International Journal of Process Management and Benchmarking (52 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.
Programming tasks in business processes like a realistic hybrid flexible Flow shop using genetic algorithms
by Jaime A. Arango-Marin
Abstract: An adaptation of the job scheduling to the programming of business process tasks is made in a hybrid flexible flow shop environment. The problem is modelled considering realistic situations: sequence-dependent task change times, malleability of batch sizes, variable transfer batch, objective function of minimising average tardiness, unrelated parallel resources and more than two stages To solve the problem, are proposed standard and modified genetic algorithms The results of the experimentation allow us to appreciate that both genetic algorithms achieve average tardiness values between 20% and 60% better than the dispatch rules with best performance of the modified genetic algorithm. The conclusions are that it is possible to schedule business process tasks as an industrial plant, that it is necessary to take account of the real environment requirements and that the best solution is reached when a smart technique adapted to the features of the problem is used.
Keywords: Bussines Process Management (BPM); Genetic algorithms; Combinatorial optimization; Flow shop; Scheduling.
A Model for Overflow Queuing Network with Two Stations Heterogeneous System
by E. Mamatha, Chandra Sekhar Reddy, S. Saritha, P. Rajadurai
Abstract: Network systems with overflow arrivals are the utmost imperative problems in a high priority queuing system, where the customers are reluctant to join the queue. If the servers are free then arrived customers are serviced by one of the multiple servers. If all servers are busy then arrived customers will not join in the queue and quit the system without service and never return for the service. If the main server completes its work and no customer arrives for service then the work assigned to the lower service server is transformed to the main server and it becomes free for the next arrival customer. In this paper, we studied two heterogeneous nodes queuing system with arrivals as a Poisson process and the service with exponential service times. The system is analyzed using spectral expansion method to study various parametric measures and the results are presented in the graphical form.
Keywords: spectral expansion method; overflow; Heterogeneous system; Priority Queues.
Implementation of Performance Measurement System with Performance Prism Approach
by Elia Oey, Frederick Jourdan, Dennys Kwo, Ika Triana
Abstract: Measuring performance is crucial, yet occasionally taken for granted by Small and Medium Enterprise (SME). Building a good performance management system is therefore essential for SMEs. The research is a case study in a medium size enterprise in greater Jakarta area. The research assisted the studied company to develop performance indicators using Performance Prism approach. Afterwards, Key Performance Indicators (KPIs) was finalized using Analytical Hierarchy Process (AHP) and Pareto Principle. Final KPIs were then measured and visualized using the Traffic Light System (TLS) and Objective Matrix (OMAX) calculation. The results show that the combination of approaches can give a systematic and simpler mechanism for the studied company and can become the bases for monitoring and action plan identification.
Keywords: Analytical Hierarchy Process; Objective Matrix OMAX; Performance Measurement System; Performance Prism.
Workplace Spirituality and Employee Engagement: An empirical Analysis
by Indradevi Balasundaram, Baskar B
Abstract: Workplace spirituality is a prominent topic gaining appreciation and value among academicians and industry experts. Workplace spirituality (WPS) aims at meaningful work, sense of community, and value of organisation. Spirituality in the workplace involves the effort to find out ones ultimate purpose in life, to develop a strong connection with co-workers and other people associated with work, and to have consistency (or alignment) between ones core beliefs and their organisations values. This study investigates spirituality in the workplace and attempts to examine the relationship on how the concept and practice of workplace spirituality influences employee engagement in non-governmental organisations. The respondents were the employees from select NGOs. The study has established that workplace spirituality has a direct effect on employee engagement. The study provides new insights to the NGO employees for effective engagement to their social work through the spiritual virtues at workplace.
Keywords: workplace spirituality; WPS; connectedness; wholeness; employee engagement.
Reduction of variation and control parameters optimizing in a cement-bags company
by Abdelrahman Sayed Shehata, Mahmoud El-Sharief, Mahmoud Heshmat
Abstract: This paper introduces a case study methodology to decrease variability in quality measures and optimise control parameters in a cement-bags company. A lack of supervision is observed in the company which gives a negative impact on quality by increasing the number of defective bags with time without taking any action. The statistical process control (SPC) techniques, process capability measures, and analysis of variance (ANOVA) are used to reduce the high variability in production and the defective bag ratio. Moreover, an approach is developed to find and eliminate the resulted causes of variation in the production process. Multiple linear regression analysis is conducted for each variable characteristic to determine the best working conditions by which the production process improves.
