Now showing items 1-20 of 184

    • A readiness self-assessment model for implementing Green Lean Initiatives

      Cherrafi, Anass; Garza-Reyes, Jose Arturo; Belhadi, Amine; Kamble, S.S; Elbaz, Jamal; Moulay Ismail University, Meknes, Morocco; University of Derby; Cadi Ayyad University, Marrakech, Morocco; EDHEC Business School, Roubaix, 59057, France; ENCG –Agadir, Ibn Zohr University, Agadir, Morocco (Elsevier, 2021-05-07)
      This paper proposes a self-assessment model to evaluate the level of readiness of organizations to implement Green Lean initiatives. A systematic literature review was conducted to synthesize the key elements of the implementation of Green Lean, barriers and its critical success factors. The proposed instrument was validated through semi-structured interviews and workshops with experts from academia and industry and applied in four manufacturing companies in a developing country. The results revealed that the proposed self-assessment model is an appropriate instrument to determine the readiness of organizations for effectively implementing Green Lean. The proposed self-assessment model was able to display the potential challenges a company will face if it aims to integrate Green and Lean and implement it. The results of this paper will help the practitioners to conduct a diagnostic of requirements for Green Lean adoption, thereby increasing the probability of success of such an initiative before a company spends its resources on the project. Consequently, this paper will contribute to encouraging the effective implementation of Green Lean initiatives and serving as implications for further exploration and contribution to this area.
    • A systematic literature review regarding the influence of lean manufacturing on firms’ financial performance

      Dieste, M; Panizzolo, R; Garza-Reyes, Jose Arturo; University of Padova, Vicenza, Italy; Free University of Bozen-Bolzano, Bolzano, Italy; University of Derby (Emerald, 2021-04-07)
      The lean philosophy has demonstrated its effectiveness to improve firms’ operational performance. However, the impact of lean practices on financial performance is still unclear due to the poor understanding of the link between operational and financial measures and the conflictive results obtained by previous research. The purpose of this paper is to conduct a systematic literature review to understand whether lean companies have improved their financial performance. Moreover, this article aims to uncover research gaps in the literature and examine which time spans of research have been considered to analyse both the degree of lean implementation and the measurement of financial outcomes. A systematic literature review has been conducted to identify peer-reviewed articles that analyse the effect of the lean production paradigm on the financial performance measures of manufacturing companies. Then, the identified articles were processed using a combination of descriptive and content analyses methods to draw new conclusions, uncover gaps and find novel paths for research. Various authors indicate that lean initiatives lead to an enhancement of financial performance measures. JIT and TQM lean practice bundles are suggested as the best enablers of financial performance in terms of sales and profit. In contrast, according to some scholars, lean does not necessarily improve companies’ financial results if it is not properly implemented. Despite several studies have focused on analysing the effects of lean on performance, only a small part of the literature has addressed the study of the effects of lean practices on financial performance metrics. The originality of this study lies in the investigation of the connections between lean practices and financial performance measures found in the literature. The outcome is the identification of various possible positive impacts of some lean practices on financial metrics.
    • Improving the sustainability of food supply chains through circular economy practices – a qualitative mapping approach

      Batista, Luciano; Dora, Manoj; Garza-Reyes, Jose Arturo; Kumar, Vikas; Aston University, Birmingham; Brunel University, Uxbridge; University of Derby; University of the West of England (Emerald, 2021-04-30)
      The purpose of this paper is to present a methodological approach to support qualitative analysis of waste flows in food supply chains. The methodological framework introduced allows the identification of circular food waste flows that can maximise the sustainability of food supply chains. Following a qualitative approach, circular economy perspectives are combined with core industrial ecology concepts in the specification of a standardised analytical method to map food waste flows and industrial synergies across a supply chain. The mapped waste flows and industrial linkages depict two time-related scenarios: 1. Current scenarios showing the status quo of existing food waste flows, and 2. Future scenarios pointing out circular flows along the supply chain. The future scenarios inform potential alternatives to take waste flows up the food waste hierarchy. The qualitative approach do not allow generalisations of findings out of the scope of the study. The framework is intended for providing focused analysis, case by case. Future research involving mixedmethods where quantitative approaches complement the qualitative perspectives of the framework would expand the analytical perspective. The framework provides a relatively low cost and pragmatic method to identify alternatives to minimise landfill disposals and improve the sustainability of food supply chains. Its phased methodology and standardised outcomes serve as a referential basis to inform not only comparative analysis, but also policy making and strategic decisions aimed at transforming linear food supply chains into circular economy ecosystems.
    • Machine Learning Applications for Sustainable Manufacturing: A Bibliometric-based Review for Future Research

