand. The backorders present in the system is addressed by introducing forecasting models. We have generated an optimum production mix through Heijunka concept to obtain a levelled production schedule. The concept of leanness was also introduced in auditing the energy consumption of machineries present in the system, which was a novel attempt of applying lean concepts in electrical energy conservation.
Keywords: energy value stream mapping; EVSM; lean energy; lean energy management.
The relationship between HRM practices, Innovation, and Employee Productivity in UAE Public Sector: A Structural Equation Modeling Approach
by Hamad AlDhaheri, Mohd. Faiz Hilmi, Anas Abudaqa, Rashed Alzahmi, Gouher Ahmed
Abstract: The study examines the impact of human resource (HR) practices like salary, training and development, performance appraisal along with remuneration and employee attitude on employee productivity among the government entities in United Arab Emirates (UAE). The data were collected through structured questionnaire from the 396 respondents from different government entities. The findings through structural equation model (SEM) indicates that there is a significant and positive impact of salary, training and development, performance appraisal, remuneration and employee attitude, and innovation on the employee productivity of governmental entities in UAE. This empirical research would be of great support to the HR managers, policy makers, and other stakeholders to make some strategic decisions to improve the productivity of the employees.
Keywords: HR practices; employee productivity; firm innovativeness; UAE.
The roles of demographic attributes on technical design practices: a case of curtain wall systems
by Porferio M. Almerino Jr., Celbert Himang, Reylan G. Capuno, Dennis L. Capuyan, Raymond C. Espina, Randy C. Mangubat, Eric R. Villarin, Ramil P. Manguilimotan, Veronica O. Calasang, Angelito L. Marsan, Janneka Fae C. Capuno, Joedel B. Bellete, Dharyll Prince Abellana, Lanndon A. Ocampo
Abstract: With the need to integrate green solutions in the construction industry, the design of curtain wall systems has become more relevant due to their tendency to reduce energy costs and carbon emissions in high-rise buildings. However, with the limited attention given to these systems technical design practices, developing a more comprehensive framework for evaluating them is a current gap in the literature. To address this gap, this paper evaluates the technical design practices of a fully framed aluminium curtain wall in the Philippines using a purposive survey. Furthermore, the paper seeks to infer whether an association between the identified profile and design practices exists. This work contributes significantly to the current literature. It is the first to evaluate the technical design practices of curtain wall systems in the Philippines to the best of our knowledge. The findings in this study would be beneficial for stakeholders as they can be used to develop benchmarks for evaluating CWS in the country.
Keywords: aluminium fabrication; aluminium installation; American Society for Testing and Materials; ASTM; fully framed curtain wall; installation specification.
Process mining approach to performance analysis and bottleneck finding in electronic processes (Case study: The billing process of hospital services)
by Fatemeh Mohammadi, Saeed Kazempourian, Iman Raeesi Vanani
Abstract: Today, organisations are getting bigger and bigger. This creates a huge amount of event data. Using process-aware information systems such as enterprise resource planning, it is possible to record activities in the form of event logs. Organisations can use process mining to extract information from event logs and analyse business processes. Process mining is very important in terms of reducing costs, improving processes, and in particular reducing process time. This study focuses on practical features of process mining, namely process model discovery, performance analysis, and bottleneck finding. The case study is the billing process for healthcare services provided by a local hospital. The dataset was analysed using Disco. The results show that the process includes 5 main activities that had the most frequency. Also, registering a new application to check the type of insurance is a bottleneck. Redesigning this pathway can have a significant impact on process efficiency.
Keywords: process mining; process analysis; performance analysis; bottleneck analysis; business process management; BPM; Disco.
Modified multi-objective simulated annealing algorithm for scheduling a flow shop production system with setup times
by V. Anjana, M.N. Anish, Rajagopalan Sridharan
Abstract: The presence of setup times and multiple objectives makes the scheduling problem complex. This paper presents two algorithms namely; multi-objective simulated annealing (MOSA) and modified MOSA for the simultaneous minimisation of makespan and mean tardiness in scheduling a flow shop production system wherein setup times depend on processing sequence. The modified MOSA algorithm is developed by hybridising MOSA with variable neighbourhood search. Benchmark problems are used to conduct computational experiments. The analysis of the algorithms reveals that modified MOSA outperforms MOSA for the measures considered. Hybridisation improves the performance of MOSA. The proposed algorithms are applied on scheduling a real-world SDST flow shop and the results indicate superior performance of modified MOSA.
Keywords: flow shop production system; sequence dependent setup time; SDST; multi-objective simulated annealing; MOSA; variable neighbourhood search; VNS; hybridisation.
Clustering and identifying the Lean Six Sigma projects: higher education institutes
by Razieh Aghaie, Dariush Mohamadi, Arash Shahin
Abstract: Lean Six Sigma (LSS), is an effective quality improvement program. While the deployment of LSS in organisations is done with significant investment, it has many benefits. As to higher education institutes (HEIs), this system has not been applied in the manner it should be. Identifying an appropriate project requires a precise analysis of the data to make all the selected projects in line with the organisation strategy objectives, and with the least uncertainty rate in implementation. Actually, the concern is not merely the application of LSS, but also the successful implementation of the best improving project. In this study, 133 main processes were identified in the determined four zones of the University of Isfahan, and assessed using the five Lean Six Sigma indicators clustered in SPSS Clementine 12.0 S/W based on the viewpoints of the managers and professionals of the zones. 19 out of 133 processes were found critical, with higher priorities in defining the Lean Six Sigma projects. While clustering is an appropriate approach for the identification of higher education institutes, it is not possible through the common methods. Based on the evaluation of the involved managers and professionals, the proposed approach is efficient, practical, and dynamic.
Keywords: Lean Six Sigma; LSS; higher education institutes; HEIs; identifying the LSS projects; clustering.
Prioritization of key readiness factors to adopt industry 4.0 in manufacturing organizations using select MCDM approaches
by Rajesh Attri, Vikas .
Abstract: Industry 4.0 is the utmost substantial matter of concern for manufacturing organisation these days. Every manufacturing organisations readiness for Industry 4.0 can be measured by a list of necessary factors (known as key readiness factors). Finding the key readiness factors (KRFs) is not the only required task but it is also an extremely important job to prioritise those KRFs because the importance and requirement of KRFs is different for different industries. So, the main objective of this project is to explore and prioritise the KRFs of Industry 4.0 based on certain performance measures, i.e., benefits of adopting Industry 4.0. For this purpose, KRFs and performance measures (benefits) have been explored through literature study and experts opinions. Afterwards, weightage of performance measures have been computed using fuzzy best worst method. Then, different MCDM approaches namely ORESTE, OCRA, ARAS, CODAS have been used to prioritise the identified KRFs based on certain performance measures. The obtained results of current work will serve as information bank for the top management of manufacturing organisation to know and deploy the significant KRFs of Industry 4.0 in their implementation strategy.
Keywords: Industry 4.0; key readiness factor; KRFs; ranking; ORESTE; operational competitiveness rating analysis; OCRA; ARAS; CODAS.
Benchmarking COPRAS and TOPSIS approaches for optimization of FDM process parameters: A case of an automotive component
by Ramesh P, S. Vinodh
Abstract: Fused deposition modelling (FDM)-based additive manufacturing (AM) process is inevitable for new product development and prototype fabrication. This paper presents the fabrication of bevel gear for an automotive application using FDM technology. This article aims to develop a sustainable automotive prototype component through FDM-based AM process with optimised process parameters. In this study, build time (BT), energy consumption (EC), and support material consumption (SMC) have been optimised for the FDM process. Four input parameters with two levels have been investigated for the automotive component manufactured using FDM process. For optimisation, Taguchi L16 orthogonal array has been done, and ANOVA statistical tool was used to find significant factors and contribution percentage. Complex proportional assessment (COPRAS)-based MCDM methodology was used to find the best experimental run. Technique for order preference by similarity to ideal solution (TOPSIS) was used to validate the results.
Keywords: fused deposition modelling; FDM; additive manufacturing; multi-criteria decision making; MCDM; Taguchi method; TOPSIS; complex proportional assessment; COPRAS; energy consumption.
