• 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.
    • Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability

      Kaswan, Mahender Singh; Rathi, Rajeev; Garza-Reyes, Jose Arturo; Antony, Jiju; Lovely Professional University, Punjab, India; University of Derby; Khalifa University, Abu Dhabi, UAE (IEEE, 2021-09-16)
      The increased awareness about effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches like Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This study investigates GLSS implementation barriers, their relationship, and removal of same in manufacturing sector. In this research, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This study pioneers with decision making trial and evaluation laboratory (DEMATEL) with intuitionistic fuzzy set to prioritize barriers and handle the important and causal relationship among the same. The results of the study were validated through intuitionistic fuzzy best worst method (IF-BWM). The results reveal that management-related barriers are the top-ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035 respectively. This provides impetus to policymakers for induction of GLSS in business organization to make harmony between economic development and environmental sustainability.
    • Exploration and Prioritization of Just in Time Enablers for Sustainable Healthcare: An Integrated GRA-Fuzzy TOPSIS Application

      Singh Kaswan, Mahender; Rathi, Rajeev; Singh, Mahipal; Garza-Reyes, Jose Arturo; Antony, Jiju; Lovely Professional University, Phagwara, India; University of Derby; Heriot-Watt University, Edinburgh (Emerald, 2021-06-21)
      The increased healthcare costs, improved service quality, and sustainability-oriented customer demand have forced the healthcare sector to relook their current process. The present work deals with the identification, analysis, and prioritization of Just in Time (JIT) enablers in the healthcare sector. JIT leads to waste reduction, improves productivity, and provides high quality patient care. The practical implementation of JIT depends on vital factors known as enablers. The enablers have been found through the comprehensive literature review and prioritized using responses from different healthcare facilities of national capital region of India. Grey Relational Analysis (GRA) has been used in the present study to rank enablers and ranks were further validated using fuzzy TOPSIS and sensitivity analysis. It has been found that top management support, teamwork, and real-time information sharing are the most significant enablers of JIT in healthcare with grey relational grades 0.956, 0.832, and 0.718, respectively. The corresponding closeness coefficients of the fuzzy TOPSIS for the enablers were found as 0.875, 0.802, and 0.688, respectively. The findings of the present research work will facilitate the healthcare organizations to implement a comprehensive JIT approach that further leads to improved patient care at low cost. The present study is unique in terms of the exploration of the readiness measures or enablers of JIT using GRA and fuzzy TOPSIS. The findings of the present research work will facilitate the healthcare organizations to optimize their resources for better patient care.
    • Exploring industry 4.0 technologies to enable circular economy practices in a manufacturing context: a business model proposal.

      Nascimento, D.L.M; Alencastro, V; Quelhas, O.L.G; Caiado, R.G.G; Garza-Reyes, Jose Arturo; Tortorella, G.L; Federal Fluminense University; Pontifical Catholic University of Rio de Janeiro; University of Derby; National Polytechnic Institute (CINVESTAV); et al. (Emerald, 2018-10)
      Purpose - The purpose of this study was to explore how rising technologies from Industry 4.0 can be integrated with circular economy (CE) practices to establish a business model that reuses and recycles wasted material such as scrap metal or e-waste Design/methodology/approach – The qualitative research method was deployed in three stages. Stage one was a literature review of concepts, successful factors, and barriers related to the transition towards a CE along with sustainable supply chain management, smart production systems, and additive manufacturing. Stage two comprised a conceptual framework to integrate and evaluate the synergistic potential among these concepts. Finally, stage three validated the proposed model by collecting rich qualitative data based on semi-structured interviews with managers, researchers, and professors of operations management to gather insightful and relevant information. Findings – The outcome of the study is the recommendation of a circular model to reuse scrap electronic devices, integrating web technologies, reverse logistics, and additive manufacturing to support CE practices. Results suggest a positive influence from improving business sustainability by reinserting waste into the supply chain to manufacture products on demand. Research implications/originality – The impact of reusing wasted materials to manufacture new products is relevant to minimizing resource consumption and negative environmental impacts. Furthermore, it avoids hazardous materials ending up in landfills or in the oceans, seriously threatening life in ecosystems. In addition, reuse of wasted material enables the development of local business networks that generate jobs and improve economic performance.
    • Exploring lean manufacturing practices' influence on process innovation performance

