• Decision making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)

      Sagnak, M; Kazancoglu, Y; Ozkan Ozen, Y.D; Garza-Reyes, J.A.; Izmir Katip Celebi University, Izmir, Turkey; Yasar University, Izmir, Turkey; University of Derby (Emerald, 2020-08-22)
      The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the Prospect Theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their RPNs. In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts. The results are very much in line with Prospect Theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm’s attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure, and operator failure, respectively. The originality of this paper consists in integrating Prospect Theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA’s Risk Priority Numbers (RPNs).
    • Decision modeling for evaluating risks in pharmaceutical supply chains

      Moktadir, M. A.; Ali, S; Kumar Mangla, S; Sharmy, T; Luthra, S; Mishra, N; Garza-Reyes, Jose Arturo (Emerald, 2018-01)
      Purpose - Managing risks is becoming a highly focused activity in the health service sector. In particular, due to the complex nature of processes in the pharmaceutical industry, several risks have been associated to its supply chains. This paper therefore aims at identifying and analyzing the risks occurring in the supply chains of the pharmaceutical industry and proposing a decision model, based on the Analytical Hierarchy Process (AHP) method, for evaluating risks in pharmaceutical supply chains. Design/methodology/approach – The proposed model was developed based on the Delphi method and AHP techniques. The Delphi method helped to select the relevant risks associated to pharmaceutical supply chains. Sixteen sub-risks within four main risks were identified through an extensive review of the literature and by conducting a further investigation with experts from five pharmaceutical companies in Bangladesh. AHP contributed to the analysis of the risks and determination of their priorities. Findings – The results of the study indicated that supply related risks such as fluctuation in imports arrival, lack of information sharing, key supplier failure and non-availability of materials should be prioritised over operational, financial and demand related risks. Originality/value – This work is one of the initial contributions in the literature that focused on identifying and evaluating PSC risks in the context of Bangladesh. This research work can assist practitioners and industrial managers in the pharmaceutical industry in taking proactive action to minimize its supply chain risks. To the end, we performed a sensitivity analysis test, which gives an understanding of the stability of ranking of risks.
    • Decision policy scenarios for just-in-sequence deliveries: A supply chain fluidity approach

      Cedillo-Campos, Miguel Gaston; Morones Ruelas, Dario; Lizarraga-Lizarraga, Giovanni; Garza-Reyes, Jose Arturo; Mexican Institute of Transportation; CEVA Logistics; Universidad Autónoma de Nuevo León; Ecole des Mines de Saint-Étienne; University of Derby (OmniaScience, 2018)
      Purpose: The Just-in-Sequence (JIS) approach is evidencing advantages when controlling costs due to product variety management, and reducing the risk of disruption in sourcing, manufacturing companies and third-party logistics (3PL). This has increased its implementation in the manufacturing industry, especially in highly customized sectors such as the automotive industry. However, despite the growing interest from manufacturers, scholarly research focused on JIS still remains limited. In this context, little has been done to study the effect of JIS on the fluidity of supply chains and processes of logistics suppliers as well as providing them with a decision making tool to optimise the sequencing of their deliveries. Therefore, the aim of this paper is to propose a genetic algorithm to evaluate different decision policy scenarios to reduce risks of supply disruptions at assembly line of finished goods. Consequently, the proposed algorithm considers a periodic review of the inventory that assumes a steady demand and short response times is developed and applied. Design/methodology/approach: Based on a literature review and real-life information, an abductive reasoning was performed and a case study application of the proposed genetic algorithm conducted in the automotive industry. Findings: The results obtained from the case study indicate that the proposed genetic algorithm offers a reliable solution when facing variability in safety stocks that operate under assumptions such as: i) fixed costs; ii) high inventory turnover; iii) scarce previous information concerning material requirements; and iv) replenishment services as core business value. Although the results are based on an automotive industry case study, they are equally applicable to other assembly supply chains. Originality/value: This paper is of interest to practitioners and academicians alike as it complements and supports the very limited scholarly research on JIS by providing manufacturers and 3PL suppliers competing in mass customized industries and markets, a decision support system to help decision making. Implications for the design of modern assembly supply chains are also exposed and future research streams presented.
    • A decision-support framework for lean, agile and green practices in product life cycle stages