Efficient response by manufacturing industries towards core technologies, benefits, current status, and barriers to implementing Industry 4.0 concept
by Dheeraj Nimawat, B.D. Gidwani
Abstract: In the manufacturing sector, the Industry 4.0 concept is viewed as the contemporary avenue. Industry 4.0 is the latest innovation in an organisations mechanisation and information exchange capabilities. Fortunately, very few understand how industries, particularly in emerging economies, view the positive impact of Industry 4.0 core technologies on improving industrial efficiency. The studys analysis approach was examined by employing the questionnaire as a data collection instrument by surveying and interviewing experts from 175 Indian manufacturing industries. This survey examines the level of execution of Industry 4.0s core technologies and the level of readiness of manufacturing industries. It also rates barriers towards Industry 4.0 implementation and benefits gained through implementing Industry 4.0 by the Indian manufacturing sector. The surveys preeminent purpose is to examine the level of execution and awareness of Industry 4.0 in Indian manufacturing industries, the evolution of effective approaches, relevant individuals, and alertness. This research serves as unique inception for executives/stakeholders to grasp the Industry 4.0 concept and highlight the key barriers, core technologies, readiness, and benefits of Industry 4.0 implementation.
Keywords: advanced manufacturing technologies; fourth industrial revolution; readiness; challenges; augmented reality; big data and analytics; manufacturing industries; developing countries.
Demand forecasting using modeling and comparison of series and parallel structures of SARIMA and SMLP
by Maryam Bahrami, Mehdi Khashei, Atefeh Amindoust
Abstract: One of the problems in demand management is the change in demand, which causes uncertainty in the amount of production. Therefore, companies forecast demand in order to eliminate the uncertainty. There are several ways to predict demand. Series and parallel composition structures are the most important and accurate of these methods in prediction. The purpose of this paper is to model two series and parallel structures and compare the performance of these structures with each other and with their individual models. In this study, using a combination of seasonal autoregressive integrated moving average (SARIMA) and seasonal artificial neural network (SANN) widely used models, demand forecasting has been done in two Taiwan machinery data set and Soft drinks data set. The results show that the performance of the proposed hybrid model is more accurate than the one-component models and also in the comparison of series and parallel structures, it is observed that on average the performance of the parallel structure in the field of demand forecasting produces more accurate results.
Keywords: demand forecasting; parallel model; series model; seasonal autoregressive integrated moving average; SARIMA; seasonal artificial neural network; SANN.
Role of Sustainable Green Development through AMMT in improving performance of Manufacturing Industries
by CHANDAN DEEP SINGH, Harleen Kaur
Abstract: Today, many production strategies are influenced by quality, cost, delivery, design, and responsiveness. Firms have traditionally pursued these goals through the adoption of production practices, such as simultaneous engineering, increased efficiency by eliminating errors, reducing setups, etc., and staff development. This paper analyses the data. Describes the analysis done to get the results you want. PASW is a mathematical tool used to apply different mathematical strategies. The various mathematical methods used are: t test, ANOVA, Chi-square, factor analysis, correlation, and regression. Recent developments in the industry suggest another way to achieve better productivity, i.e., industrial regulators and trained organisations must encourage innovation in a variety of high-tech production environment. Success in the industry depends on the production facilities and competitive advantage gained by the industry due to better quality and reliability.
Keywords: t-test; ANOVA; chi-square; factor analysis; correlation; regression; sustainable development; green engineering; advanced manufacturing techniques; advanced maintenance techniques.
Case study based MCDM evaluation of Manufacturing Competency and Strategic Success
by Chandan Deep Singh
Abstract: Presently, industry is facing a good competition due to emergence of foreign manufacturing players in the country. There is a large base for manufacturing industries in India and thus, wide ranges of products are produced. In present times, organisations are facing drastic and aggressive competition for developing technologically sound innovative products, meeting stringent customer requirements, adopting IT-based design and production systems, evolving new organisation structures and evolving safe working environments. Thus, organisations need to accrue strategic skills to be able to succeed in the highly competitive environment. Organisational competitiveness results from the difference between the value that an organisation generates for its various stakeholders and the cost of creating that value. High level of competitiveness results from working with lower expenses than contenders for comparable advantages, or by offering customers with distinct advantages rather than incurring higher expenses.
Keywords: manufacturing competency; strategic success; analytical hierarchy process; AHP; TOPSIS; VIKOR; case study.
Evaluating Mobile Wallet Acceptance Factors Using Best Worst Method
by Ashwarya Kapoor, Rajiv Sindwani, Manisha Goel
Abstract: The aim of the present research is to propose a novel multi-criteria approach for assessment of mobile wallet (m-wallet) key acceptance factors. Six critical acceptance factors are identified through extensive literature review and discussion with an expert. A new important factor influencing acceptance of m-wallet called policy and regulatory measures has been proposed by authors. This has resulted in total of seven key acceptance factors. A relatively new and efficacious multi-criteria decision-making technique named best worst method (BWM) has been applied to evaluate and rank the key acceptance factors. Sensitivity analysis has been conducted to examine the reliability of the study. Analysis revealed perceived security and trust as the top most factor leading to acceptance of m-wallet among consumers. Examination of the literature indicates that this study is among the pioneer studies to prioritise key acceptance factors of m-wallet acceptance using BWM. The focus on key acceptance factors proposed in this study will help m-wallet service providers to improve their business processes. This will eventually help them to increase m-wallet acceptance.
Keywords: mobile wallet; key acceptance factors; best worst method; BWM; multi-criteria decision-making; MCDM; prioritisation.
Modelling the factors affecting the QOL in the employees of manufacturing organizations in India using ISM approach
by Vineet Jain, Puneeta Ajmera, Mohammed Suhaib
Abstract: Quality of work life (QoWL) is a key aspect for workers to contribute both for their personal well-being and for their organisations growth and sustainability. Literature indicates an urgent need for an optimised model that can anticipate linkages among the elements impacting QoWL. The aim of present study is to identify the key factors that affect the sensitivities of employees of the manufacturing sector regarding the quality of work-life. The factors that influence the QoWL have been analysed by ISM interpretive structural modelling methodology. Driving and dependence power of factors is analysed by MICMAC analysis. The outcome reveals that fair and impartial compensation policy, welfare services and facilities in the organisation and safe and healthy working conditions are high-level factors. A comprehensive model of the relationship between these factors has been established in this research so that the QoWL of these employees can be improved. By enhancing working conditions and the culture, an organisation may improve its employees quality of life and loyalty. Furthermore the employers will be benefitted more as efficient and effective production will lead to enormous outputs which would invariably impact on the profits of the organisation and make it an eternally sustainable venture.
Keywords: quality of work life; QoWL; interpretive structural modelling; ISM; MICMAC analysis; manufacturing organisations; India.
Impact of (ERP) Systems on the Internal Auditing Effectiveness in Light of Governance Mechanisms: Evidence from Jordan
by Ashraf Bataineh, Ashraf Alrjoub
Abstract: This study aims to identify the impact of enterprise resource planning (ERP) systems on internal audit effectiveness, in light of governance mechanisms in Jordanian industrial companies. The study used the descriptive analysis method to extrapolate data from literature and previous studies related to the study topic. In addition, the analytical method was utilised in distributing (330) questionnaires to members of Jordanian industrial companies that implement ERP systems. Study results found an impact of the dimensions of ERP systems (conformity of organisational operations, supporting senior management, IT department efficiency, business process reengineering) on the effectiveness of internal audit, in light of governance mechanisms, in Jordanian industrial companies. Therefore, the study recommended the need to generalise ERP systems in all business organisations and allow all employees to participate in every step of the implementation; and not just its users, the authorities and responsibilities of all parties related to the implementation of ERP systems in those companies should be specified.
Keywords: enterprise resource planning systems; ERP; governance mechanisms; internal audit; Jordanian industrial companies; Jordan.