Keywords: statistical process control; SPC; variation reduction; cement bag; production; regression; analysis of variance; ANOVA; process capability; control parameters; quality control.
Competitiveness Metrics for Small and Medium-Sized Enterprises through Multi-Criteria Decision Making Methods and Neural Networks
by Jones L. Schaefer, Elpídio Nara, Julio Siluk, Ismael C. Baierle, Matheus B. Da Costa, João Furtado
Abstract: This paper aims to present a way to obtain competitiveness metrics for Small and Medium-Sized Enterprises (SMEs) in a country with emerging characteristics. Key Performance Indicators (KPIs) were selected through a bibliographical research and Fuzzy-Delphi method. Competitiveness rates were obtained modelling these KPIs through a hybrid approach between VIKOR and TODIM methods, and Artificial Neural Networks (ANN). A set of 18 KPIs to evaluate, monitor and control SMEs competitiveness was defined. Individual Competitiveness Rates (ICRs) were obtained for SMEs and an average of 78.33 with the ANNxVIKOR hybridization and 81.61 with the ANNxTODIM hybridization (on a scale from 0 to 100). This paper can serve as parameter for other studies related to competitiveness evaluation. Through the KPIs set it is possible to define measurement parameters, translating into better control and optimizing possibilities for SMEs competitiveness, being used for comparisons and benchmarks for other similar Brazilian or global SMEs.
Keywords: Competitiveness; Multi-Criteria Decision Making; VIKOR; TODIM; Artificial Neural Network; Small and Medium-sized Enterprises; Key Performance Indicators; Individual Competitiveness Rate.
The Use of MCDM Approach to Benchmark Suppliers Collaboration in New Product Development for Thai Auto-part manufacturers
by Detcharat Sumrit
Abstract: In light of the effective collaboration of supplier for new product development (NPD), it is one of the challenging responsibilities for manufacturers and decision makers in the NPD environment. From a sustainability perspective, the benchmarking of the appropriated suppliers is a difficult task. This study proposes a process to assess the supplier collaboration by using a multi-criteria decision making approach based on fuzzy Delphi, entropy weight and grey relation analysis. The empirical study is applied to Thai auto-part manufacturers. The results include the appropriated evaluation perspectives and criteria; the relative important criterion with the highest important weight and the first ranking with the best collaborative performance score of benchmarked suppliers. As a starting point for valuable benchmarking of the early supplier collaboration in NPD process, this study would help managers to assess the capabilities and attributes of suppliers before selecting. Its benefits are very useful for academic research and practice.
Keywords: benchmarking; entropy weight; fuzzy Delphi; grey relation analysis; multi-criteria decision making; MCDM; new product development; NPD; supplier collaboration.
Analysing key social Implications of implementation of Industry 4.0 in manufacturing Industries
by NAVEEN VIRMANI, Urmi Ravindra Salve
Abstract: Technological advancements and globalized market competition has urged the manufacturing industries to deploy skilled and acumen workforce, use of digital and standardized working procedures and optimize utilization of resources. Till year 2011, three industrial revolutions have contributed expressively to meet the vacillating customer requirements. After that, the term Industry 4.0 was coined by Germany; joint effort of industrialists, academicians and researchers. Industry 4.0 or smart manufacturing encompasses advanced technologies like IoT, Cyber Physical System (CPS), big data analytics, cloud computing, machine learning, augmented reality, additive manufacturing, machine to machine communication etc. The concept of Industry 4.0 has caught the interest of researchers due to its potential advantages. Vitality of Industry 4.0 is spreading exponentially since last one decade. However, Industry 4.0 has many social implications which have been discussed in this paper. Interpretive structural modeling (ISM) technique has been applied to find interaction among identified social implications.
Keywords: Industry 4.0; Social Implications; cyber-physical system; operator 4.0.