      Udokporo, Chinonso; Anosike, Anthony; Lim, Ming; University of Derby; Coventry University (Taylor & Francis, 2020-05-19)
      Improving operations performance is often achieved through the application of practices such as Lean, Agility and Green (LAG) practices. However, the wide choice of LAG practices available to address customer requirements can be challenging for those with limited knowledge of LAG practices and their efficacy. Therefore, this research provides a framework for selecting appropriate LAG practices that considers product life cycle (PLC) stages for more effective application of practices. The framework was developed following thorough literature review to capture LAG practices. These form the basis for decision making tools incorporated within the framework including an analytic hierarchy process (AHP), statistical inference and regression analysis, ensuring a systematic approach to the analysis and decision support. The framework was verified and validated through a Delphi study and case study respectively. This research makes a contribution to the body of knowledge by providing a framework which could serve as a guide for businesses in the fast moving consumer goods (FMCG) industry to systematically integrate and adopt LAG to better manage their processes and meet customer requirements.
    • Deploying Kaizen events in the manufacturing industry: An investigation into managerial factors

      Garza-Reyes, J.A., Christopoulos, C., Kumar, A., Luthra, S., Gonzalez Aleu, F., Kumar, V., Villarreal, B.; University of Derby; University of Warwick; London Metropolitan University; Ranbir State Institute of Engineering & Technology, India; Universidad de Monterrey, Mexico (Taylor & Francis, 2020-09-24)
      Despite the extensive research on Continuous Improvement (CI), limited reflection has been reported regarding the managerial factors needed to successfully deploy Kaizen Events (KEs). This study investigates various managerial aspects that affect the implementation of KEs. After conducting a literature review and gathering experts’ inputs, the objectives of the study and six research questions were formulated. A survey questionnaire responded by 175 manufacturing organisations was designed and validated. A combined approach of descriptive statistics and one-way ANOVA tests were used to analyse the collected data. Besides other ‘soft’ aspects, the results determine: (1) the drivers and barriers in the pre-implementation stage of KEs; (2) the critical success factors and challenges related to the implementation stage of KEs; (3) the reasons that result in unsuccessful KEs; and (4) the reasons that stop organisations from running KEs. The study provides insights into an under-researched topic by looking at different phases of KEs implementation. The study contributes to the contingency and the RBV theories by offering an understanding of the importance of different contingencies and resources planning for KEs implementation. The findings are beneficial for industrialists who may aim at driving CIs in their organisations through the implementation of KEs.
    • Design for environment Ontology-based knowledge management model for green product development

      Benabdellah, A.C; Zekhnini, K; Cherrafi, A.; Garza‐Reyes, J.A; Kumar, A; Moulay Ismail University, Meknes, Morocco; University of Derby; London Metropolitan University (Wiley, 2021-06-30)
      Through appropriate operations and policies, such as green processes and product development (PDP), companies can respond to environmental sustainability. To remain competitive, one such approach, Design for X (DFX), involves considering different environment and sustainable strategies through different factors Xs. With regards to the availability of different DFX techniques that consider environmental issues, the decision as to which approach needs to be adopted remains absent. This paper aims at presenting an overview from 1980 to 2020 of the developed research, applications, and DFX techniques for assessing green issues. Selected DFX techniques are linked with strategies used in organizations. Following a literature analysis, a collaborative knowledge-based framework that addresses the design concepts needed to assess environmental, safety, and health concerns in the development of green products is proposed. Furthermore, as a pillar for considering the Semantic Web and an evolving approach linked with Natural language processing (NLP) and Artificial Intelligence (AI), an ontology-based knowledge management model for green assessment is developed for the representation, acquisition, organization and capitalization of knowledge in a computer interpretable manner. The findings are useful for both managers and practitioners as they provide a coherent domain ontology that can help them manage knowledge, improve teamwork, and make decisions in a collaborative green PDP. Besides, an understanding of the essential design considerations that are required to implement environmental, safety, and health issues, as well as competencies used in the PDP is presented. Key barriers, managerial and strategic implications and mitigation actions are also identified in this paper.
    • Developing a strategic sustainable facility plan for a hospital layout using ELECTRE and Apples procedure