      Möldner, A.K., Garza-Reyes, J.A., Kumar, V.; University of Derby (Elsevier, 2018-10-17)
      Little is known about the effects of lean manufacturing practices on the process innovation performance of manufacturing organisations. This research aims to fill this gap and explore the aforementioned interdependency. A research framework consisting of 22 measurement scales and three pairs of hypotheses was developed based on an extensive literature review. A large-scale self-administered questionnaire was distributed among appropriately selected industrial experts. Datasets obtained from 340 usable responses were analysed through confirmatory factor analysis, descriptive statistics, correlations, and multiple linear regression models. The findings suggest that both technical and human lean practices have a moderate to strong positive impact on the input and occurrence of incremental and radical process innovation in manufacturing organisations. In turn, as an output of process innovation, this appears to enhance companies' operational performance. Thereby, the results dispel the scholarly and managerial misconception that LM and innovation are difficult to coexist.
    • Exploring the Challenges of Electric Vehicle Adoption in Final Mile Parcel Delivery

      Anosike, Anthony; Loomes, H; Udokporo, C.K.; Garza-Reyes, Jose Arturo; University of Derby (Taylor & Francis, 2021-09-23)
      The rise in e-commerce has increased last mile parcel deliveries, in turn affecting the sustainability of transport. With the worldwide efforts to minimise fossil fuel use including the UK Government's plans to end the sales of new petrol and diesel vehicles by 2035, alternative fuels need to be explored. Currently one of the most promising solutions is the electric vehicle which produces zero tailpipe emissions. This paper aims to explore the challenges of adopting Electric Vehicles (EVs) in final mile parcel deliveries, and thus identify potential directions for future research. To achieve this, we developed a systematic literature review to better understand the nature of these challenges and to provide a background from which to acquire more information from leading logistics companies in the form of in-depth interviews. We found that the companies encountered different challenges based on their fleet sizes, schedule and capacity to implement the required structural and infrastructural changes to support the efficient running of their last mile delivery operations on EVs.
    • Facilitating students’ (doctoral) transition to the workplace: A critical review

      Upadhyay, A., Kumar, V., Garza-Reyes, J.A.; University of Derby (Routledge, 2019-05-21)
      The recent ongoing changes to the UK higher education sector have put immense pressure on both academics and students. Where academics are working hard to enhance the quality of the educational product, students, on the other hand, are struggling with the rising tuition fees and the challenging labour market. As a result securing a good job after graduation depends on how a student has managed to excel in gaining experience beyond the classroom and developing key skills through their time at university. This becomes particularly challenging in the current era, where globalisation brings further challenges and opportunities to the university sector, to seize the market advantages for those establishments able to respond in a timely and flexible way with appropriate innovation and internationalisation strategies. Doctoral researchers are an integral part of the student community. Hence it is important that universities assure the successful transition of these doctoral students to their workplace and externally. This study, therefore, attempts to provide a critical review on facilitating the doctoral students’ transition to the workplace through doctoral research positions and the role played by their PhD supervisors. The study methodology uses existing literature and interviews with students and faculty members to draw out experiences and perspectives. The results of this research can be applicable to any higher education institution in the UK and to other countries where the academic system is similar.
    • Fostering economic growth, social inclusion and sustainability in industry 4.0: a systemic approach