A STUDY ON THE ASSESSMENT OF MAINTENANCE PRACTICES ON BUSINESS PERFORMANCE IN NORTHERN INDIAN SMEs
by Simrajit Singh Sidhu, Kanwarpreet Singh, Inderpreet Ahuja
Abstract: The present study is an understanding of the inescapable maintenance practices embraced in the contemporary northern Indian assembling SMEs and their impact on business performance. The current status and comparative analysis of business execution of breakdown maintenance, preventive maintenance, predictive maintenance, corrective maintenance, computer maintenance management system, maintenances scheduling and total productive maintenance has been investigated in context of Indian SMEs. through a specially designed maintenance practices questionnaire 216 northern manufacturing SMEs have been extensively surveyed. The study highlights that SMEs have successfully realized significant business performance enhancements in the organizations by executing the maintenance practices in an effective manner and maintenance practices have altogether contributed towards improving the general manufacturing performance. After a cautious examination of the current scenario, it is opined that the Northern Indian manufacturing SMEs have been following their pursuit for improving organisational performance by affecting significant improvement in maintenance performance.
Keywords: Maintenance practices; Reliability; Quality; Northern Indian SMEs; Business Performance.
Soft HRM and Work Environment for Elevating Job Satisfaction of Employees: Redefining the Validated Model of Private Sectors for Generation Y
by Sabrina Nushrat Islam, A.K.M. Manirul Bahar, Manimekalai Jambulingam, M.D. Mahamudul Hassan, Mohammad Nurul Alam
Abstract: The objectives of the study were to explore the necessity of soft HRM and work environment for job satisfaction of employees in the private sector. Generation Y has a general trend of quitting the job if they are not satisfied with their profession. Frequent turnover become one of the leading debates in the non-western region as well as the developing countries like Bangladesh beside western countries. The study used Smart (PLS) to scrutinise the data, create the model, and sort out the mediating impacts of work environment between soft HRM (SHRM) and job satisfaction. The field theory, social exchange theory, and HRM models served as the foundation for the study. The result shows that soft HRM has significant positive effects on job satisfaction mediating through the work environment. The study enhances the existing literature and practically helps the HR practitioners against the lack of job satisfaction.
Keywords: soft HRM; SHRM; dissatisfactions; job satisfaction; Generation Y; work environment; employee.
The Efficacy of Work Life Balance for Young Employee Retention: A Validated Retention Model for Small Private Industries
by A.K.M. Manirul Bahar, Md Asadul Islam, Amer Hamzah, Sabrina Nushrat Islam, M.D. Reaz
Abstract: The objectives of the study were to find out the effects of work-life balance (WLB) on Generation Y (Gen Y) employee retention and mediating effects of job satisfaction in small private business to combat the massive losses and instability due to frequent millennial turnover. Although extensive studies on Generation Y turnover have been carried out in the western context, the problem of frequent Generation Y turnover remains unresolved in developing countries especially in the context of Bangladesh, the fastest growing economy in South Asia. Hence, literature about the impact of work-life balance on Generation Y employee retention is examined to be missing in the non-west developing country context. In this quantitative study, applied the SMART PLS for analysis, the results deduce that work-life balance got a significant positive impact on retention and mediating through job satisfaction. The study grounds significant implications for all stakeholders relating to Generation Y employee retention as well as future researchers.
Keywords: millennial; generation Y; Gen Y; employee retention; turnover; job satisfaction; work-life balance; WLB.
Providing a Model for Achieving Organizational Agility with Emphasis on Business Process Management (BPM)
by Somaieh Alavi, Mostafa Ramezanian, Azam Bagheri, Vajiheh Zeraati
Abstract: Nowadays, with the emergence of process-oriented perspective and the popularity of the BPM approach among managers and also the efforts of organisations to become agile in a turbulent business environment, organisations are to adapt to environmental conditions and compete in it. It requires great flexibility and organisational agility to improve structures and processes. The purpose of this study is to provide a model for achieving agility in an organisation by emphasising on BPM by considering ERP as a moderating variable. This model can guide organisations in implementing BPM and achieving agility. In this study, 25 steel mills in Isfahan Province were used as statistical sample. A questionnaire was used to measure agility, BPM and ERP. Data analysis showed that BPM has a positive and significant effect on promoting agility of the organisation and ERP moderates this relationship. Then, based on the results, a model is proposed as a roadmap for organisations. This model has been evaluated and modified by Delphi technique in three stages by ten IT experts and finally the proposed modified model has been developed as an example in the steel industry. Structural equation modelling approach and Excel, Smart PLS and SPSS software were used to analyse the statistics.