Ecopreneurship : A systematic review
by Mohammad Alawamleh, Bushra Mahadin, Layan Al Nimer, Dana Suliman Marji
Abstract: This paper explores how human activities relating to capitalism caused catastrophic environmental issues faced today, including pollution, global warming, desertification and diseases. It considers the potential solution of ecopreneurship to address climate change and other environmental issues with an extensive systematic literature review in the neglected research context of Jordan. The paper aims to encourage other researchers to study this topic further while taking into consideration Jordanian culture and market factors, identifying several gaps in the literature that need to be filled in future research, in order to enlarge knowledge on ecopreneurship.
Keywords: ecopreneurship; education; environment; sustainability.
Multi echelon fuzzy inventory model for perishable items in a supply chain with imperfect production and exponential demand rate
by S. V. Singh Padiyar, Naveen Bhagat, S.R. Pundir, Neha Punetha
Abstract: In this paper, an integrated inventory model for perishable item is developed from the supplier, manufacturer and buyers point of view. Generally, the value of perishable items is determined by its quality. Demand is a major factor in supply chain system and it may increase due to consumers preference. In reality, it is seen that demand and production of perishable item is almost uncertain because at the time of production, there are possibilities of being imperfect production. So the parameters that are affecting the quantity of demand and production rate are taken as triangular fuzzy numbers. Three different methods are used to defuzzify the total profit function. This model has been accomplished with the different rate of deterioration for raw material and finished goods. The change in deterioration rate of finished goods leads to continuous increase in total profit and cycle time, and the change in deterioration rate for raw material leads to gradual decrease in total profit as well as cycle time. The setup has been detected numerically to obtain an optimal solution and also the sensitivity analysis is performed.
Keywords: supply chain; perishable item; deterioration; exponential demand rate; imperfect production; triangular fuzzy number; TFN.
A Study to Identifying the Motivational factors for Lean Six Sigma Implementation in Indian SMEs
by Harsimran Singh Sodhi
Abstract: To remain competitive, organisations prefer the implementation of some of the effective waste management technique for the purpose of increasing their profits. Lean Six Sigma is one of the most effective techniques identified for the purpose of waste reduction. In the present study the various motivational factors for the implementation of Lean Six Sigma has been identified and further a questionnaire on the licker scale of five has been floated among various manufacturing SMEs throughout India. The collected responses are further gathered in a compiled data sheet and further the analysis on the gathered data has been done. Mean values of the available data are calculated on the basis of which box plots, Interval plots and histogram plots were plotted by using Minitab software.
Keywords: Lean Six Sigma; histogram plot; interval plots.
The ways for reducing food losses in supply chains
by Denis Syromyatnikov, Tatyana Sakulyeva, Marina Ermakova, Gulmira Samiyeva, Rodion Rogulin
Abstract: The article presents ways to reduce losses in supply chains using agricultural products supplies as a case study. The relevance of the topic under consideration stems from fact that, regardless of the region or the country, food losses can equal more than 30% throughout the supply chain. The study aimed to determine how important are individual components of the logistics infrastructure and information systems for managing food supply chains in developed and emerging markets. It was found that the structure of losses in developed and developing economies differs. The study hypothesis that the improvement of logistics services and supply chain manageability reduces losses in food supply chains was statistically confirmed. Using the example of Russia and Germany, it was revealed that an increase in investments in highly specialised supply chain management software and the advancement of logistics infrastructure are able to reduce losses in food supply chains.
Keywords: supply chains; food; SCM software; logistics infrastructure.
Improving the Manufacturing Process Using Industry 4.0 Tool: A Simulation-Based Approach
by Marjaneh Alsadat Seyyedrezaei, Mohsen Alvandi
Abstract: One of the pillars of the progress in the Fourth Industrial Revolution is the use of decision support tools such as simulation. Therefore, this research aims to improve the manufacturing process based on lean solutions through simulating. The authors developed several models by a discrete event simulation approach to analyse the different scenarios and used the ranking method to select the best one. The findings showed that following lean solutions can increase the average throughput by 24.88%, reduce the distance travelled by the parts up to 63% and decrease the lead time by 52%. This research is the first attempt that evaluated the effects of the concurrent use of four lean manufacturing tools on the production process improvement in an auto parts supplier company. The simultaneous use both increases the complexity of simulation models and brings the results very close to reality. So, it gives the article significant value.
Keywords: discrete event simulation; DES; process improvement; scenario analysis; decision support tools; Fourth Industrial Revolution; lean principles; AnyLogic Simulator Software; cell production.
Employee Voice as a Mediator Between Leader-Member Exchange and Creative Performance: Empirical Evidence from the Middle East
by Silva Karkoulian, Kevin Sevag Kertechian, Puzant Balozian, Matthieu Boulos Nahed
Abstract: This paper examines leader-member exchange (LMX), employee voice, and creative performance (CP) to investigate if the relationships between them still hold true in an international crisis. We collected 301 surveys from employees within the banking sector in Lebanon whose participation was voluntary and anonymous. We used structural equation modeling to analyse the collected data. The results indicate that voice is a full mediator between LMX and CP. Furthermore, in the mediation model, the relationship between LMX and CP becomes negative, indicating the existence of competitive mediation, which is a result not found in pre-pandemic times. Competitive mediation indicates that other factors are essential to employee performance during a pandemic. There is a need for something more than just a healthy LMX and employee voice, such as providing extra resources and training support for remote work and securing a healthy mental and emotional work environment.
Keywords: leader-member exchange; LMX; employee voice; creative performance; banking sector; Lebanon; COVID-19.
Demand management process assessment in food supply chains: an empirical study in coffee supply chains from Peru
by Rossana Flores, Eileen Lazaro, Edgar Ramos, Phillip Coles
Abstract: High demand management uncertainty and price volatility, food spoilage and other wastes affect operational performance across the food supply chain. The demand management process of the food supply chain can drive improved sourcing and demand fulfilment, minimising the effects of demand variability and meet customer demand. This research creates an evaluation tool based on a literature review of the main processes of demand management in the supply chain. This study evaluates aspects of three principal Peruvian production centres. Data was obtained from farmers, cooperatives, associations, suppliers, intermediaries, and exporters. The results show none of them has yet managed to cover all relevant aspects of demand management, that is, there are still strategic and operational areas in need of further development. Furthermore, with input of experts, we provide a greater understanding of the coffee industry, and other agribusiness sectors of other emerging market economies.
Keywords: demand management; supply chain; process assessment; food supply chain; coffee.
AN INTEGRATED ROBUST OPTIMIZATION APPROACH TO CLOSED-LOOP SUPPLY CHAIN NETWORK DESIGN UNDER UNCERTAINTY(THE CASE OF THE AUTO GLASS INDUSTRY)
by Maryam Kolyaei, Adel Azar, Ali Rajabzadeh Ghatari
Abstract: In this paper, we propose an integrated model that has two stages. In the first stage suppliers and subcontractors are evaluated with a fuzzy method based on proposed qualitative set of criteria. The output of this stage are utilised as the input of the next stage. In stage two, a multi-objective mixed-integer linear programming model is proposed considering four conflicting objectives. The model is developed using robust programming to investigate the effects of uncertainty in customer demand. The model is able to: 1) select the best suppliers and subcontractors based on established qualitative and quantitative criteria; 2) allocate orders to them; 3) determine the optimal number of parts and products in the network. To motivate the practical aspect of the model in real-world applications, we applied the model to an auto glass company. The results revealed that the model is cost-efficient for CLSC network designs and can control the supply chain uncertainties.
Keywords: closed-loop supply chain network; CLSC; supplier and subcontractor selection; robust optimisation; fuzzy approach.
Fuzzy MCDM Approach for Evaluation the Drivers for Green Manufacturing Implementation in Indian Manufacturing Industries
by Jasvinder Singh, CHANDAN DEEP SINGH, Dharmpal Deepak
Abstract: Environment friendly and green products are built on the foundation of green manufacturing companies. When it comes to adopting and enforcing renewable manufacturing standards through SMEs, most manufacturing industries face a variety of challenges. The regeneration of manufacturing processes and the implementation of environmentally friendly operations in the industrial sector are both examples of green technology. A number of studies have been undertaken in this area of green manufacturing, and researchers have recommended various elements that affect the manufacturing process; however, no studies exists that show how and in what order these elements must be adopted by manufacturing organisations. This study is unique in that it identifies the factors with the help of MCDM approachs that drive green manufacturing and suggests the steps that manufacturing companies should take to become green manufacturing organisations and, as a result, will be capable for producing green and environment friendly products.