      Mendoza-del Villar, L; Oliva-Lopez, E; Luis-Pineda, O; Benešová, A; Tupa, J; Garza-Reyes, Jose Arturo; Instituto Politécnico Nacional-ESIME, Mexico; Instituto Politécnico Nacional-ESE, Mexico; University of West Bohemia-Faculty of Electrical Engineering; University of Derby (Elsevier, 2020-11-19)
      The most modern and mature industrial manufacturing revolution is known as Industry 4.0 (I4.0). Technological advance seeks to minimize all sorts of waste, optimizing the firm's performance operations aligning this its competitive advantage. While in developing economies often overlooked the society and environment under the current neoliberalism strategy, whose competitive approach is enforced by the State, with a detriment of local SMEs such as Mexico. Thereby, to lead I4.0 implementation for SMEs, the role of the State for a long-term strategic approach is of utmost importance. The industrial strategy should regard the imminent industrial revolution without leaving behind environmental and social dimensions to implement it, like the Scandinavian economies example. This research proposes the soft systems methodology for dealing with the sustainable complexity context and inclusive industrial development phenomena. Its holistic nature provides useful insights that devise how I4.0 and social inclusion fit into the Mexican context. The theoretical proposal builds upon the social inclusion state-of-the-art in the industry 4.0 and a survey for an affordable I4.0 initiative through a stakeholder system's network communication approach. The inclusive strategy is an effort to align root systems for sustainable development with stakeholders for Mexican SMEs in the manufacturing sector.
    • A Framework for Assessing Sustainability in Multi-tier Supply Chains using Empirical Evidence and Fuzzy Expert System

      Shayganmehr, Masoud; Kumar, Anil; Lutha, Sunil; Garza-Reyes, Jose Arturo; Tarbiat Modares University, Tehran, Iran; London Metropolitan University; Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar, Haryana, India; University of Derby (Elsevier, 2021-07-12)
      This study investigates various factors for assessing sustainability in Multi-tier Supply Chains (MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system. After an extensive literature review, four research questions were formulated and a questionnaire designed. From its distribution, 152 responses were collected from the textile industry. Exploratory Factor Analysis (EFA) was employed to determine the most effective factors that could contribute to the evaluation of extensive aspects of sustainability in MtSCs as well as recognize the importance of constructs. The categorized constructs based on their importance included “Environmental issues”, “Economic issues”, “Policy and governance”, “Participation”, “Social issues”, “Transparency” and “Leadership and support”. A comprehensive rating for evaluating sustainability by indicating a readiness score and linguistic variables for each construct was developed in the form of a “fuzzy expert system”. The developed fuzzy expert system was applied in an Iranian textile company to assess its readiness status as a case application. The results indicated that the company had the highest and lowest readiness in “Transparency” and “Environmental issues” with total readiness scores of 2.65 and 0.17 respectively. The finding recommends that the company should pay more attention to environmental issues such as making a cutback on utility consumption and increasing recycled materials. The framework’s validity was measured around 90% based on the satisfaction of experts’ judgments, which enables the framework to be applied in different industrial settings. Theoretically, the findings contribute to the Resources-Based View (RBV) theory, with a focus on the sustainability of MtSCs, by unveiling a comprehensive set of factors for assessing sustainability and recognizing external and internal strategic resources that lead firms to sustainable competitive advantages.
    • A framework for the integration of green and lean six sigma for superior sustainability performance

      Benhida, Khalid; Garza-Reyes, Jose Arturo; Govindan, Kannan; Elfezazi, Said; Cherrafi, Anass; Mokhlis, Ahmed; University of Derby (Taylor and Francis, 2016)
      Evidence suggests that Lean, Six Sigma and Green approaches make a positive contribution to the economic, social and environmental (i.e. sustainability) performance of organizations. However, evidence also suggests that organizations have found their integration and implementation challenging. The purpose of this research is therefore to present a framework that methodically guides companies through a five stages and sixteen steps process to effectively integrate and implement the Green, Lean and Six Sigma approaches to improve their sustainability performance. To achieve this, a critical review of the existing literature in the subject area was conducted to build a research gap, and subsequently develop the methodological framework proposed. The paper presents the results from the application of the proposed framework in four organizations with different sizes and operating in a diverse range of industries. The results showed that the integration of Lean Six Sigma and Green helped the organizations to averagely reduce their resources consumption from 20% to 40% and minimize the cost of energy and mass streams by 7-12%. The application of the framework should be gradual, the companies should assess their weaknesses and strengths, set priorities, and identify goals for successful implementation. This paper is one of the very first researches that presents a framework to integrate Green and Lean Six Sigma at a factory level, and hence offers the potential to be expanded to multiple factories or even supply chains.
    • A framework to achieve sustainability in manufacturing organisations of developing economies using Industry 4.0 technologies’ enablers