      Jamwal, Anbesh; Agrawal, R; Sharma, M; Kumar, A; Kumar, V; Garza-Reyes, Jose Arturo; Malaviya National Institute of Technology, Jaipur, India; London Metropolitan University; University of the West of England; University of Derby (Emerald, 2021-05-06)
      The role of data analytics is significantly important in manufacturing industries as it holds the key to address sustainability challenges and handle the large amount of data generated from different types of manufacturing operations. The present study, therefore, aims to conduct a systematic and bibliometric-based review in the applications of machine learning (ML) techniques for sustainable manufacturing (SM). In the present study, we use a bibliometric review approach that is focused on the statistical analysis of published scientific documents with an unbiased objective of the current status and future research potential of ML applications in sustainable manufacturing. The present study highlights how manufacturing industries can benefit from ML techniques when applied to address SM issues. Based on the findings, a ML-SM framework is proposed. The framework will be helpful to researchers, policymakers and practitioners to provide guidelines on the successful management of SM practices. A comprehensive and bibliometric review of opportunities for ML techniques in SM with a framework is still limited in the available literature. This study addresses the bibliometric analysis of ML applications in SM, which further adds to the originality
    • Lean Manufacturing and Internet of Things – A Synergetic or Antagonist Relationship?

      Anosike, Anthony; Alafropatis, Konstantinos; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Rocha-Lona, Luis; University of Derby; University of Warwick; London Metropolitan University; Ch. Ranbir Singh State Institute of Engineering & Technology, Jhajjar-124103, Haryana, India; et al. (Elsevier, 2021-04-13)
      This paper explores the relationship between five LM methods (JIT, TPM, Autonomation, VSM and Kaizen) and three IoT technologies (RFID, WSN and Middleware) and the implications that arise from their combination. Four hypotheses and four complimentary research questions were formulated and tested. 136 responses were obtained through a questionnaire survey and analysed using descriptive statistics, 2-Sample proportion, Kruskal-Wallis, ANOVA and Pairwise comparison tests. The findings indicate that IoT can significantly improve the operational performance of manufacturing organisations. The findings advocate that all LM methods, apart from Kaizen, benefit from improved effectiveness by combining them with IoT. The results suggest that this can be attributed to the general perception about IoT, which despite the support and benefits it provides to people, is seen to be reducing human involvement whereas Kaizen is seen to be more people-focused. Improvements in information flow, decision-making and productivity were also found to be the most important motivations and benefits of combining LM methods with IoT. The findings of this research can be used by LM organisations that wish to embark into the new digitalised manufacturing era and businesses seeking to improve their performance through the combination of traditional efficiency-based methods and I4.0 technologies.
    • Nexus of circular economy and sustainable performance in the era of digitalization