Keywords: green manufacturing; GM; SME; multi-criteria decision-making; MCDM; fuzzy AHP; fuzzy TOPSIS.
Impact of Knowledge Management on Accounting Information Quality in Light of Electronic Publishing at the Jordanian Insurance Companies
by Ashraf Alrjoub, Ashraf Bataineh, Ibrahem Al Bataineh
Abstract: This study aims to reveal the impact of knowledge management (KM) on the accounting information quality in light of the electronic publishing at the Jordanian insurance companies, by implementing three scales, one for KM, one for electronic publishing, and another one for the accounting information quality on a random sample that includes 263 members of company managers, assistant managers, heads of administrative and financial departments, and accountants working at Jordanian insurance companies. Results of the current study showed an impact of the KM dimensions on the accounting information quality, in light of electronic publishing. Therefore, the study recommended scientific and professional bodies the need to develop guidelines and issue proposals to ensure organising the electronic publishing mechanism, and guaranteeing the protection of accounting information published through websites, in order to achieve a reasonable degree of validity and reliability of accounting information.
Keywords: accounting information quality; electronic publishing; Jordanian insurance companies; knowledge generation; knowledge management; KM; knowledge transfer; store knowledge.
Assessment of Fit Manufacturing Readiness in viewpoint of Industry 4.0 using Grey Theory Approach: A Case Study
by Suraj Kumar, S. Vinodh, Parthesh Agarwal, Pratyush Kumar Das
Abstract: Fit manufacturing was developed by combining lean, sustainable and agile manufacturing to tackle budding competition from low-labour cost countries and by considering shifting customer demands. Fit manufacturing also helped industries in making a successful shift towards Industry 4.0 thereby linking four manufacturing themes: strategy, leadership, process and technology. The goal of this study is to assess fit manufacturing readiness in a heavy engineering industry in viewpoint of Industry 4.0 utilising Grey theory approach. This paper presents readiness evaluation of fit manufacturing through 86 sub-dimensions identified from literature review clustered into nine dimensions. Expert inputs are obtained as linguistic terms which are converted into Grey numbers and used to calculate overall Grey performance index (OGPI). Grey performance importance index (GPII) was further calculated to recognise ill-performing areas in the industry. Finally, it was observed that based on readiness level assessment of fit manufacturing, the case industry required further improvements.
Keywords: fit manufacturing; Grey theory approach; GTA; heavy engineering industry; Industry 4.0; overall Grey performance index; OGPI; Grey performance importance index; GPII.
Supplier relationship management process assessment in food supply chains: an empirical study in coffee supply chains from Peru
by Rajiv Sanchez, Bryan Reyes, Edgar Ramos, Phillip Coles
Abstract: Supplier relationship management (SRM) best practices can improve supply chain performance and create competitive advantages by increasing customer value. The SRM process in food supply chains (FSC) enable closer customer relationships, promote trust and avoid potential problems, and enhance cooperation and problem solving, but SRM process studies in FSCs have been limited. The purpose of this paper is to measure and evaluate the SRM process in FSCs. Through a literature review and inputs from practitioners, the SRM process at three Peruvian coffee centres were evaluated. The results show that in order to successfully improve the SRM processes changes must be implemented. This paper contributes to better understanding of the SRM process within the Peruvian coffee supply chain.
Keywords: supplier relationship management; SRM; supply chain; process assessment; food supply chain; FSC; coffee.
PRIORITISING CRITICAL SUCCESS FACTORS OF SUSTAINABLE REVERSE LOGISTICS FOR E-COMMERCE ORGANIZATIONS IN INDIA - MCDM APPROACH
by SALONI CHITKARA, Saboohi Nasim, Susmi Routray, Sunayana Jain
Abstract: In todays global market, achieving cost leadership and quality assurance are the common concerns for every organisation including e-commerce, but there should be due consideration to reduce the negative effect on the environment. Hence, organisations should focus on sustainable reverse logistics using a triple bottom line approach. This study focuses on identifying and prioritising the critical success factors of sustainable reverse logistics with respect to e-commerce organisations .In the first phase ,a qualitative study was done to identify the critical success factors which enable organisations to attain potential benefits. In the second phase, they were prioritised using an analytical hierarchy process (AHP) approach .Through analysis economic factors were found to be the most important factors followed by environmental and social factors. The results also provided an insight into the global ranking of all the critical success factors.
Keywords: reverse logistics; sustainability; e-commerce; analytical hierarchy process; AHP.
MULTI-RESPONSE OPTIMIZATION OF MACHINING PARAMETERS IN WEDM USING HYBRID DESIRABILITY BASED TOPSIS CONCEPT
by Bikash Ranjan Moharana, Kasinath Das Mohapatra, Kamalakanta Muduli, D.K. Biswal, Tapas Kumar Moharana
Abstract: The present study is aimed to find the optimum parameters combination, which influences the wire electrode discharge machining (WEDM) process during machining through the use of a hybrid optimisation technique, desirability-based technique for order of preference by similarity to ideal solution (TOPSIS). It is a new, fast and relatively simple method used for the optimisation of material removal rate (MRR) and kerf-width simultaneously. The results recorded a 13.78% of overall improvement in the machining performance, which may use as a benchmarking for this process. The R2 and adj. R2 values obtained from the analysis of variance (ANOVA) i.e., 87.74% and 80.07% respectively concludes the greatest adequacy of the model. Microstructural analysis of wire electrode shows that the formation of few cracks due to interaction of the sparks and the ultrasonic vibrational waves during the high speed movement of wire electrode, resulting in improved circulation of the dielectric medium, thereby speeding up the ejection of the melted material from the workpiece.
Keywords: wire-EDM; material removal rate; MRR; kerf-width; analysis of variance; ANOVA; desirability-based TOPSIS.
EXECUTION MEASURES OF A NON-MARKOVIAN QUEUING SYSTEM IN AVIONIC COMMUNICATION
by K. Karthikeyan, S. Maragathasundari, P. Manikandan
Abstract: In this queuing system of avionic communications, the clients (input) appear into the system in batches. Their arrival follows the Poisson ascension. Service time follows general distribution. The service here is provided in a single management phase. Before the main service, all clients must go through the two preparation phases of server management. Second stage pre-processing management is given after a delay. During this period, customers must line up and then gets the service. In this model, an idea of reneging and restricted admissibility is proposed. To minimise the server interruption, vacation concept is introduced after the completion of service. This type of queuing situation is solved through supplementary variable strategies. Probabilistic generating function of the queue size, idle time of the server, utilisation factor and various execution measures are derived. Model is discussed in detail through numerical analysis, practical application and mathematical demarcation methods. The graphic survey gives an accurate measurement of the limits attempted in this survey.
Keywords: non-Markovian queuing problem; batch arrival; setup time stages; supplementary variable technique; reneging; restricted admissibility; vacation interruption; service interruption.
Implementation Framework for Cellular Manufacturing System Using BWM Multi-criteria Decision Making
by J. Jaya Prakash, E. Madhavan Pillai, Vikrant Sharma, Mukesh Kumar
Abstract: Manufacturing industries are enhancing their production and supply chain in todays competitive market environment using the new manufacturing technology and system. The cellular manufacturing system (CMS) has been proven to be the most suitable technology for batch manufacturing organisations to enhance operational performance. The present study aims to rank the significant factor relevant to CMS implementation. Four dimensions and 17 CM factors validated by industry experts were identified based on a literature review. Then, in evaluating factors, the best worst method (BWM) is proposed. Using sensitivity analysis, the results are validated. The proposed model provides a simple and easy way for companies to deal with CMS effectively. The respondent managers found an essential factor to be employee training. The strength of the current study is that it is one of the first few to be carried out to analyse CM implementation factors.
Keywords: cellular manufacturing system; CMS; best worst method; BWM; critical factor.