      Yadav, G; Kumar, Anil; Luthra, S; Garza-Reyes, Jose Arturo; Kumar, V; Batista, L; Veermata Jijabai Technological Institute, Mumbai, India; London Metropolitan University; Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar, Haryana, India; University of Derby; et al. (Elsevier, 2020-07-07)
      Sustainability has emerged as one of the most important issues in the international market. Ignorance of sustainability aspects has led many manufacturing organisations to face huge financial losses. It has been observed that developed nations have successfully achieved sustainability in their manufacturing sectors. However, the rate of sustainability adoption in developing nations is significantly poorer. The current business trend offers new technologies such as the Internet of Things, Big data analytics, Blockchain, Machine learning, etc. These technologies can be termed under the Industry 4.0 paradigm when considered within a manufacturing context. It is significant to notice that such new technologies directly or indirectly contribute to sustainability. So, it is necessary to explore the enablers that facilitate sustainability adoption. This study aims to develop a framework to improve sustainability adoption across manufacturing organisations of developing nations using Industry 4.0 technologies. Initially, the enablers that strongly influence sustainability adoption are identified through a literature review. Further, a large scale survey is conducted to finalise the Industry 4.0 technologies’ enablers to be included in the framework. Based on the empirical analysis, a framework is developed and tested across an Indian manufacturing case organisation. Finally, Robust Best Worst Method (RBWM) is utilised to identify the intensity of influence of each enabler included in the framework. The findings of the study reveal that managerial and economical, and environmental enablers possess a strong contribution toward sustainability adoption. The outcomes of the present study will be beneficial for researchers, practitioners, and policymakers.
    • From linear to circular manufacturing business models

      Garza-Reyes, J.A.; University of Derby (Emerald, 2019-04-15)
      Purpose - This editorial piece introduces the special issue titled ‘From Linear to Circular Manufacturing Business Models’. Design/methodology/approach - The ‘Background and Motivation’ section provides an overview of the current practical environmental challenges faced by the manufacturing sector, mainly due to the use of linear business models, and it argues the potential benefits of adopting the circular economy concept as a potential solution to address such challenges. This section also exposes the limitations of scholarly research in this field. On the other hand, the ‘Features and Areas of the Special Issue Contributions’ section discusses the themes and related inter-disciplinary topics that were considered in the special issue. Findings - The editorial concludes with a summary of the accepted papers in terms of the specific topics they address and their main contributions to the domain of manufacturing technology management, with specific focus on how circular economy can intervene, support and contribute to deliver more economic, social and environmentally sustainable manufacturing operations and processes, and in this way help to address some of the most critical challenges we are currently confronting as humankind, i.e. environmental degradation. Originality/value - Four articles that characterise good and state-of-the-art research work spans from a variety of leading edge research in the area of circular economy, with particular application in the design, management and improvement of manufacturing operations, processes and technology were selected. These papers illustrate the different practical approaches and theoretical perspectives considered by the authors to effectively use/integrate CE into manufacturing operations and processes.
    • From measuring overall equipment effectiveness (OEE) to overall resource effectiveness (ORE).

