We know the importance of efficient, sustainable supply chain operations to the growth of the economy and to service the daily needs of industry and consumers. Our relationship with the Chartered Institute of Purchasing and Supply, as well as the Chartered Institute of Logistics and Transport, keeps our thinking relevant, meaningful and clear. It’s not thinking in a bubble; it’s thinking about business. Our academic work is led by your industry needs. Our research solves real challenges and our knowledge transfer activity helps you advance your business operations. Competitive advantage in your market is our goal.

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Centre for Supply Chain Improvement

Recent Submissions

  • Scoping review of the readiness for sustainable implementation of lean six sigma projects in the manufacturing sector

    Shokri, A., Antony, J., Garza-Reyes, J.A., Upton, M.; Northumbria University; Heriot-Watt University, Edinburgh; University of Derby; University of York (Emerald, 2021-01-11)
    This work presents a synthesis of current literature published from 2010 to provide an overall understanding of the sustainable implementation of Lean Six Sigma (LSS) projects in terms of project approaches rather than outcomes. A comprehensive and validated ten-step model was applied to conduct a scoping review (SR) with the following three broad phases: “review planning”, “review execution”, and “review reporting”. The analysis shows that while a few geographically and methodologically broad research studies have been conducted on LSS and green manufacturing integration, no studies have examined organisational culture or conducted readiness assessments on the sustainable implementation of LSS projects in the manufacturing sector. The present study contributes to existing knowledge by describing the current state of research on green LSS integration. The study also identifies a lack of research on the deployment of sustainable LSS projects for manufacturers. Further empirical analyses that include case studies must be conducted to assess the negative environmental impacts of LSS projects. This study serves as an initial call for practitioners and research scholars to favour the sustainable deployment of LSS projects in manufacturing alongside the use of traditional approaches with a focus on costs, quality and delivery.
  • A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems

    Salazar-Reyna, Roberto; Gonzalez-Aleu, Fernando; Granda-Gutierrez, Edgar M.A.; Diaz-Ramirez, Jenny; Garza-Reyes, Jose Arturo; Kumar, Anil; Universidad de Monterrey, San Pedro Garza Garcia, Mexico; University of Derby; London Metropolitan University (Emerald, 2020-12-07)
    The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining, and machine learning to healthcare engineering systems. A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest, and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors, and content. From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field. The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors’ previous knowledge and the nature of the publications were used to select different platforms. To the best of the authors’ knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining, and machine learning applied to healthcare engineering systems.
  • A review of challenges and opportunities of blockchain adoption for operational excellence in the UK automotive Industry

    Upadhyay, Arvind; Ayodele, J; Kumar, Anil; Garza-Reyes, Jose Arturo; University of Brighton; University of the West of Scotland London Campus, London; London Metropolitan University; University of Derby (Emerald, 2020-11-20)
    This paper aims to explore the challenges and opportunities of blockchain technology adoption from the lens of the TOE framework for operational excellence in the UK automotive industry context. The research methodology of this study follows a systematic review approach, which analyses existing academic published research papers in the top 35 academic journals. There was no specific timeframe established for this study and shortlisting the articles through a set of used keywords. A sample of 71 articles was shortlisted and analysed to provide a discussion on technological and management challenges and opportunities of blockchain adoption from the lens of the TOE framework for operational excellence. Findings– The findings of this study present significant theoretical and managerial implications and deep understanding for firms seeking to understand the challenges and opportunities of blockchain adoption for their operational excellence. Systematic literature approach was considered for the present study to explore existing academic papers on technological and management challenges and opportunities from the lens of TOE framework for operational excellence, whereas a more specified method meta-analysis can be considered for future research. The study has been explored in the UK automotive industry context, which has been considered as the limitation of generalization across countries and industries. This paper represents the most comprehensive literature study related to the technological and management challenges and opportunities of blockchain from the TOE framework angle for operational excellence.
  • Lean production myths: An exploratory study