Keywords: business agility; business process management; BPM; enterprise resource planning; ERP; model.
Development of a model to assess the impact of lean practices on firm performance in SMEs
by Sachin Saini, Doordarshi Singh
Abstract: The purpose of this paper is to develop a model that assesses the impact of lean manufacturing practices on performance enhancement in Indian SMEs. In this present work, empirical study did in small and medium enterprises of Northern India and case studies have been used for drawing out the learning issues and their inferences for developing a model using qualitative modelling approach. Qualitative modelling which consists of Options field methodology (OFM), Options profile methodology (OPM), Analytical Hierarchy process (AHP) and Fuzzy set theory (FST) methods are applied for synthesising the learning issues into options and further prioritising the performance parameters. Four options profiles mainly considered were Process improvements based approach (PBA), People oriented approach (POA), Top management leadership (TML) and Mixed approach (MA). From all the approaches, mixed approach has come out to be preferred for effective implementing the lean manufacturing practices and enhancing the overall performance of the organisation.
Keywords: Small and medium enterprises (SMEs); Lean manufacturing Practices (LMPs); Northern India; Qualitative modelling; Firm performance.
Setup time reduction to enhance the agility of the manufacturing industry through kobetsu kaizen and SMED: a case study
by Rahul Kumar, Kanwarpreet Singh, Sanjiv Jain
Abstract: Nowadays, the manufacturing industry is increasingly globalised and competitive, where the quality, cost, variety and fulfilment of the delivery deadlines are fundamental factors for the customers. To successful meet these demands, organisations must find strategies to make their processes more flexible and agile. In addition, product diversification and reduced orders lead organisations to have optimised their setup processes on the equipment. A short setup time is critical for being able to produce small quantities of a large diversity of products. However, producing smaller batches sizes causes more changeovers. Single minute exchange of die (SMED) has been widely and satisfactory techniques for setup and changeover time reduction. This paper shares a real industry experience for a reduction in setup time through SMED and kobetsu kaizen. The existing condition was analysed to find opportunities for improvement. Achieved improvements involved decreasing setup time by 79.10% through successful implementation of SMED. The outcomes of the present study will prove to be beneficial for agile organisations in their pursuit of tackling (reduce or even eliminate) the setup and adjustment losses.
Keywords: SMED; setup time; agility; manufacturing industry.
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.
Supply chain risk management
by Olga Domnina, Tatyana Sakulyeva, Lesya Bozhko
Abstract: The purpose of this study was to conduct a descriptive comparative analysis of potential risks for supply chains in Austria, Russia, and Kazakhstan and assess the processes of their integration into global supply chains. The study used the 2020 FM Global Resilience Index as an indicator of relative enterprise resilience to disruptive events, which fully meets the requirements for a comprehensive assessment of supply chain risks. The overall analysis included different countries occupying various positions in the FM Global Resilience Index. When forming a strategy for supply chain risk management, the central attention is to be given to the analysis of the external environment and supply chain resilience. Current tendencies toward globalisation necessitate the consideration of supply chain resilience in the global context. Political risks, corruption, poor cybersecurity, and supply chain visibility play an essential role in assessing the resilience index and analysing the external environment.
Keywords: supply chain; risk management; resilience index; risk factors.
CORPORATE SUCCESSION PLANNING: ACCIDENT OR PART OF THE STRATEGIC BENCHMARKING PROCESS
by Alan D. Smith
Abstract: Succession planning has become a common process in organisations, both public and private. This process identifies and develops talented internal employees to fill key critical positions within the organisation. Many companies are looking to technology as a way to identify these employees and to track their development. In a review of the patient literature and an empirical analysis, four specific questions were tested. It was found that technology skills rate very high with both sexes, age or continuous working records were associated with males, while females more dependent on education to achieve higher levels of disposable income. High-potential employees especially are motivated for increased levels of transparency as they development their talent pools, regardless of gender.
Keywords: competitive advantage; customer relationship management; CRM; forward stepwise regression; succession planning; talent pools; technology.
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.