Selection of fighter aircraft by using multi attributes
decision making methods
by Kunal Sanjiv Rajurkar
Abstract: Fighter aircraft is one of the fundamental working resource of air
force which plays a crucial role in the completion of operations and increasing
the strength. Selection of fighter aircraft is one of the big task for defense
ministry of any country. The quality of aircraft changes with the variation in
attributes and a decision-making procedure is needed for selection. In order to
make the process of fighter aircraft selection easy and precise, multi criteria
decision-making methods can be applied effectively. The selection process is
carried by considering specifications of fighter aircraft such as maximum
speed, ferry range, maximum payload and acquisition cost. The present work
gives the selection procedure for selection of best fighter aircraft using three
selected methods viz: using analytical hierarchy process, multi-objective
optimisation by ratio analysis method, and Viekriterijumsko Kompromisno
Rangiranje, etc. for ranking the aircraft. The rankings of fighter aircraft are
compared based on their properties. Thus, the proposed methods helps to
evaluate and rank the fighter aircrafts
Keywords: fighter aircraft selection; analytical hierarchy process;
multi-objective optimisation by ratio analysis method; viekriterijumsko
kompromisno rangiranje method.
Implementation framework for cellular manufacturing
system using BWM multi-criteria decision making
by Jeyaraju Jayaprakash
Abstract: Manufacturing industries are enhancing their production and supply
chain in todays competitive market environment using the new manufacturing
technology and system. The cellular manufacturing system (CMS) has been
proven to be the most suitable technology for batch manufacturing
organisations to enhance operational performance. The present study aims to
rank the significant factor relevant to CMS implementation. Four dimensions
and 17 CM factors validated by industry experts were identified based on a
literature review. Then, in evaluating factors, the best worst method (BWM) is
proposed. Using sensitivity analysis, the results are validated. The proposed
model provides a simple and easy way for companies to deal with CMS
effectively. The respondent managers found an essential factor to be employee
training. The strength of the current study is that it is one of the first few to be
carried out to analyse CM implementation factors.
Keywords: cellular manufacturing system; CMS; best worst method; BWM;
Effect of Graphene Reinforcement on the Mechanical Characteristics and Machining Performance of Aluminium Metal Matrix Composite
by Manojit Das, Soumya Ranjan Parimanik, Trupti Ranjan Mahapatra, Debadutta Mishra
Abstract: This paper investigates the effect of graphene reinforcement on the mechanical properties and machinability of aluminium metal matrix composite (MMC). The MMCs are synthesised from pure aluminium matrix by reinforcing graphene particles with 0.5 wt.%, 1 wt.%, 2 wt.% and 3 wt.% using stir casting process. The load bearing capacity in compression and the hardness is observed to be improved with graphene reinforcement. The optimisation of multiple performance characteristics [material removal rate (MRR), surface roughness (Ra) and noise] is carried out in turning of graphene-based Al-MMC using polycrystalline diamond (PCD) carbide-insert tool under dry environment and compared with that of the pure aluminium. Cutting speed, feed rate, depth of cut and wt.% of graphene are considered as the controlled parameters. Response surface method (RSM) is used for the design of the experiment and optimisation. The wt.% of graphene reinforcement is found to improving the surface quality and reducing the noise during dry-turning.
Keywords: aluminium MMC; graphene; stir casting; dry turning; optimisation; response surface method; RSM.
Selection of Fighter Aircraft by using Multi Attribute Decision Making Methods
by Kunal Rajurkar, Sanket Khade, Onkar Sawant, Mangesh Dobe, Avinash Kamble
Abstract: Fighter aircraft is one of the fundamental working resource of air force which plays a crucial role in the completion of operations and increasing the strength. Selection of fighter aircraft is one of the big task for defense ministry of any country. The quality of aircraft changes with the variation in attributes and a decision-making procedure is needed for selection. In order to make the process of fighter aircraft selection easy and precise, multi criteria decision-making methods can be applied effectively. The selection process is carried by considering specifications of fighter aircraft such as maximum speed, ferry range, maximum payload and acquisition cost. The present work gives the selection procedure for selection of best fighter aircraft using three selected methods viz: using analytical hierarchy process, multi-objective optimisation by ratio analysis method, and Viekriterijumsko Kompromisno Rangiranje, etc. for ranking the aircraft. The rankings of fighter aircraft are compared based on their properties. Thus, the proposed methods helps to evaluate and rank the fighter aircrafts.
Keywords: fighter aircraft selection; analytical hierarchy process; multi-objective optimisation by ratio analysis method; viekriterijumsko kompromisno rangiranje method.
Developing Process Mining Approach to Model the Organized Processes in a Simulated System
by Rasool Sahragard, Reza Kamranrad, Ehsan Mardan
Abstract: Knowledge is a driving force for achieving strategic purposes of an organisation because it simplifies decision-making process. Today, organisations need to identify their processes in competitive business environments so managing these processes acts customer-oriented and in case of necessity improves their processes and makes a more agile environment for their business. Process mining have ability to extract helpful information from business processes and evaluate them from various aspects and finally use them to customer satisfaction. The purpose of this paper is the importance of
recording information systems according to process in organisation and following explains how to discover the process. To this aim, we investigate research assumptions and then perform simulation of visitors organisational behaviours using MATLAB. Then we will refine the output data of simulated models and change them into an integrated and understandable data for process mining. Finally using DISCO software, we discover happened processes and analyse them.
Keywords: data mining; process mining; business process; knowledge management; DISCO software.
Study on the Queuing Characteristics of MX /G/1 Queuing model of Stages of Service with Multi vacation Policy and Setup time Phase
by Vignesh Perumal, S. Srinivasan, S. Maragathasundari, C. Swedheetha
Abstract: In this study, we look at a mass arrival queuing system that offers three levels of service to customers. The first-come, first-served (FCFS) principle applies to everyone who enters the queuing mechanism. The arrival process is supported by the Poisson distribution, and the service time continues to follow a general distribution. Between the phases of service in this queuing process, the concept of diverse vacation policy initiatives is pursued in two places, allowing the system to undertake necessary basic maintenance, resulting in the system running smoothly and without disruption. A stage of preparation time is spearheaded shortly before the third phase of service in order to accomplish the service as quickly as feasible. In this queuing system, the vacation policy and setup time are critical. The probability generating function is used to calculate the duration of the steady state of various system states in the aforementioned queuing problem. There are many other queue performance measures available. A review of the analysis report aids the systems efficiency and profitability.
Keywords: queuing strategy; phases of facility; server vacation; optional vacation; setup time and operational research method.
Experimental investigation on the performance variations of three different work piece materials in EDM with variation of thermo-physical properties
by Sunita Sethy, Rajesh Kumar Behera, Jaydev Rana, Kamalakanta Muduli
Abstract: The machining performances of Ti-6Al-4V, SS316, and WC work pieces were investigated in this study employing electro-discharge machining (EDM) while taking various thermo-physical parameters into consideration. Surface roughness, material removal rate, tool wear rate, radial overcut, surface fracture density, and surface hardness have all been explored utilising a variety of input parameters, including discharge current, pulse on time, and pulse off time, to determine their respective values. In the present research work three different work-piece materials with different thermo-physical properties such as thermal conductivity, thermal diffusivity and melting point have been considered which is new as compared to earlier research work. Among the materials employed in the creation of the work pieces, there is a wide range of performance characteristics. When the current increases, the rate at which MRR, TWR, and radial overcut in SS316 go up is much faster than in Ti-6Al-4V and tungsten carbide.
Keywords: electro-discharge machining; EDM; material removal rate; MRR; tool wear rate; TWR; surface roughness; surface crack density; surface hardness.
Assessment of Musculoskeletal Disorder in Food Service Industry in Emerging Economies
by Kamalakanta Muduli, Shoeb Ahmed Syed, Venkata P. Kommula, Bikash Ranjan Moharana, Bikash Behera
Abstract: Workers in Papua New Guineas (PNG) industries, like those in developed and developing countries, suffer from musculoskeletal disorders (MSD). However, in emerging economies like PNG, the issue of work-related musculoskeletal disorders (WMSDs) in industries/factories has gotten little attention. Following a critical inspection at a food service unit in PNG, relevant data was gathered. Knees have a higher MSD risk for all 15 samples that were interviewed, according to evaluation data based on Cornell questionnaires. According to full body analysis data, body parts below the hip have a higher MSD score for both male and females, while the right knee has a higher MSD score for females. According to the P-chart analysis, 26.67% of the 15 workers have a higher MSD prevalence, while 73.33% have a lower MSD prevalence. Males, on the other hand, had a higher risk of MSDs than females, according to the findings.