      Garza-Reyes, Jose Arturo; University of Derby (Emerald, 2015-10-12)
      Purpose – Overall equipment effectiveness (OEE) provides a quantitative metric based on the elements availability, performance and quality for measuring the performance effectiveness of individual equipment or entire processes. Although these elements are important, other performance factors such as the efficient use of raw materials and the production environment (e.g. production system, logistics, labour, etc.) in which the equipment or process operates may also have a significant contribution to process performance. The purpose of this paper is to present an alternative measure derived from OEE, overall resource effectiveness (ORE), which considers these factors. Design/methodology/approach – The paper reviews the OEE’s background and explores its limitations. Then, it shows the conceptual and mathematical development of the ORE measure and the formulas used for its calculation. Empirical and simulation-based investigations and applications of ORE are carried out through two cases study for its validation. Findings – The results derived from both the empirical and simulation-based investigations demonstrate that OEE may not be an appropriate measure for some specific processes and that ORE may offer a more complete perspective on and information of key performance indicators. Practical implications – ORE can provide production managers with more complete information concerning the performance of their processes. This will allow them to take better decisions regarding the management and actions needed to improve their processes. Originality/value – This paper presents a novel and alterative approach to measure the performance of manufacturing equipment and processes.
    • Fuzzy Delphi and hybrid AH-MATEL integration for monitoring of paint utilization

      Kumar, Anil; Mussada, Eswara Krishna; Ashif, Mohammed; Tyagi, Divakar; Srivastava, Ashish Kumar; BML Munjal University (University of Maribor, 2017-03-07)
      This study investigates the unattended aspects of paint utilization selection criteria in industries. In today competitive business environment almost all companies focus towards sustainable manufacturing. The utilization evaluation and selection criteria for paint and its consumption reduction is the top priority for industry. Especially in automotive industries, paint shop stands as a centre for hazardous waste due to wastage of paint and thinner during the painting process. This research work focuses on optimizing consumption of paint by finding most important criteria affecting paint consumption and optimizing the same to achieve maximum paint yield. The study uses the routes of Delphi technique in a fuzzy environment to find out the most important criteria for paint utilization selection, so that maximize utilization and minimize consump-tion reduction of paint has been achieved. An integrated approach of AHP and DEMATEL methods has been implemented to prioritize the criteria and to familiarize the relationship within criteria. The outcomes of the study substantiate and proves that this study is the best way to select a particular paint utilization selection criteria for the paint shop and also to anticipate the optimal level of paint utilization.
    • Fuzzy rule-based industry 4.0 maturity model for manufacturing and supply chain management operations

      Caiado, R.G.G.; Scavarda, L.F.; Gavião, L.O.; Ivson, P; de Mattos Nascimento, D.L.; Garza-Reyes, Jose Arturo; Pontifical Catholic University of Rio de Janeiro; Escola Superior de Guerra, Brazil; Federal University of Santa Catarina, Brazil; University of Derby (Elsevier, 2020-07-30)
      Industry 4.0 (I4.0) aims to link disruptive technologies to manufacturing systems, combining smart operations and supply chain management (OSCM). Maturity models (MMs) are valuable methodologies to assist manufacturing organizations to track the progress of their I4.0 initiatives and guide digitalization. However, there is a lack of empirical work on the development of I4.0 MMs with clear guidelines for OSCM digitalization. There is no I4.0 MM with an assessment tool that addresses the imprecision brought by human judgment and the uncertainty and ambiguity inherent to OSCM evaluation. Here we develop a fuzzy logic-based I4.0 MM for OSCM, through a transparent and rigorous procedure, built on a multi-method approach comprising a literature review, interviews, focus groups and case study, from model design to model evaluation. To provide a more realistic evaluation, fuzzy logic and Monte Carlo simulation are incorporated into an I4.0 self-assessment readiness-tool, which is connected with the model architecture. The proposed model has been validated through a real application in a multinational manufacturing organization. The results indicate that the approach provides a robust and practical diagnostic tool, based on a set of OSCM indicators to measure digital readiness of manufacturing industries. It supports the transition towards I4.0 in OSCM domain, by holistically analyzing gaps and prescribing actions that can be taken to increase their OSCM4.0 maturity level.
    • Green and lean: a Gemba–Kaizen model for sustainability enhancement.