    Saurin, Jose T; Tortorella, G; Soliman, M; Garza-Reyes, Jose Arturo; Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Universidade Federal de Santa Catarina, Florianopolis, Brazil; The University of Melbourne; Universidade Federal de Santa Maria, Santa Maria, Brazil; University of Derby (Emerald, 2020-11-25)
    Tthis paper presents an exploratory investigation of myths on lean production (LP), by identifying, dispelling, and assessing their pervasiveness. A list of myths was proposed mostly based on seminal LP texts and our rich experience from researching, teaching, and consulting in lean journeys. Complexity thinking was adopted as a lens for dispelling the myths, as it challenged generalizations implied in myths. An investigation of the pervasiveness of the myths was conducted, based on a survey with 120 academics and practitioners. Ten myths were identified and dispelled. Survey’s results indicated that belief in lean myths was more common among less experienced practitioners (< 10 years), while experience was not a relevant factor for academics. The lean myths partly reflect the experience of the authors. Furthermore, a larger sample size is necessary for a full analysis of pervasiveness. The lean myths might be underlying barriers to LP implementation (e.g., lack of knowledge of managers and workers), and they might be proactively accounted for in lean training and education programs. This is the first work to explicitly frame a set of lean myths.
  • Industry 4.0 enablers for a cleaner production and circular economy within the context of business ethics: a study in a developing country

    Shayganmehr, Masoud; Kumar, Anil; Garza-Reyes, Jose Arturo; Moktadir, Abdul; Tarbiat Modares University, Tehran, Iran; London Metropolitan University; University of Derby; University of Dhaka, Dhaka, Bangladesh (Elsevier, 2020-11-26)
    To achieve sustainability, businesses are adopting Cleaner Production (CP) and Circular Economy (CE) practices for producing better quality products at the lowest cost while decreasing the negative environmental impact of their operations. The implementation of these practices is highly influenced by Industry 4.0 technology’s enablers, particularly within the context of ethical and sustainable business development. In this paper, a novel framework is proposed to assess the importance of Industry 4.0 enablers for implementing CP practices embedded in CE in the context of ethical societies and assess an industry’s readiness. Firstly, the most effective context-related Industry 4.0 enablers are extracted from previous studies and validated through a Fuzzy Delphi method. Secondly, the Interval-Valued Fuzzy Sets (IVFS) based Analytical Hierarchy Process (AHP) method is applied to evaluate the enablers’ weight. Due to existing ambiguities in the enablers, IVFS was applied to model the uncertainty in an interval [0,1]. The final results indicate that the most important enablers are “Technical Capability”, “Security and Safety”, Policy and Regulation”, “System Flexibility”, “Education and Participation” and “Support and Maintenance” respectively. Thirdly, the Fuzzy Evaluation Method (FEM) was followed to evaluate the readiness score of Industry 4.0 enablers for implementing CP practices embedded in CE and evolving ethical principles of corporate social responsibility. This paper contributes to the CP, CE and ethics body of knowledge by proposing a framework for assessing wider dimensions of Industry 4.0 enablers during the implementation of CP and CE practices and providing ethical and sustainable business development.
  • 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.
  • 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.
  • 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.
  • A review of lean and agile management in humanitarian supply chains: analysing the pre-disaster and post-disaster phases, and future directions

    Upadhyay, A., Ayodele, J., Kumar, A., Garza-Reyes, J.A.; University of Brighton; Manchester Metropolitan University; University of Hull; University of Derby; Middlesex University, London (Taylor & Francis, 2020-10-21)
    Disasters have quadrupled over the last two decades leading to unprecedented loss of life. The objective of disaster-focused humanitarian supply chains (HSCs) is to ensure saving maximum lives with limited resources; despite severe uncertainties. Therefore, significant research has investigated lean and agile in HSCs; to effectively source and speedily deploy resources, with minimum wastage; in each disaster life-cycle phase. However, the literature and research findings are currently highly disjointed regarding how lean and agile principles may be aligned with different HSC activities in the disaster management lifecycle; and do not provide a collective understanding for practitioners and researchers. This paper reviews and organises the literature on HSCs in relation to lean and agile paradigms, focusing on the pre-disaster (mitigation and preparedness) and post-disaster (response and recovery) phases. Findings reveal, all phases benefit from both lean and agile, with agile benefiting the response phase most. The phases are inter-dependent and identifying optimum decoupling points for lean and agile principles are crucial. Majority research has focused on individual or a couple of phases. Therefore, authors recommend research on integrating the functions of the different phases by employing lean and agile principles, to generate rapid response, economies of scale and cost minimisation
  • Proposition of a method for stochastic analysis of value streams