Keywords: musculoskeletal disorder; MSD; food catering units; rapid upper limb assessment; RULA; rapid office self-assessment; ROSA; workplace safety; risk assessment.
A case study analysis for implementing a BPR project at a global ICT company
by Minwir Al-Shammari
Abstract: This paper involves an in-depth analysis of implementing a business process reengineering (BPR) project at a global information and communications technology (GICT) services company in the Middle East. GICT dominated its market without real competition for decades but woke up in a very turbulent market full of strong competitors and fully aware customers who are demanding and selective at the same time. It undertook a review and improvement of its services to achieve excellent customer service standards and stay ahead of competitors. The paper analyses the BPR adopted framework, transformation journey, business results, and issues and challenges. The study employs an exploratory case study design, where in-depth interviews, field observations, and official records for data collection. The new process and structure design of GICT promoted an entirely new way of thinking and achievement of several benefits, such as functional collaboration, alignment of organisational objectives, and integrated and cross-functional customer service.
Keywords: business process; organisational structure; process reengineering; digital transformation; business process reengineering; BPR; ICT.
Workplace Incivility and Frontline Employees' Capacity to Satisfy Customers: What Stands In-between
by Nguyen Hong Quan, Vu Phuong Linh, Pham Ngoc Anh, Vu Quynh Chi, Nguyen Kim Thanh, Duong Minh Hang
Abstract: Workplace incivility has exerted negative influences on employees well-being and led to lower service quality, the mechanism of which is yet fully explained by existing literature. This research aims to investigate the effects of three kinds of workplace incivility on frontline employees capacity to satisfy customers using conservation of resources (COR) theory and propose psychological capital (PsyCap) as a moderator. A questionnaire was distributed to 608 frontline employees in Vietnam working in four service sectors. Both CB-SEM and PLS-SEM were employed using SPSS, AMOS and SmartPLS softwares to analyse the measurement and structural models. Incivility from customers, coworkers, and supervisors has significant negative influences on FLEs capacity to satisfy customers that are partially mediated by emotional exhaustion and exhausted perceived organisational support. PsyCap partially moderates the effect of supervisor incivility on emotional exhaustion. The results recommend policies and intervention programs related to enhancing FLEs PsyCap.
Keywords: frontline employees; FLEs; workplace incivility; emotional exhaustion; perceived organisational support; POS; psychological capital; PsyCap; capacity to satisfy customers; CSC.
Designing and obtaining of organizational DNA model (Case study: Public organizations and companies in Isfahan province)
by Mohammad Mohsen Mirbagher, Sayyed Mohsen Allameh, Seyyedali Siadat
Abstract: The present study aimed to design a model for organisational DNA in public companies and organisations in Isfahan. The statistical population of the qualitative section included 15 public companies and organisations of Isfahan province, which were selected by a purposive sampling approach, and 384 employees were included in the quantitative section that were selected by the stratified random sampling method. The results of data analysis showed that information block could be explained in four dimensions (organic approach, optimal information monitoring, and conformity of the general evaluation of the organisation with the existential nature of the organisation), developing practical measures to evaluate performance, functional feedback, and information). Structure block could be explained in three dimensions (integrated process-focused structure, organic structure with the knowledge management approach, development based on the organisations mission). The motivational block and the right decision-making block could be respectively explained in one dimension (optimal motivation system) and two dimensions (participatory decision-making to develop employees and the organisation and implement a meritocracy system based on the real interest of the organisation and organisational stakeholders).
Keywords: organisational DNA; information; structure; motivators; decision making.
SUSTAINABILITY REPORTS: A THEMATIC ANALYSIS RELATED TO SUSTAINABILITY FACTORS
by Savita Sodhi, Anupam Ghosh
Abstract: Globally many industries have realized the importance of sustainability and sustainable development. Nowadays problems that are caused by the manufactured products have compelled organization to take the mandatory initiatives on triple bottom line. The sustainability approach shall be imbibed in the life cycle of the product to manufacture a sustainable product. Incorporation of sustainability factors not only leads to sustainable manufacturing but also leads to the improvement and development of sustainable product life cycle approach. The improvement in the sustainability factors will help manufacturing companies to draw a new perspective in achieving sustainable product life cycle approach during manufacturing (B2B). This further will make new pathways to establish relationship between various processes/systems at the manufacturing end, dealers, vendors, user end, etc. to make the business journey more sustainably profitable. The present research conducted helps the manufacturing senior management to develop policies to promote and to take care of the sustainability factors from product life cycle aspect.
Keywords: sustainability; product life cycle; manufacturing; sustainable product life cycle; thematic analysis; sustainability reports.
Analysis of Objective Criteria Weighing Techniques in Different MCDM Methods on Technological Competencies Factor Selection
by Harpreet Sharma, CHANDAN DEEP SINGH, Kanwaljeet Singh
Abstract: Firms operate in a world that is becoming increasingly technologically advanced. The manufacturing market in India is currently witnessing healthy competition, particularly from global giants. A dynamic spectrum of possibly viable technologies exists to meet future production requirements. Organisations must be aware of the capacity and competency maturity stage of manufacturing technologies in order to sustain competitive advantages. This article examines data quality using a variety of multi-criteria decision making (MCDM) methodologies. Using questionnaire survey data was collected and different factors had been finalised. As a result of the analysis, the factors that have a significant impact on the companys performance and competitiveness were determined. The effects and priority of each item have been given a ranking.
Keywords: AHP; competitiveness; technical competency; principle eigenvalue; consistency ratio.
Financial Knowledge and Online Payment Decisions of Generation Z Consumers: An Empirical Study Using SEM Approach
by Yuvaraja N, Swamy Perumandla
Abstract: Generation Z is the future work force, and their decisions will influence the future of nations. A model was developed to explore the impact of financial knowledge on the online payment decisions of Generation Z. Using a structured questionnaire, data was collected from Generation Z individuals in India. Goodness of fit is estimated by structural equation modelling using AMOS. The study hypotheses were tested by employing path analysis. Study findings indicate financial knowledge and online payment decisions have a strong association among Generation Z. Path analysis results revealed that financial knowledge dimensions such as numerical ability and return calculating ability are positively associated and interestingly, risk-taking ability is negatively associated with online payment decisions, which indicates that Generation Z considers online payments are not risky. This paper provides the novel contribution of showing the association between financial knowledge and online payment decisions of Generation Z and outlines future research directions.
Keywords: decision science; financial knowledge; online payment decision; Generation Z; financial decision; financial behaviour; behavioural finance and financial literacy.
THE IMPACT OF AI CHATBOTS ON CUSTOMER EXPERIENCE IN ONLINE RETAILING IN AN EMERGING ECONOMY
by Huong Trinh, Nguyen Thuy Hanh, Hoang Thi Doan Trang, Nguyen Thi Khanh Chi
Abstract: This study is undertaken to investigate whether companies can increase customer experience and satisfaction through AI chatbots in an emerging economy. This study uses customer data to test the impact of three chatbot dimensions on online experience. A questionnaire survey is used to collect data from 247 online customers in Vietnam. Empirical results indicate that chatbot customisation, perceived control, and interactive speed have a significant effect on cognitive experiential state while only chatbot customisation has impact on affective experiential state. Perceived control and interactive speed are found to have no effect on affective experience. Moreover, both components of customer experience (cognitive and affective experiential state) have significantly impacted online satisfaction. Based on these findings, this paper highlights the importance of chatbot on increasing customer satisfaction on the internet which further leads to their repurchase actions.
Keywords: AI chatbots; customer experience; online retailing; an emerging economy.