      Vimal, K.E.K; Kandasamy, Jayakrishna; Nadeem, Simon Peter; Kumar, Anil; Šaparauskas, Jonas; Garza-Reyes, Jose Arturo; Trinkūnienė, Eva; National Institute of Technology, Patna, Bihar, India; VIT University, Vellore, Tamil Nadu, India; London Metropolitan University; et al. (Vilnius Gediminas Technical University (VGTU) Press, Lithuania, 2020-11-23)
      Today healthcare globally is growing at a rapid pace and despite the huge technological advancement, healthcare still faces primitive challenges and hence results in the poor service and facility to the needy. Layout planning acts as one major reason which requires improvements for the effective and efficient working of the healthcare facilities. This research aims at optimizing several quantitative criteria related to economic, technology and society which are taken into consideration for the decision-making during the evaluation, analysing and selection of the best layout for an existing healthcare facility. Critical areas for the improvement were found out using statistical analysis based on a survey questionnaire and Apple’s layout procedure is utilised to design the different possible layouts for an efficient facility. The seven criteria namely inter-departmental satisfactory level, the average distance travelled and the average time required for staff flow, the average distance travelled and the average time required for patient flow, the average distance travelled and the average time required for material flow were taken into consideration. The ELECTRE methodology was used as multi-criteria decision making based on decided seven criteria for comparing the different layout by methodical and orderly thinking.
    • Developing green supply chain management taxonomy-based decision support system.

      Kumar, Vikas; Holt, Diane; Ghobadian, Abby; Garza-Reyes, Jose Arturo; University of the West of England; University of Essex; University of Reading; University of Derby (Taylor and Francis, 2014-05-21)
      The aim of this paper is to develop a comprehensive taxonomy of green supply chain management (GSCM) practices and develop a structural equation modelling-driven decision support system following GSCM taxonomy for managers to provide better understanding of the complex relationship between the external and internal factors and GSCM operational practices. Typology and/or taxonomy play a key role in the development of social science theories. The current taxonomies focus on a single or limited component of the supply chain. Furthermore, they have not been tested using different sample compositions and contexts, yet replication is a prerequisite for developing robust concepts and theories. In this paper, we empirically replicate one such taxonomy extending the original study by (a) developing broad (containing the key components of supply chain) taxonomy; (b) broadening the sample by including a wider range of sectors and organisational size; and (c) broadening the geographic scope of the previous studies. Moreover, we include both objective measures and subjective attitudinal measurements. We use a robust two-stage cluster analysis to develop our GSCM taxonomy. The main finding validates the taxonomy previously proposed and identifies size, attitude and level of environmental risk and impact as key mediators between internal drivers, external drivers and GSCM operational practices.
    • Developing textile entrepreneurial inclination model by integrating experts mining and ISM-MICMAC

      Kapse, Chanduraj Pious; Kumar, Anil; Dash, Manoj Kumar; Zavadskas, Edmundas Kazimieras; Luthra, Sunil; Government Polytechnic, Nagpur, India; BML Munjal University; Indian Institute of Information Technology and Management; Vilnius Gediminas Technical University; State Institute of Engineering & Technology,Nilokheri, India; et al. (Taylor and Francis, 2018-03-05)
      The Indian textile industry is lacking in an entrepreneurial inclination of a skilled young generation; because of this, the industry is facing a challenge to achieve sustainable development and growth. To overcome this problem, the goal of this work is to build an entrepreneurial inclination model in the context of the textile industry. For achieving this goal, a combined approach of an extensive literature review and experts mining has been used to establish the entrepreneurial inclination factors in phased of the study. In the second phase, an Interpretive Structural Modelling (ISM) with Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) has been applied to build a structural model and to find the driving force factors and dependence power. The results show that effective entrepreneurship courses, institutional policy, training and internship, institutional corporation and the involvement of institutional heads play a very significant role in encouraging youth towards entrepreneurship. The outcomes of the study can help both the government and academic institutes to draw up effective policy and develop an entrepreneurial culture which can help to create more entrepreneurs in the textile field.
    • A DMAIRC approach to lead time reduction in an aerospace engine assembly process

