• 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.
    • Environmental, social and economic growth indicators spur logistics performance: from the perspective of South Asian Association for regional cooperation countries.

      Khan, Syed Abdul Rehman; Jian, Chen; Zhang, Yu; Golpîra, Hêriş; Kumar, Anil; Sharif, Arshian; School of Economics and Management, Tsinghua University, Beijing, China; School of Economics and Management, Chang'an University, Xi'an, Shaanxi, 710064, China; Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran (Elsevier., 2019-01-04)
      This article examines the association between green logistics operations, social, environmental and economic indicators of SAARC (South Asian Association for Regional Cooperation) countries. The research used GMM (Generalized Method of Moments) and FGLS (Feasible Generalized Least Squares) two methods to tackle the problems of heterogeneity, serial correlation and heteroskedasticity. The findings show that fossil fuel consumption is at the heart of logistics operations; the more fossil fuel and non-green energy resources that are used, the more negative effects on society and environmental sustain-ability result from this. A lower quality of transport-related infrastructure and logistics services is negatively correlated with fossil fuel usage, carbon emissions, health expenditure, greenhouse gas emissions and political instability of SAARC countries. Conversely, efficient customs procedures and greater information sharing among supply chain partners increase trade opportunities and also improve environmental sustainability in terms of minimum carbon emissions due to the shorter waiting and queue times involved. Further, the application of green energy resources and green practices can mitigate negative effects on social and environmental sustainability due to better logistics operations while improving financial performance in terms of higher GDP per capita, trade openness and greater export opportunities around the globe. As there is very limited research using green practices relationship with macro-level indicators in current literature, this research will assist both practitioners and policy makers to understand the roles of green supply chain and green logistics in enhancing environmental sustain-ability, social improvement and economic growth for a better future.
    • Evaluating innovation capabilities of real estate firms: a combined fuzzy delphi and dematel approach.

      Kumar, Anil; Kaviani, Mohamad Amin; Hafezalkotob, Ashkan; Zavadskas, Edmundas Kazimieras; University of Derby; Islamic Azad University, Shiraz, Iran; Islamic Azad University, Shiraz, Iran; Vilnius Gediminas Technical University; BML Munjal University; Islamic Azad University; et al. (Taylor and Francis., 2017-12-20)
      Due to strong competition, numerous technology advancements and the monetary policy of the government, the survival of Indian real estate firms now depends on their capacity to measure their existing innovation capabilities, rebuild them and adopt new ones. The aim of this study is to evaluate the technology and human resources innovation capabilities of Indian real estate firms by applying fuzzy Delphi and DEMATEL techniques. After identifying the innovation capabilities through an extensive literature review, a questionnaire is designed based on fuzzy linguistic scales to manage any vagueness of information received. Data has been collected from experts in the field, with capabilities then finalized by using a fuzzy Delphi method. To establish cause-effect relationships among capabilities, a DEMATEL method is applied to the data collected from a second questionnaire. Analysis of the data divides capabilities into two groups i.e. cause and effect. The results show that innovation management, robustness of product and process design capability, strategic planning and knowledge resources fall in the cause group; these are critical findings given the effect on the other capabilities. The study outcomes can help real estate firms to enhance their capabilities with the proposed model providing guidelines and direction in this regard.
    • Evaluating Key Capabilities for Developing Global Collaborative Networks Using a Multi-Layer Decision-Making Approach

      Mahdiraji, H.A.; Hafeez, K; Kamardi, A.A.A.; Garza-Reyes, Jose Arturo; De Montfort University; University of Tehran, Tehran, Iran; University of Derby (Emerald, 2021-07-07)
      This paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the international market. The present study is contextualised in the Iranian pistachio export industry. An extensive review of the state-of-the-art literature on supplier collaboration was conducted to identify key capabilities that are essential to establish a collaborative network. The set of defined capabilities were then optimised through interviews with 14 experts from the relevant industry, academics and export authorities. A combination of the fuzzy Delphi method and the best–worst method (BWM) approach was, respectively, used to reduce the number of capability alternatives and assign priority weights to these alternatives. Subsequently, a weighted aggregated sum product assessment method (WASPAS) was employed to rank and evaluate the ability to creating a collaborative network for the export of pistachio. From the extant literature review, 18 capabilities for the formation of coordination networks in the international markets were identified. Then, the prominent indicators in forming a global network were extracted. After ranking the top pistachio export countries/regions to formalise an efficient collaborative network, it was revealed that although Iran exports approximately 30% of the global market, it falls behind the USA and European Union. The competitors have scored higher in critical criteria, including “trust and commitment”, “strategy and management”, “managerial control and standardization” and “financial resources”. The proposed hybrid approach encompassing fuzzy Delphi–BWM–WASPAS offers to solve the capability evaluation and selection as well as ranking the possible alternative to formalise a collaborative network in an integrated fashion. This combination of methods is capable to first identify the most important factors, then measuring their importance and eventually rank the possible alternatives. The suggested framework provides an approach to deal with the uncertainty of global collaborative network formation.
    • Evaluating the human resource related soft dimensions in green supply chain management implementation