Fuzzy Expert Model for Evaluating Supply Chain Processes for Indonesian Frozen Tuna
by Elia Oey, Wesley Yonathan, Marcelino Dermawan, Johanes Ronaldy Polla
Abstract: Indonesia is well-known for its tuna production. To enrich its tuna processes and expand it to export markets, it is important for tuna players in Indonesia to have an assessment system for their processes. The study aims to develop guidelines for export quality frozen tuna for Indonesia tuna players. Data collection was done in Nizam Zachman Oceanic Fishing Port, one of the biggest ports in Indonesia. Critical activities in each of four key areas (catching, transporting, storing and processing) were identified by open questionnaires to tuna experts. The collected data was then cleansed and grouped as critical activities, and used as fuzzy input variables into a fuzzy expert system. The model was validated using analytical hierarchy process (AHP). The proposed FES model was then used as assessment tool for Indonesia tuna players in evaluating their processes to establish whether they are ready to serve export markets.
Keywords: analytical hierarchy process; AHP; export; fuzzy expert system; FES; tuna.
Application of Interpretive Structural Modelling for analysis of factors of Friction based Additive Manufacturing
by Ranjith Raj A, S. Vinodh
Abstract: Friction based additive manufacturing (FBAM) has gained popularity in recent years, with applications in a wide range of domains. FBAM process is highly suitable for aluminium alloys. Due to the high strength to weight property, aluminium alloy has significant applications in industry such as aerospace, marine and automotive domains. A structural model illustrating the interrelationship of factors could be developed to improve the effectiveness of FBAM. In this regard, this article describes the development of a structural model for FBAM using interpretive structural modelling (ISM) approach. The development of a structural model and MICMAC analysis revealed key influencing factors. According to the derived model, the factors
Keywords: additive manufacturing; friction-based additive manufacturing; FBAM; interpretive structural modelling; ISM; modelling; MICMAC analysis.
Qualitative analysis of core functional competencies in Indian manufacturing industry
by Rajdeep Singh, CHANDAN DEEP SINGH, Talwinder Singh
Abstract: Core functional competencies play a major role in the organisations for better competitiveness in the market. These provide a firm; capabilities so that it can perform quickly, with greater flexibility or with a higher calibre of reliability than competitors. For analysing these factors various tools and techniques are used like quantitative and qualitative analysis tools. This paper explores the study and analysis of the core functional competencies using various qualitative tools in multi criteria decision making techniques. During the analysis different factors have been identified and categorised on the priority basis using the MCDM techniques which can help the organisation through better insight of core functional competencies.
Keywords: technical competency; VIKOR; TOPSIS; EDAS; MOORA; SMART.
Benchmarking the financial performance of Indian commercial banks by a hybrid MCDM approach
by PAWAN KUMAR, DEERGHA SHARMA
Abstract: The current research has presented a hybrid multi-criteria decision making (MCDM) strategy to assess the financial performance of the ten major commercial banks operating in India from 2016
Keywords: financial performance; fuzzy AHP; TOPSIS; interval-valued TOPSIS; Indian commercial banks.
Fuzzy TOPSIS and fuzzy VIKOR based justification of factors affecting performance of manufacturing industry in north India
by Rajdeep Singh, CHANDAN DEEP SINGH, Talwinder Singh
Abstract: Manufacturing industries in India are under high pressure for their sustainability because of the competition given by other global giants in the market. To fight the competition companies are adopting various innovative ideas and new technologies. At this stage, core functional competencies can play a better role for the selection of optimal parameters. To find the influential factors, various decision-making methods are used. This paper deals with the selection of the alternatives which are important for the manufacturing industry in north India by using fuzzy TOPSIS and fuzzy VIKOR techniques. Different nine factors have been used for the study. Using the techniques ranking of alternatives has been done and preference is given.
Keywords: fuzzy TOPSIS; fuzzy VIKOR; core functional competency; sustainability; India.
Benchmarking the Metal additive manufacturing processes using integrated AHP
by Naveen Srinivas M, Vimal KEK
Abstract: The purpose of this paper is to propose an integrated MCDM approach for the selection of the best process from the five metal additive manufacturing (MAM) processes namely selective laser melting, direct metal laser sintering, laser engineered net shaping, electron beam melting, and wire arc additive manufacturing process at low production volume and high production volume scenarios. An integrated approach of the analytical hierarchy process (AHP) and preference ranking organisation method for enrichment evolution (PROMETHEE) is applied for the selection process. 24 criteria have been identified from the literature and divided into five criteria groups namely process capability, mechanical properties, process efficiency, process economics, and sustainability. Results have shown that the proposed integrated approach can accomplish the goal of this study. According to the authors knowledge there is no study considering both traditional criteria and sustainable criteria for the selection of the MAM process. This study will help the manufacturer to attain Sustainable development goals.
Keywords: metal additive manufacturing; MAM; AHP; PROMETHEE; traditional criteria; sustainable criteria.
Role of Industry 4.0 in manufacturing: An exhaustive literature review and future prospects
by Biswajit Mohapatra, Adarsh Rajpal, Akash Tarasia, Deepak Singhal, Sushanta Tripathy
Abstract: Industry 4.0 focuses on connecting the real world with the virtual world in real-time to increase production, boost productivity and increase growth exponentially all the while understanding and controlling every aspect of this production chain. The paper mainly illustrates the current advancements made in Industry 4.0 technologies and the possibility as well as the extent of its improvement in the near future while providing insights into the salient features of Industry 4.0 as well as comprehending and accomplishing the prerequisites of the same. A literature review was conducted systematically by taking into consideration the studies and findings of 222 academic articles. The paper explains most of the idolatry papers from many luminary researchers in the field based on the key components of Industry 4.0 diversely and descriptively along with graphs depicting the popularity of a trend for each key component of Industry 4.0.
Keywords: Industry 4.0; manufacturing system; cyber-physical system; CPS.
Crisis Leadership and Automobile Sector: An Indian Perspective
by Simanchala Das, Yandrapragada Navya Sree, Mehul Kumar Jain, Gudiwada Gnana Venkata Sivasai, Pasupuleti Vidya
Abstract: The research aims to explore the concept of crisis leadership in the context of the automobile sector during the COVID-19 pandemic. Based on cues from extant literature, this study identified crisis leadership traits and behaviours. The opinion survey method was followed to draw responses from 223 employees of selected automobile manufacturing units in India. To meet the research objectives, the RIDIT technique was applied to prioritise and rank the identified dimensions. The empirical findings provide new insights regarding the crisis leadership domain and also aid effective strategy formulation from the organisational perspective. This study can help to understand the importance of crisis management capabilities to tackle complex and volatile business situations.
Keywords: crisis; leadership; COVID-19; automobiles; Indian market.
Modelling the Critical Criteria for Leagile Production System using a Hybrid Approach.
by Soumil Mukherjee, Amber Batwara, Vikram Sharma
Abstract: Competition and demand for readily feasible, durable, and sustainable goods are increasing worldwide. The last few months have been challenging for the manufacturing organisations world over. Organisations are turning to approaches such as computer-integrated manufacturing, lean, agile, Industry 4.0, and supply chain management to address these challenges. Leagile manufacturing combines the concepts of lean and agile production systems. Using popular relational techniques such as interpretive structural modelling (ISM) and interpretive ranking process (IRP), this paper aims to assess and present the critical criteria for implementing the leagile production system. ISM and IRP have been employed to examine the contextual relationship among the requirements for a leagile production system and suggest a prioritised implementation of these criteria concerning relevant key performance indicators. This study is among the first to employ two interpretive methodologies to establish contextual relationships among the critical criteria of the leagile production system and provide a leagile implementation framework.
Keywords: agile; interpretive structural modelling; ISM; interpretive ranking process; IRP; leagile; manufacturing.
THE ROLE OF TECHNOLOGY, GOVERNANCE MECHANISM, AND TRAINING ON BUILDING DIGITAL PLATFORMS FOR DISABILITIESS EMPLOYMENT
by Nguyen Thi Khanh Chi, Phong Le, Nguyen Thi Hoa Hong, Nguyen Thuy Anh, Thai Thanh Ha
Abstract: This study aims to examine the impact of determinants on digital platform for disabled people and their satisfaction. Data gathered from 215 disabled people in Vietnam to test the relationship basing the structural equation analysis. The result reveals that people with disabilities need appropriate training, technology, and governance mechanism to be able to access digital platforms and be satisfied with working. Out of three factors, governance mechanism is found to be the key determinant impacting digital platform implementation and job satisfaction of disabled persons. Meanwhile, technology has a direct positive influence on building digital platforms but has an indirect impact on job satisfaction.