      Garza-Reyes J.A., Flint, A., Kumar, V., Antony, J., Soriano-Meier, H.; University of Derby (Emerald, 2014)
      Problem solving and continuous process improvement are key elements to achieve business excellence. Many problem solving and process improvement methodologies have been proposed and adopted by organisations, with DMAIC being the most widely used. The purpose of this paper is to present an empirical application of a modified version of DMAIC which enabled a world-class organisation to achieve an optimum reduction in the lead time of its aerospace engine assembly process. The paper reviews the most commonly used problem solving and process improvement methodologies and specifically, DMAIC, its variations and limitations. Based on this, it presents define, measure, analyse, improve, review, control (DMAIRC). Finally, DMAIRC is empirically applied through a case study, in a world-class manufacturing organisation. The results obtained from the case study indicate that DMAIRC is an effective alternative to achieve the maximum improvement potential of a process. In particular, DMAIRC helped the organisation studied to achieve a 30 percent reduction in the lead time of its engine assembly process. The novel problem solving and process improvement methodology presented in this paper can be used by organisations to undertake a more effective improvement project by assuring that the maximum potential of their improvement initiatives and processes is achieved.
    • Do altruistic and egoistic values influence consumers’ attitude and purchase intention towards eco-friendly packaged products? An empirical investigation.

      Prakash, G., Choudhary, S., Kumar, A., Garza-Reyes, J.A., Khan, S.A.R., Panda, T.K.; University of Derby (Elsevier, 2019-05-17)
      Increasing demand for products with eco-friendly packaging is an example of the environmental consciousness of customers. That consciousness forces companies not only to develop eco-friendly products, but also motivates practitioners and academicians to understand the eco-friendly buying behaviour of the customer. Yet in current literature, there is little discussion available where researchers talk about the influencing relationship of altruistic and egoistic values of customers on their attitudes and purchase intentions towards eco-friendly packaged products. Therefore, this work aims to build a structural model to establish the relationship between egoistic and altruistic values on customers’ attitudes and their intention to purchase products with eco-friendly packaging. With the help of a structured questionnaire, data from 227 young Indian customers was collected. An empirical investigation was carried out and the conceptual model was tested using Structural Equation Modelling (SEM). The analysis indicates that these values do influence purchase intention for products with eco-friendly packaging. However, altruistic value exerts greater influence than egoistic value. This research provides relevant findings about young consumers and their response to products with ecological packaging. These findings will assist marketers in reducing the environmental footprint caused by packaging materials, helping them to retain customers as a result. From the Asian perspective, the present research is among the early efforts towards understanding the significance of values (altruistic and egoistic) pertaining to products with ecological packaging.
    • Do human critical success factors matter in adoption of sustainable manufacturing practices? An influential mapping analysis of multi-company perspective

      Ahuja, J; Kumar Panda, T; Luthra, S; Kumar, Anil; Choudhary, S; Garza-Reyes, Jose Arturo; University of Derby (Elsevier, 2019-08-10)
      Sustainable human factors and change management systems have been gaining significant attention at global level for implementation of sustainable practices within organisations. With the rise in environmental degradation, the automotive sector has made efforts to adopt Sustainable Manufacturing (SM) practices to decrease the adverse effects on the environment instigated by emissions. Human Critical Success Factors (HCSFs) may play an important role in adoption of SM but in literature, no study has yet discussed the influence of HCSFs on the adoption of SM practices. The current work is an effort to fill this gap and to analyse the importance of HCSFs in adopting SM practices from a multi-automotive company perspective. In the first phase study, HCSFs were identified from existing literature and an empirical analysis was carried out to finalise identified HCSFs. In the second phase, to understand the influential relationship among these HCSFs, a DEMATEL approach was employed for developing a cause-effect model for each company. The result suggested that 'Green motivation', 'Customer relationship management', 'Management leadership', 'Communication' and 'Strategic alignment' are the highly significant causal HCSFs in efficient adoption of SM practices. The results of the study will help industry practitioners and managers to make strategic plans in the context of SM practices and its relationship with human factors for sustainable business development.
    • Eco-innovation and the circular economy in the automotive industry