      Kumar, Anil; Kumar Mangla, S; Luthra, Sunil; Ishizaka, Alessio; University of Derby; University of Plymouth; Government Polytechnic, Jhajjar-124103; University of Portsmouth (Taylor and Francis, 2019-04-25)
      Due to increased carbon emissions, environmental protection initiatives have gained significant attention at global level. One of the major initiatives taken by the industrial sector to minimise the negative environmental effect of the value chain activities is Green Supply Chain Management (GSCM). In industry, soft (human resource-related) dimensions influence the implementation of GSCM process greatly. In the literature, relatively less discussion is provided on assessing the significance of soft dimensions in efficient GSCM acceptance in industry. The present work is an attempt to construct a structural framework for assessing the significance of the soft dimensions in adopting GSCM concepts by taking a case of automotive company in India. A hybrid approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is employed in this work. BWM is used to prioritize the GSCM oriented soft dimensions, and DEMATEL is employed to extract interrelationships among them. The result shows that ‘Top management commitment’, ‘Employee involvement’, ‘Organizational culture’ and ‘Teamwork’ are the highly prioritized causal soft dimensions in efficient GSCM adoption. This research work would help industry managers and practitioners to decide where to concentrate for GSCM concepts in context of soft dimensions for sustainable business development.
    • Evaluating the impact of lean practices on environmental performance: evidences from five manufacturing companies

      Dieste, M; Panizzolo, R; Garza-Reyes, J. A.; University of Derby; University of Padova, Italy (Taylor and Francis, 2019-10-29)
      Previous evidence suggests that both lean and green production paradigms are focused on waste reduction and that lean practices help organizations to enhance sustainability objectives, and particularly environmental performance. However, the impact of lean practices on the environment is still unclear. This study therefore aims to analyse the relationship between lean and environmental performance in manufacturing with a strong empirical focus. This research was conducted in two main stages: first, an extensive review of the relevant literature was carried out, followed by a multiple case study analysis conducted in five manufacturing companies. Onsite data were collected from the firms during a five years’ time span of research and developing semi-structured interviews. Furthermore, a cross-case analysis was carried out to map the results. Findings indicate that the environmental performance of the companies analysed is generally enhanced in the long-term after the implementation of lean. Moreover, the results from the multiple case study suggest that the environmental performance of the firms under analysis is mainly improved by using JIT and TQM practices in a lean transformation context. The research findings provide further results remarking the possible negative impact of practices such as Kanban deliveries, 5S and TPM on various environmental performance indicators.
    • Examining legitimatisation of additive manufacturing in the interplay between innovation, lean manufacturing and sustainability.

      Ghobadian, Abby; Talavera, Irene; Bhattacharya, Arijit; Kumar, Vikas; Garza-Reyes, Jose Arturo; O'Regan, Nicholas; University of Reading; University of East Anglia; University of the West of England; University of Derby (Elsevier, 2018-06-04)
      In response to hypercompetition, globalisation and increasing consumer expectations, many manufacturing firms have embraced lean manufacturing (LM). The primary goal of LM is to reduce/eliminate waste (muda). There is broad consensus as to what constitutes waste, but not on LM implementation. Implementation is not prescriptive with each firm relying on a different combination of administrative, process and routine change / innovation. Lean manufacturing brings about incremental change relying on administrative, process and routine levers. It best fits mass production where process variability is low and demand is high and stable. Lean manufacturing can significantly reduce waste but not eliminate waste, and the attained benefits have not always lived up to expectations. Additive manufacturing (AM) promises to revolutionise manufacturing beyond recognition by eliminating or drastically removing the waste thereby achieving sustainability. But AM is at its formative stage – the space between the concept and growth - where many promising breakthrough technologies fail. To reach its full potential, it needs to achieve high-scale adoption. In this paper, we examine how AM can significantly reduce/eliminate waste and how it can deliver triple bottom line on an unprecedented scale. We contend that AM, if adopted deeply and widely, will take LM to its final frontier, but there are a number of impediments to this end. We identify legitimation as critical to its wide diffusion and develop a number of propositions expediting AM’s legitimation. Legitimation of AM will ensure its deep and broad diffusion and should this happen, waste will be a thing of the past an important stride towards sustainable future.