Fuzzy TISM and DEMATEL approach to analyze Lean variables in Indian Healthcare Industry
by Vineet Jain, Puneeta Ajmera
Abstract: During the last few decades, due to rising competition, healthcare organisations have been trying their best to perform more efficiently by providing the best quality services to the patients. Lean is one of these performance improvement strategies which focus on delivering perfect services to the patients. But lean implementation usually faces issues like employee resistance, poor follow-ups, and financial constraints, etc. The present research has identified fifteen critical variables that affect the lean theory in the healthcare industry based on the review of existing literature with the experts opinion in the healthcare sector as well as academia also. Fuzzy TISM fuzzy total interpretive structural modelling and DEMATEL methodologies have been used to estimate the relationships among these variables. Results of both the methodologies depict that successful implementation of lean theory in healthcare organisations depend upon financial capability and lean training. These key variables possess high driving power low dependent power.
Keywords: lean theory; TISM; fuzzy TISM; DEMATEL approach; healthcare industry; MICMAC analysis; fuzzy MICMAC.
The Boundaries of Knowledge Transfer in Management Consulting
by Renato Lopes Da Costa, Leandro Ferreira Pereira, Álvaro Dias, Rui A. H. Gonçalves, Carlos Jeronimo, Ricardo Santos
Abstract: In a historical retrospective, although the existing literature calls the management consulting industry an extraordinary sector and a unique phenomenon in the business context, in fact these statements are not accompanied by a number of academic studies that emphasise the importance of the effective work of the management consultants. To contest the lack of studies in this emerging area, this article aims to understand the implications of the border to the transfer of information and knowledge from management consultants to their client companies. The results of the empirical analysis in the form of semi-structured interviews and questionnaires applied to management consultants and SME managers in Portugal reveal that the competency factor must be based on the four knowledge families of business management the actual know, know the competence, knowledge transfer and future know-how and it is only from this conjugation that any kind of constraints that can be found along the way (political, physical or cultural) are able to be unblocked.
Keywords: management consulting; knowledge transfer; strategy-as-practice; SAP.
The Main Challenges to Implement a Strategic Plan through Dynamic Capabilities
by Leandro Ferreira Pereira, Renato Lopes Da Costa, Álvaro Dias, Rui Alexandre H. Gonçalves
Abstract: The globalisation, the accelerating technological evolution and the financial crisis are just some of the factors that contribute to the fast-pacing changing market conditions, requiring the companies to have the capacity to be continuously improving and adapting at the same time. Dynamic capabilities allow the organisation to transform its core and support competencies to adapt permanently and quickly to the habitat and external context, becoming the basis for the achievement of strategic objectives and sustainable growth. This research presents the results from a research which has identified that the professionals indicate one or more of three barriers as the main obstacles to implement the strategic objectives in their companies. A problem solving approach is then applied for each of the top 3 barriers, defining the barrier, analysing its impacts and their evolution over time, so as to be able to derive and recommend the solutions to overcome the barrier.
Keywords: dynamic capabilities; strategic objectives; strategy alignment; human resources; competencies; communication.
How to Improve Operational Processes Using Monte Carlo Simulation
by Leandro Ferreira Pereira, José Santos, Carlos Jeronimo, Ricardo Santos
Abstract: The banking industry is changing; the future will integrate disruptive technologies which will make possible to transform their business. Between these transformations, the simulation process is seen as a considerable achievement and increment in the sector of credit request. In this research, a simulation process based in the Monte Carlo method was applied to several credit card requests in order to measure efficiency of credit process based, initially, in a normal distribution and to reproduce several scenarios and choose the one which fits better with the credit process needs. This model aims to identify the main points of deviations and perceive their respective causes. The findings of this study allowed to measure the number of full time equivalent allocated to these processes through the amount of credits requested daily. Throughout the execution of this methodology it is possible to measure the process with considerable accuracy (AS-IS) and to understand the benefits associated with the implementation of such solution. In the end, the process of credit request has become more effective due to the process optimisation and at the same time, reduced the complexity inherent to the credit card requests.
Keywords: simulation process; Monte Carlo; banking; credit card.
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.