    Luz, G., Tortorella, G.L., Bouzon, M., Garza-Reyes, J.A., Gaiardelli, P.; Universidade Federal de Santa Catarina, Brazil; The University of Melbourne; University of Derby; Università degli Studi di Milano (Taylor & Francis, 2020-10-19)
    This article aims at proposing a method to stochastically analyze values streams taking into consideration the effect of critical uncertainty sources on lead time. The proposed method combines value stream mapping (VSM) and Monte Carlo simulation to identify improvement opportunities. To illustrate this approach, we carried out a case study in the special nutrition value stream of a Brazilian public hospital. Results show that the proposed method allows the identification of improvement opportunities that would not be considered in the classical deterministic VSM approach. Further, the integration of the stochastic analysis enables the determination of a more realistic lead time, which supports a more assertive planning and scheduling of the value stream. The proposed method addresses a fundamental gap in traditional VSM without adding much complexity to the analysis procedure, which is a common practical issue in previous works that integrated other stochastic methods into VSM.
  • Supply chain management 4.0: Literature review and research framework

    Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., Garza-Reyes, J.A.; University of Derby (Emerald, 2020-09-23)
    This article presents a review of the existing state-of-the-art literature concerning Supply Chain Management 4.0 (SCM 4.0) and identifies and evaluates the relationship between digital technologies and Supply Chain Management. A literature review of state-of-the-art publications in the subject field and a bibliometric analysis were conducted. The paper identifies the impact of novel technologies on the different supply chain processes. Furthermore, the paper develops a roadmap framework for future research and practice. The proposed work is useful for both academics and practitioners as it outlines the pillar components for every supply chain transformation. It also proposes a range of research questions that can be used as a base to guide the future research direction of the field. This paper presents a novel and original literature review-based study on SCM4.0 as no comprehensive review is available where bibliometric analysis, motivations, barriers and technologies’ impact on different SC processes have been considered.
  • Benchmarking of sustainability to assess practices and performances of the management of the end of life cycle of electronic products: a study of Brazilian manufacturing companies

    Gonçalves da Costa, L., Espíndola Ferreira, J.C., Kumar, V., Garza-Reyes, J.A.; Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil; University of the West of England; University of Derby (Springer, 2020-09-22)
    The relentless pursuit of lower production costs causes companies to invest in more efficient production systems so that they can remain economically competitive, while the actions focusing on more sustainable operations from an environmental point of view are usually performed to meet the political government regulating environmental control. However, it is common for companies to focus their efforts to minimize the environmental impacts at an early stage of the product life cycle, neglecting sustainability management in the post-use phase. Given the context, this study seeks to develop sustainability indicators that can be used by the electronics industry to assess the level of practice and performance during production that are related to product recovery after the use phase, in order to better understand how companies are acting to reduce the environmental impacts of their products at the end of their life cycle. Initially, critical success factors related to environmental management of the product’s end-of-life are obtained. Then, some of those critical success factors are prioritized, giving rise to the indicators of sustainability used in the benchmarking method. Benchmarking was performed in electronics Brazilian companies, and the data was obtained by means of a questionnaire and interviews. It is concluded from the results that the proposed indicators are suitable for measuring the levels of practices and performance of the participant companies in environmental management at the end of the product life cycle as the indicators were able to portray faithfully the reality of each company.
  • 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.
  • Specialized business incubators as a strategy for small and medium-sized enterprises in the industry 4.0 era – a systemic approach