Keywords: digital platforms; people with disabilities; training; technology; governance mechanism; job satisfaction.
Workplace Empowerment and Employee Involvement: Empowering Workplace conditions
by Tara Prasad Padhy, Subhasish Das, L.P. Panda
Abstract: This study highlights the impact of workplace empowerment (WPEM) on employee involvement (EI) with an emphasis on Quality of Work life (QOWL) acting as a mediator to the research. This paper has adopted a quantitative approach and used a structured questionnaire to collect data from the managerial level employees, executives, and other staffs working in the energy sector of twin cities, Bhubaneswar and Cuttack, in Odisha. The findings suggest that by providing favourable and empowering workplace conditions along with higher QOWL can substantially enhance EI levels. A triadic link was affirmed that lays novel insights on organisational empowerment through the mediator QOWL in place. A better QOWL enhances the morale of the existing employees to perform their jobs more effectively, promotes the achievement of organisational strategies and alleviating the decision-making process, thereby adding novelty to the study.
Keywords: workplace empowerment; quality of work life; employee involvement; mediation; energy sector.
Identifying Business Services from Small and Micro Enterprises Collaboration: The Activity-Based Service Identification Framework (ASIF)
by Sertse Abebe Ayalew, Hossana Twinomurinzi
Abstract: Service identification (SI) occurs earlier to describe service requirements from a business process (BP) in service-oriented (SO) development paradigm. There exist several SI strategies. However, they have been devised to identify services from mature BP. There is, therefore, a need for SI strategies that cater to identify services from the emerging heterogeneous collaborative environments such as exist for small and micro enterprises (SMEs). This paper has developed the activity-based SI framework (ASIF) from activity-theory (AT) using design science research (DSR) methods. Guiding the selection and scoping of the collaboration activity, analysing goals and goal-oriented activity (actions), analysing objects, analysing stakeholders and their interactions, analysing rules and division of labour (DOL) within the collaboration processes, and identifying reusable, granular, and composable services are the contextual design principles of ASIF. The framework has been exemplified using a case study on SMEs peer-to-peer collaborative lending activities in the Ethiopian context.
Keywords: collaboration service identification; collaboration service requirement analysis; activity-based service identification; SMEs collaboration process.
A Comparative Analysis of Lean Manufacturing, Six Sigma and Lean Six Sigma for their application in manufacturing organizations
by Harsimran Singh Sodhi
Abstract: Manufacturing organisations always keeps on looking for the best available way outs in order to keep a control over the scrap and other industrial waste for keeping themselves competitive in present scenario. Nowadays, there is a matter of discussion among various manufacturing organisations that which waste management technique is better among leading techniques such as lean manufacturing, Six Sigma and Lean Six Sigma. Various experts had recorded their viewpoints in this regard but still there is confusion in the minds of the practitioners regarding the comparison of these leading techniques. Therefore in the present study a systematic comparative analysis of lean manufacturing, Six Sigma and Lean Six Sigma has been presented on various basis such as the history and growth of these techniques, important tools and techniques of these techniques, critical success factors, their areas of implementations, etc., so that practitioners can identify the basic difference among these techniques and can choose the best available technique for implementation in their manufacturing organisations on the basis of the requirement of the situations.
Keywords: quality standards; waste management; lean manufacturing; Six Sigma; Lean Six Sigma.
From product supplier to solution provider - integrating a service perspective in the product innovation work process for non-assembled products.
by Thomas Lager, Per Storm
Abstract: In a survey mode of inquiry with informants in 19 global manufacturing companies in six sectors of the process industries, integration of product-service offerings (PSO) in the product innovation work process for non-assembled products has been examined. The results reveal that the case-companies have already come far on what one could characterise as a service infusion journey. The findings further indicate that it is advisable not only to articulate and institutionalise a PSO strategy during the contextualisation phase of a work process but also to include service development early in conceptualisation during pre-product development. A novel three-phase PSO sub-process has been developed and is proposed to be integrated in the product innovation work process. Apart from the confirmation of a need to deploy proper product launch strategies, a more general process-industrial dilemma has been identified related to the extremely long
Keywords: product-service offerings; PSO; product innovation; application development; product innovation work process; non-assembled products; process industries.
Evaluation of effective parameters for green manufacturing implementation: Case studies in an Indian Manufacturing Industries
by Jasvinder Singh, CHANDAN DEEP SINGH, Dharmpal Deepak
Abstract: The industrial development is having an increasingly negative impact on the natural environment, such as global warming. Green manufacturing systems, which aim to reduce the environmental impact of manufacturing processes and products, are becoming extremely important as we look to the future. Therefore, these case studies aim to find the effectiveness of green manufacturing (GM) parameters in
Keywords: green manufacturing; GM; Ministry of Environment and Forests; MOEF; multi-criteria decision making; MCDM; critical success factors; CSFs.
Essential factors for seru implementation using ANP and AHP method
by Manish Kaushik, Devendra Choudhary
Abstract: In this paper, factors essential for implementing seru production are ranked according to their priority according to analytic network process (ANP) and analytic hierarchy process (AHP) technology. From the literature review, four main factors and 16 sub-factors were picked out and are validated by industrial experts and academia. Then, both ANP and AHP methods were applied to find the most influencing factors for seru implementation and also the results are validated through sensitivity analysis. The analysis carried out concludes that for implementing seru production, 'moveable workstation', (MW) 'light equipment' (LTE) 'multi-skilled labour' and 'cross-training of labour', are the most influencing and enabling factors that managers of industries should focus on. The process followed in this paper can be utilised by industries for seru production implementation. The approach followed in this paper is of the first few to be carried out for factor analysis for implementing seru production system (SPS).
Keywords: seru production system; SPS; factor analysis; ANP and AHP.
Tool Geometry and Machining Variables Influence on the Surface Roughness of End-Milling Process: A Comparative Study with Application of RSM and GA Tools and Techniques
by V.chowdary Boppana, Onella Sookhansingh
Abstract: This study investigates the effects of cutting speed, feed rate, depth of cut, and radial rake angle on the surface roughness of aluminium 5083 (Al5083), acrylic and polyethylene terephthalate (PET) in the computer numerical control end-milling operation. Taguchi L9 orthogonal array of experimental design was used to conduct the research. Response surface methodology was employed to generate prediction models. To achieve minimal surface roughness, optimal machining conditions were found using genetic algorithm approach. It was found that the optimal surface roughness for Al5083 was 0.143 µm, acrylic was 0.048 µm and PET was 0.612 µm. Further, it was deduced that the noise factors significantly affected the validation results for Al5083 but had little effect on acrylic and PET. Additionally, the study results confirm that the surface condition of different materials respond differently to identical process parameters and noise conditions.
Keywords: surface roughness; aluminium 5083; acrylic; polyethylene terephthalate; PET; Taguchi experiments; response surface methodology; genetic algorithm; end-milling.
Lean Technology and Its Impact on Organizational Performance: An empirical examination in Manufacturing Industry
by Jobin Vijayan, Radha Ramanan, Rajagopalan Sridharan
Abstract: Lean manufacturing (LM) has become a popular manufacturing technology and it has been successfully executed by industries all over the world. It is reported that LM has a high influence on the revenues of many industries. Several studies have been conducted on the implementation of lean manufacturing. However, there is a limited understanding existing in terms of its role to develop employee involvement, management commitment and organisational performance. Hence, the present study addresses this gap in tyre manufacturing industry by conducting a questionnaire based survey. The data analysis was conducted using exploratory factor analysis, confirmatory factor analysis and structural equation modelling. The analysis of results show that adoption of lean manufacturing helped to develop employee involvement and management commitment and in turn better organisational performance. This unique understanding of the present study will help the manufacturing companies in the proper implementation of lean manufacturing and to achieve better organisational outcomes.
Keywords: lean technology; LTECH; employee involvement; management commitment; organisational performance.