Integrated Stochastic Bicriteria Flow shop Scheduling Problem with Preventive Maintenance
by Meenakshi Sharma, Dr Manisha Sharma, Sameer Sharma
Abstract: In this paper concept of flexible and multiple preventive maintenance activities is introduced by reformulating classical bicriteria permutation flow shop scheduling problem into stochastic scheduling with objective to minimise system utilisation time with minimum makespan. The mathematical model is formulated to handle the uncertainties in job processing time and the time interval for machine maintenance. The problem of stochastic flow shop scheduling environment with maintenance activities, is NP-hard. Therefore, the advanced metaheuristic is implemented to solve large scale instances of referred problem. Extensive computational analysis is carried out to depict the superiority of proposed metaheuristic in terms of effectiveness and efficacy.
Keywords: flow shop scheduling; preventive maintenance; genetic algorithms; makespan; system utilisation time; delay time.
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.
COMPETITIVE BENCHMARKING OF UNIVERSITI UTARA MALAYSIAS PERFORMANCE AGAINST THE PERFORMANCE OF SELECTED MALAYSIAN UNIVERSITIES
by Muhammad Nazri Engku, S.Kanageswari Suppiah Shanmugam, Nor Aziah Abd Manaf
Abstract: This paper reports on a competitive benchmarking study to gauge where Universiti Utara Malaysia (UUM) stands with respect to six other top universities in Malaysia, based on the perception of the universities stakeholders (potential employers) on ten different relevant performance attributes. Compromised-AHP was used to calculate the performance score obtained by each university with regards to each performance attribute. The findings, based on 92 evaluations received revealed that although UUM was only recently ranked fifth among the seven universities selected for this study (based on the 2019 Times Higher Education Asia University Rankings), UUM surprisingly scored comparatively well in all the performance attributes except for one performance attribute, the English language proficiency of the graduates. However, although UUM is perceived to comparatively performing better than the other six universities, overall, the actual performance is perceived to be only at the level of slightly above average. The findings are very beneficial to UUM in the sense that by knowing which aspects that UUM is perceived by the potential employers to be lacking and require further improvements, appropriate strategies can be formulated and undertaken by the UUM management to strengthen its performance.
Keywords: university competitive benchmarking; stakeholders perception; compromised-AHP.
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.
Agile Project and Portfolio Management: A Systematic Literature Review
by Frederico Batista, Leandro Ferreira Pereira, Renato Lopes Da Costa, Nelson Antonio
Abstract: The application of agile methods (AM) in project management has shown great efficiency and remarkable results. However, these methods were born to be applied at team level and not at project portfolio level, where the complexity of managing multiple agile projects and teams leads to several challenges of resource management, priorities and governance model of the project portfolio. The systematic literature review performed in this research aims to identify which practices are the most appropriate to manage the challenges associated with agile portfolio management (APM) and which is the most appropriate context. In this literature review 28 articles published between 2005 and 2020, related to agile, APM and scaled agile were analysed. The existing scientific literature on APM is still very limited and this research aims to establish the baseline and encourage additional empirical studies in this area. For APM practitioners, it is intended to get an understanding of the most efficient practices and techniques for managing agile project portfolios and how to ensure proper conditions for their implementation.
Keywords: agile; agile portfolio management; APM; scaled agile.
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.
Challenges of sustainability in Indian Manufacturing Sector: A critical review
by Aneesh Kuruvilla, Deepak Singhal, Sushant Tripathy, Biswajit Mohapatra
Abstract: Sustainability has become the critical constraint in any industry around the globe. It defines the new measuring standard that would help to improve the social, economic and environmental aspects in an industry. The paper intends to bring into limelight the various challenges/factors/barriers affecting the implementation of sustainability in manufacturing industries of India. The factors have been articulated from a vast literature survey encompassing journals from 1994 to 2019. The research extends further to enquire practitioners, industry professionals and academicians in India through a close-ended questionnaire. The responses, when analysed, yielded 24 factors which were identified as major hindrances to Indian context of sustainable manufacturing. Some of the major factors are product life cycle design and 6R. Each factor has been elucidated in the respective context. The authors have tried to classify these factors into seven major factor-groups affecting sustainable manufacturing. The results of the survey indicate that the 24 factors are hindrances or challenges to the Indian manufacturing sector. This research is a preliminary attempt to revolutionise the transformation of Indian manufacturing practices into sustainable ones.
Keywords: sustainability; manufacturing; challenges; India; barriers.
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.