    Bosques-Brugada, G., Mendoza-del Villar, L.A., Oliva-López, E., Garza-Reyes, J.A., Tupa, J.; University of Derby (IEOM Society, 2020-08)
    The present research aims to get a holistic view of the characteristics of specialization in business incubators models. This paper centers on building a general framework by taking into account a holistic look at the features, profiles, advantages, and disadvantages of specialization in business incubators models. The strategy aims to impact mainly stakeholders by adopting business incubators strategies, especially to those tenant firms of the manufacturing sector related to emerging technologies such as Industry 4.0 technologies. Moreover, the framework is built based on the discussion of the leading representatives' heads of the specialization in the field of specialized business incubators' models. The strategy aims to reduce the current short-term death rate expectancy prevailing in the contemporary economic context by a robust business model for business incubation. Business incubators hold tenants into a hub with not only supportive facilities for the business without investing vital capital, which is not part of their core chain value but also harnessing the closer source of knowledge transfer and skilfully workforce-related on these technologies. Finally, remarks and recommendations are proposed for futures tenant companies' prospects, who wish to reduce the bankruptcy risk by boosting innovative goods and services with high technological development in a specific field of knowledge.
  • Supplier selection for smart supply chain: An adaptive fuzzy-neuro approach

    Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., Garza-Reyes, J.A.; Moulay Ismail University, 50500 Meknes, Morocco; University of Derby (IEOM Society, 2020-08)
    In recent years, companies have experienced international changes that have occurred as a result of technological advances, market globalization, or natural disasters. So, organizations are trying to improve their performance in order to be more competitive. In other words, organizations’ competitiveness highly depends on their suppliers. At present, companies need to consider and include so-called ‘resilience’, ‘sustainability’, and ‘smartness’ in the supplier’s selection to retain a competitive advantage. In this context, the purpose of this paper is to present an intelligent decision-making model for selecting the appropriate suppliers. For doing so, a set of criteria evaluation was determined to respond to the novel era circumstances. The suggested work is helpful for academics as well as professionals as it emphasizes the importance of resilient-sustainable supplier selection in the digital era.
  • Achieving resilience in the supply chain by applying IoT technology

    Al-Talib, M., Melhem, W.Y., Anosike, A.I., Garza-Reyes, J.A., Nadeem, S.P., Kumar, A.; University of Derby (Elsevier, 2020-08-18)
    In the past few decades, competition has increased between organizations as a result of globalization and fast development in IT. Companies these days are continuously looking to expand their market geographically to attract new customers. With that in mind, the main concern of companies is to achieve their customers’ requirements, which makes the supply chain (SC) longer and more complex. This leads to increased difficulty in managing the SC along with controlling risks and disruptions in SC. Such as loss of a critical supplier, a fire accident in the production facility, or an act of terrorism. To deal with these risks, SC must be designed to provide an efficient and effective response, keep its process working and be capable of recovering to their original state after disruptive events, this is considered as the core of supply chain resilience (SCRes). Furthermore, companies that design their SC with capabilities to react quickly to any disruptions in its process have the opportunity to become more stabilized and acquire an improved position in the market. Researchers have been exploring ways to acquire supply chain resilience, such as encouraging and improving collaboration between SC partners or by increasing the organization’s visibility through monitoring SC events and patterns. Studies have shown that IT has a role in improving SCRes, such as information-sharing systems to promote collaboration and visibility tactics. However, recent research trends are exploring new and emerging technologies like the Internet of Things (IoT). Despite the growing interest in IoT, minimal research has been carried out for its application in SCRes. Research in this direction is necessary to explore opportunities provided by IoT to redesign SC which in turn reinforces flexibility of supply chains and aspects of analysis of the product quality and how it could enable companies to improve their SCRes. This study is directly focused to identify and highlight this gap.
  • Managing operations for circular economy in the mining sector: An analysis of barriers intensity