      Cherrafi, A; Elfezazi, S; Hurley, B; Garza-Reyes, Jose Arturo; Kumar, V; Anosike, Anthony; Batista, L; Cadi Ayyad University; Rockwell Collins Inc.; University of Derby; et al. (Taylor and Francis, 2019-05-10)
      Despite the encouraging results obtained from the application of Green Lean, organizations have found the integration of Green and Lean, and their implementation as an integrated approach, challenging, especially when resources are limited. This paper aims to overcome some of these challenges by presenting a model for integrating Lean and Green based on the Gemba-Kaizen approach. The objective is to help organizations reduce their environmental waste in a practical and easy manner with limited resources. The proposed model was developed on the basis of a through literature review on Gemba and Kaizen, conducted on peer–reviewed journal articles and pragmatic books with managerial impact on the subject, and the more than 40 years of accumulated experience of the authors as academics, researchers, industrialists and consultants after having worked on a number of projects for multinational organisations that wanted to implement Lean Six Sigma and/or environmental management systems in various industrial sectors. The model was validated through two cases study in the aerospace and automotive industries. The results showed that the proposed model helped the case organizations to reduce the consumption of resources and improve their environmental performance. The proposed model can be the basis for further research on Lean and Green, contributing to help organizations to improve their sustainability performance. This research presents a first attempt to develop a model which integrates Lean and Green based on a combined Gemba-Kaizen approach.
    • Green lean and the need for six sigma.

      Garza-Reyes, Jose Arturo; University of Derby (Emerald, 2015-08-03)
      Purpose – The purpose of this paper is to critically review the green lean approach and highlight its limitations; examine the compatibility of the green, lean and Six Sigma concepts; and propose Six Sigma, and specially its problem-solving methodology DMAIC, as an approach to help enhancing the effectiveness of green lean initiatives. Historically, profitability and efficiency, and more recently customer satisfaction, quality and responsiveness objectives have been the prevailing interest for organisations. However, the move towards greener operations and products has forced companies to seek alternatives to combine these with green objectives and initiatives. Green lean is the result of this combination. Thus, the paper conceptually proposes Green Lean Six Sigma. Design/methodology/approach – To do this, a systematic literature review (SLR) of the subjects under investigation was conducted. Findings – The SLR indicated that the green lean integration may have inherited the same limitations as the individual green and lean approaches, but these may be overcome through the integration of Six Sigma. It also identified the similarities of some of the main attributes of green, lean and Six Sigma, which suggest their compatibility to be unified as an integrated approach. Practical implications – The paper allows scholars to develop a deeper and richer knowledge on the simultaneous deployment of green and operational improvement initiatives and help practitioners in formulating more effective strategies for their deployment. Originality/value – The paper is one of the very first researches that investigate the potential benefits of integrating green lean and Six Sigma.
    • How selection of collaborating partners impact on the green performance of global businesses? An empirical study of green sustainability

      Ramanathan, U., Mazolla, E., Mohan, U., Bruccoleri, M., Awasthi, A., Garza-Reyes, J.A.; University of Derby (Taylor & Francis, 2020-07-27)
      In recent days, both collaboration and sustainability have become an integral part of many global supply chains to achieve business excellence. Although previous literature and actual practices confirmed the successful implementation of sustainability practices through supply chain collaborations, it is not clear how collaborating partners can support financial and environmental performance, and hence strengthen the partnership performance in the global supply chains. To address this practice-based research question, we test the theoretical underpinning of suppliers and logistics partners in relation to required skills selection. We capture the depth of interdependencies in collaborations for routine operations and sustainability, through empirical evidence. We used case study observations from three global companies to develop a conceptual model and also conducted a questionnaire survey to test the conceptual model. The results of case analysis confirmed two dimensions of collaborations that could strengthen relationship; namely, partners’ selection and sustainability team formation. Data analysis strongly support business collaborations having careful choice of supply chain partners and logistics operators who are ready to maintain green operations with transparent information sharing. Results of this study also inform managers about the importance of commitment from collaborating partners to achieve sustainability in their global supply chains. It is clear from the results that both the business and financial performances will be strengthened by environmental positioning (green objectives) of the companies.
    • How supplier selection criteria affects business performance? A study of UK automotive sector