      Maldonado-Guzman, G., Garza-Reyes, J.A., Pinzón-Castro, S.Y.; Universidad Autónoma de Aguascalientes, Aguascalientes, Mexico; University of Derby (Emerald, 2020-10-27)
      Circular economy is emerging as a new sustainability paradigm. Similarly, eco-innovation is being recognized as one of the most important mechanisms that allow the transition from a linear to a circular economy in production processes, as there is a strong relationship between eco-innovation (eco-innovation of products, processes and management) and circular economy activities. However, the relationship between eco-innovation and circular economy is an issue that has been isolated and little analyzed in the academic literature. Therefore, this research fills this gap by exploring the interdependence between eco-innovation and circular economy. The research is conducted through an extensive literature review from where a research framework consisting of 2 measurement scales, 18 items and three hypotheses were developed. A self-administered questionnaire was distributed and 460 responses were obtained from companies in the automotive and auto parts industry in Mexico. The data obtained were analyzed through confirmatory factor analysis, descriptive statistics and Structural Equation Modelling. The results suggest that eco-innovation of products, process and management has a significant positive impact on the circular economy of companies in the automotive and auto parts industry. The findings of this research can inform managers in the automotive sector and policy makers when formulating and deploying environmentally sustainable strategies. This paper fills a research gap by expanding the limited body of knowledge that relates eco-innovation and circular economy and providing some evidence of their relationship. The research also allows the unique characteristics of eco-innovation and the circular economy to be understood within a particular context, growing in this manner the body of knowledge on this field.
    • Eco-innovation practices’ adoption in the automotive industry

      Maldonado-Guzman, G; Garza-Reyes, Jose Arturo; University of Derby (Emerald, 2020-02-22)
      Eco-innovation is a construct that is gaining increasing interest from academics and researchers since it is commonly considered in the literature as one of the strategies that allow manufacturing companies not only to significantly reduce the negative impacts on the environment but also the generation of pollutants. However, little is known about the adoption of eco-innovation practices in manufacturing companies, particularly in the automotive industry. Therefore, this research has as main objective to fill this gap in the literature and explore the interdependence between eco-innovation of products, processes and management. The study is conducted through a research framework consisting of 3 measurement scales, 14 items and 3 hypotheses and an extensive review of the literature. A self-administered questionnaire was distributed to a sample of 460 companies in the automotive and auto parts industry in Mexico. Data were analyzed through Confirmatory Factor Analysis, Descriptive Statistics and Structural Equation Modelling. The results obtained show that product eco-innovation, process eco-innovation and management eco-innovation are good indicators for the adoption of eco-innovation practices for companies in the automotive and auto parts industry. The paper addresses a research gap in the academic literature in the eco-innovation field by providing evidence on the interdependence between eco-innovation of products, processes and management and the implementation of their practices in the automotive industry.
    • Editorial: Seeing green: Achieving environmental sustainability through lean and six sigma

      Garza-Reyes, Jose Arturo; Kumar, Vikas; Chen, Frank, F.; Wang, Yi-Chi; University of Derby; University of West England (Emerald, 2017-01)
    • The effect of lean methods and tools on the environmental performance of manufacturing organisations.

      Garza-Reyes, Jose Arturo; Kumar, Vikas; Chaikittisilp, Sariya; Tan, Kim Hua; University of Derby; University of the West of England; University of Warwick; University of Nottingham (Elsevier, 2018-04-01)
      Evidence suggests that lean methods and tools have helped manufacturing organisations to achieve operational excellence, and in this way meet both traditional and contemporary organisational objectives such as profitability, efficiency, responsiveness, quality, and customer satisfaction. However, the effect of these methods and tools on environmental performance is still unclear, as limited empirical research has been conducted in this field. This paper therefore investigates the impact of five essential lean methods, i.e. JIT, autonomation, kaizen/continuous improvement, total productive maintenance (TPM) and value stream mapping (VSM), on four commonly utilised measures for the compliance of environmental performance, i.e. material use, energy consumption, non-product output, and pollutant releases. A correlation analysis modelled the relationship and effect of these lean methods on the environmental performance of 250 manufacturing organisations around the world. Structural equation modelling (SEM) was used as a second pronged verification approach to ensure the validity of the results. The results indicate that TMP and JIT have the strongest significance on environmental performance, whereas kaizen/continuous improvement only showed an effect on the use of materials and release of pollutants. Autonomation and VSM did not show any impact on environmental performance. The research holds important implications for industrialists, who can develop a richer knowledge on the relationship between lean and green. This will help them formulate more effective strategies for their simultaneous or sequential implementation. The paper extends our knowledge in the lean and green field by helping us to establish and explain the given relationships between five of the most important and commonly used lean methods and the environmental performance of manufacturing organisations. No previous research had considered the studied lean methods and environmental measures of performance.
    • The effect of supply chain management practices on supply chain and manufacturing firms’ performance

      AL-Shboul, Moh’d Anwer; Barber, Kevin D.; Garza-Reyes, Jose Arturo; Kumar, Vikas; Abdi, Reza; German-Jordanian University; University of Bradford; University of Derby; University of West England (Emerald, 2017-05)
      Purpose – This paper theorises and develops seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a SCM practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP. Design/Methodology/Approach – Data was collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1: there is a significant relationship between SCMPs and SCP; H2: there is a significant relationship between SCMPs and MFP; and H3: there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling (SEM). Findings – The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2). Practical Implications – This study provides hard evidence indicating that higher levels of SCM practices can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCM practices of their firms. Originality/Value – This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.
    • An empirical analysis of supply and manufacturing risk and business performance: a Chinese manufacturing supply chain perspective.