    Rajesh, Singh; Kumar, Anil; Garza-Reyes, Jose Arturo; M.de Sác, Marcelo; University of Derby (Elsevier, 2020-08-17)
    The rapid development of industrialization has created significant opportunities for economic growth and development, but its operational activities have impulsively degraded the environment. Circular Economy (CE) practices may help industries, and particularly extracting industries such as mining, to optimize the use of its resources and minimize waste. This would further help to overcome the threats which the traditional linear model poses to the economic growth and development of any healthy economy. This paper aims to identify the barriers to executing the CE model within the context of the Indian mining industry. The five major categories of barriers (i.e. financial, market, government policies and regulations, organizational and operational) and their respective sub-barriers which are responsible for hindering the implementation of CE in the mining sector are identified through an extensive literature review and experts’ opinion. To determine the priority of the barriers and their intensity index, a hybrid technique comprising of the analytical hierarchy process (AHP) and graph-theoretic approach (GTA), is employed. The AHP analysis indicated that ‘government policies and regulations’ was the main barrier to the implementation of CE in the Indian mining sector (43.8%), followed by ‘market barriers’ with a weighting score of 24.6%. However, based on GTMA, the highest intensity was observed for ‘operational’, category of barriers followed by the ‘organizational’ category of barriers. The outcomes of the study would help managers from the mining industry not only to overcome the identified barriers for managing operations for CE but also to optimize and effectively meliorate the consumption and extraction of resources.
  • Analysis and prioritization of lean six sigma enablers with environmental facets using best worst method: A case of Indian MSMEs

    Singh, M; Rathi, R; Garza-Reyes, Jose Arturo; University of Derby (Elsevier, 2020-08-12)
    Micro-Small and Medium Enterprises (MSMEs) play a prominent role in economic growth because of their significant contribution in terms of manufacturing, sales, and development in any country. Improvements in product quality, waste reduction, environmental measures, green product development, and cost optimization have enforced MSMEs to adopt sustainable development approaches. Lean Six Sigma (LSS) is one of the robust methods that reduce waste, variation, emission, and energy in any system. It is indispensable to relook the enablers of environmental LSS to assess sustainability through the successful implementation of this eco-friendly approach. In this context, the present study aims to investigate and prioritize the enablers which facilitate the effective implementation of environmental LSS in MSMEs. Extensive literature and expert’s opinion are used to investigate the environmental LSS enablers and grouped them as per their appropriate traits using Exploratory Factor Analysis. The final screening of grouped enablers is done through Importance-index analysis and corrected item minus total correlation method. For prioritization of finalized enablers, a robust decision-making technique, Best Worst Method, is employed with a practical case of Indian MSMEs. The research outcomes reveal that strategic based enablers are leading in nature, followed by environmental-based enablers. Moreover, current results are validated through the Analytical Hierarchy Process and Analytical Network Process. The present study outcomes are also in good agreement with case organization officials. This study expedites the managers of case organization with prominent enablers, which will help in planning and successful execution of environmental LSS.
  • 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.
  • The adoption of environmentally sustainable supply chain management: Measuring the relative effectiveness of hard dimensions

    Choudhary, Sangita; Kumar, Anil; Garza-Reyes, Jose Arturo; Nadeem, Simon Peter; University of Derby; BML Munjal University, Gurgaon, India; Government Polytechnic Jhajjar, Jhajjar, India (Wiley, 2020-07-28)
    Adopting green practices in supply chains contribute towards protecting the environment. For the successful adoption of Environmentally Sustainable Supply Chain Management (ESSCM), the dimensions related to technology, strategy and policy etc., termed as hard dimensions in the scholarly literature, play a significant role. However, the independent influence of these dimensions on ESSCM has not been previously studied. Therefore, the present study aims to fill this gap and evaluate the effectiveness of these dimensions. To do this, the most significant dimensions are identified through a thorough literature review and experts’ inputs. To determine their priority and cause-effect relationship, a combined approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) is used. The analysis indicates that ‘Total Quality Management’, and ‘Technologies for Cleaner Production’, are the most important causal dimensions and provides several insights to the decision-makers to formulate robust business strategies to the adoption of ESSCM.

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