      Navasiri, Pabhavi; Kumar, Vikas; Garza-Reyes, Jose Arturo; Lim, Ming K.; Kumari, Archana; The University of Derby (Nottingham University Business School, 2016-07-03)
      According to KPMG international (2015), global sales of automobiles are forecasted to reach 73.9 million vehicles and expected to hit 100 million units in the next two years. This shows that automotive sector has a tremendous growth potential and UK automotive sector is no different. However, in recent years the growing environmental awareness has become a major concern for automotive sector as they are faced with pressure of reducing carbon emissions as well as the costs. Suppliers play a significant role in achieving environmental goals set by organisations. Under these circumstances it is worth exploring the criteria that are used in assessing suppliers including the green aspects and how that affects the business performance. Design/methodology/approach: This research adopts a mixed method research approach. In order to collect the quantitative data a survey questionnaire was constructed and sent to automotive businesses listed in the FAME database. In order to triangulate the findings of this study, survey was complemented with in-depth interviews. Around 100 automotive manufacturers were invited for the survey however only 38 usable responses were received. In total seven semi-structured interviews were also conducted with people from different backgrounds and work experiences in the automotive sector. Findings: Literature identified delivery, cost, quality and technology as the supplier assessment criteria commonly used in assessing suppliers in automotive industries. Yet the issue of culture and green supply chain practices (GSP) were also widely concerned in several studies. The data analysis showed that delivery, quality, cost, technology, culture are correlated with exception of green supply chain practices. GSP was only found to be correlated with technology and cultural criteria. Semi-structured interviews suggest delivery and quality as the most important criteria when assessing supplier because of their greater impact toward business performance and reputation. Findings from all respondents also showed that most automotive manufacturers have already adopted environmental competency in their criteria. However, interviewees mentioned that this criterion does not take a major role in assessment compared with other criteria. The results also indicate that all factors studied do affect the business performance of automotive organisations. Value: This study contributes to the limited literature focused on assessing supplier selection criteria and business performance linkage in the UK automotive organisations. In addition, most studies on supplier selection and business performance ignore the green practices as important criteria which this study aims to address. Research limitations/implications: The study is based on the findings from a limited survey responses and semi-structured interviews. Having larger sample population would certainly improve the validity of the findings. The perspective of SMEs and large businesses with regard to each supplier selection criterion may be different hence the future research in this domain would also provide some valuable contributions. Practical implications: The survey responses indicate green supply practices as one of the important criteria in supplier selection. This suggests that automotive manufacturers should realize the importance of green practices while selecting their suppliers. This will help them to meet their own green goals while simultaneously meeting the government environmental.
    • How sustainable is short food supply chains? A comprehensive systematic review

      Kumar, V.; University of Derby (IEOM Society, 2019-03)
      Growing awareness towards the sustainability has compelled supply chain domain experts to explore its relevance in this context. As a result, a number of studies in recent years have focused on investigating sustainable supply chain practices across the globe. Short food supply chains (SFSCs) have emerged as a promising sustainable alternative to the industrialized agro-food supply systems. However, academic literature hasn’t fully explored the linkage between SFSCs and sustainability. This study therefore aims to explore how SFSCs conforms to the dimensions of sustainability using the sustainability framework (social, economic, and environmental). The findings are based on a systematic literature review of 44 articles published between 2000 and 2018 selected from six electronic databases was used for the analysis. All items were properly analyzed by the researchers, seeking to identify the relationship or proximity of the information found in the papers with the SFSC concept. Our studies highlight the societal, environmental and cultural benefits of SFSC in addition to the associated economic and safety benefits. Our study thus, adds to the scant literature on SFSCs and shows a clear linkage between SFSCs and five-dimensional sustainability framework. We also propose a set of research questions that sets direction for future research.