      Kumar, Vikas; Guo, Ruizhi; Shaw, Sarah Louise; Colicchia, Claudia; Garza-Reyes, Jose Arturo; Kumari, Archana; Bak, Ozlem; University of the West of England; University of Warwick; University of Hull; et al. (Emerald, 2018)
      Purpose – This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within thecontextofChinesemanufacturingsupplychains. Design/methodology/approach – A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structuredinterviews. Findings – The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance. Practical implications – In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managersintakingdecisiononmanufacturing andsupplyrisk managementandreducing theuncertaintyupontheirbusiness performance. Originality/value – The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.
    • An Empirical Examination of Benefits, Challenges, and Critical Success Factors of Industry 4.0 in Manufacturing and Service Sector

      Sony, M; Antony, J; McDermott, O; Garza-Reyes, Jose Arturo; Namibia University of Science and Technology, Windhoek, Namibia; Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, United Arab Emirates; College of Engineering an Science, National University of Ireland, Gallway, Ireland; University of Derby (Elsevier, 2021-09-20)
      Industry 4.0 marks a new paradigm and has expanded its domain from theoretical concepts to real-world applications. Industry 4.0 is, however, still in the state of infancy and conceptual state wherein it is not clear as to how to incorporate many dynamic technological concepts in different sectors. Previous studies have conceptually delineated the benefits, challenges, and CSFs of Industry 4.0, however, there is yet to be an empirical study that critically examines the differences in benefits, challenges, and critical success factors (CSFs) of Industry 4.0 in both manufacturing and service industries and rank them. This study through an online survey captures the view of senior management professionals who have experience in Industry 4.0 implementation in major companies in Asia, Europe, and North America. 96 senior management professionals participated in this study through an online survey. The qualitative data on benefits and challenges were analysed using thematic analyses. The quantitative data on critical success factors were ranked using the normalisation of the mean to find the most important factors. Further agreement analysis was conducted in the manufacturing and service sectors for the CSFs. This study identifies the top five benefits and challenges in the manufacturing and service industries. The CSFs for Industry 4.0 was put forward and ranked in both the manufacturing and service industries.
    • Enhancing resiliency of perishable product supply chains in the context of the COVID-19 outbreak

      Shanker, S; Barve, A; Mudulib, K; Kumar, A; Garza-Reyes, Jose Arturo; Maulana Azad National Institute of Technology, Bhopal, India; Papua New Guinea University of Technology, Lae, Morobe Province, Papua; London Metropolitan University; University of Derby; Doon University, India (Taylor and Francis, 2021-03-02)
      Globally, countries are struggling to fulfil customer demands due to the effects of the COVID-19 pandemic on perishable food supply chains (PFSCs). This study aims to analyse the factors influencing PFSCs during the pandemic and improve their resiliency. This is essential as some factors discourage the productive execution of PFSCs and decrease organizational performance, thus lowering stakeholder satisfaction. This study has been conducted in two phases. The first phase, through extensive review and discussion with experts, identifies the influencing factors related to supply chain (SC) disturbances in PFSCs. In the second phase, a hybrid method i.e. g-DANP, a combination of grey-decision making trial and evaluation laboratory and analytic network process, is employed to develop a hierarchical structure to measure their influence. The proposed framework is validated with a case of the current COVID-19 outbreak. The study revealed that factors, restriction on import-export and fear of violation of social distancing guidelines, are the primary “cause” group factors; whereas, price variation of perishable products and panic buying and stockpiling are the crucial “effect” group factors affecting the PFSCs. The findings also enrich existing literature by providing analytical support to relationships between various factors affecting PFSCs during the pandemic. The results of this study can be utilised by decision-makers to anticipate the operative and long-haul effects of COVID-19 on PFSCs and create plans to deal with the pandemic.