      Agrawal, Rohit; Wankhede, Vishal Ashok; Kumar, Anil; Upadhyay, Arvind; Garza-Reyes, Jose Arturo; National Institute of Technology Tiruchirappalli, Tiruchirappalli, India; Pandit Deendayal Energy University, Gandhinagar, India; London Metropolitan University; University of Brighton; University of Derby (Emerald, 2021-04-01)
      This study aims to conduct a comprehensive review and network-based analysis by exploring future research directions in the nexus of circular economy (CE) and sustainable business performance (SBP) in the context of digitalization. A systematic literature review methodology was adopted to present the review in the field of CE and SBP in the era of digitalization. WOS and SCOPUS databases were considered in the study to identify and select the articles. The bibliometric study was carried out to analyze the significant contributions made by authors, various journal sources, countries and different universities in the field of CE and SBP in the era of digitalization. Further, network analysis is carried out to analyze the collaboration among authors from different countries. The study revealed that digitalization could be a great help in developing sustainable circular products. Moreover, the customers' involvement is necessary for creating innovative sustainable circular products using digitalization. A move toward the product-service system was suggested to accelerate the transformation toward CE and digitalization. The paper discusses digitalization and CE practices' adoption to enhance the SP of the firms. This work's unique contribution is the systematic literature analysis and bibliometric study to explore future research directions in the nexus of CE and SP in the context of digitalization. The present study has been one of the first efforts to examine the literature of CE and SBP integration from a digitalization perspective along with bibliometric analysis.
    • Sustainability concerns on consumers’ attitude towards short food supply chains: an empirical investigation

      Wang, Meng; Kumar, Vikas; Ruan, Ximing; Saad, Mohammed; Garza-Reyes, Jose Arturo; Kumar, Anil; University of the West of England; University of Derby; London Metropolitan University (Springer, 2021-03-17)
      While industrialized agro-food supply systems have gained tremendous success in recent decades, it has been increasingly criticized for its adverse environmental and social impact. Amongst this criticism, Short Food Supply Chains (SFSCs) have emerged as a promising sustainable alternative to the industrialized agri-food supply systems. In recent years there have been some attempts to explore the relationship between SFSCs and sustainability, but these are mostly theoretical discussions and lacks empirical validation. This study, therefore, attempts to provide empirical validation of the SFSCs and sustainability linkages. Additionally, from the theoretical perspective, our work extends the traditional triple bottom line constructs and explores two extra dimensions of sustainability in the food supply chain system, namely, governance and culture, thus exploring five dimensions of sustainability. Furthermore, while SFSCs have proven to improve farmers’ livelihoods and reconnect producers with consumers, little or no attention has been given to understand the consumers' attitudes towards the SFSC practices. Therefore, this study aims to explore the customers’ attitudes towards participating in SFSCs through the concept of a moral economy and personal relationship. Based on the 532 valid responses from Chinese consumers, our study shows that all five pillars of sustainability, moral economy and Chinese relationship have a positive influence on consumers’ participation in SFSCs. With its intuitive benefits, the economic pillar emerged as the most approved factor by the participants. Interestingly our findings show that the social aspect is less prominent than others, which is contrary to existing studies conducted in developed countries.
    • Assessing the key enablers for industry 4.0 adoption using MICMAC analysis: a case study

      Krishnan, S., Gupta, S., Kaliyan, M., Kumar, V., Garza-Reyes, J.A.; Amity University, Noida, India; Thiagarajar School of Management, Madurai, India; University of the West of England; University of Derby (Emerald, 2021-03-23)
      The aim of this research is to assess the key enablers of Industry 4.0 (I4.0) in the context of the Indian automobile industry. It is done to apprehend their comparative effect on executing Industry 4.0 concepts and technology in manufacturing industries, in a developing country context. The progression to Industry 4.0 grants the opportunity for manufacturers to harness the benefits of this industry generation. Literature related to Industry 4.0 has been reviewed for the identification of key enablers of Industry 4.0. The enablers were further verified by academic professionals. Additionally, key executive insights had been revealed by using interpretive structural modelling (ISM) model for the vital enablers unique to the Indian scenario. We have also applied MICMAC analysis, to group the enablers of I4.0. The analysis of our data from respondents using ISM provided us with 7 levels of enabler framework. Our study adds to the existing literature on industry 4.0 enablers and findings highlight the specificities of the territories in India context. Our results show that top management is the major enabler to I4.0 implementation. Infact, it occupies the 7th layer of the ISM framework. Subsequently, government policies enable substantial support to develop smart factories in India. The findings of our work provides implementers of I4.0 in the automobile industry in the form of a robust framework. This framework can be followed by the automobile sector in enhancing their competency in the competitive market and ultimately provide a positive outcome for the Indian economic development led by these businesses. Furthermore, our work will guide decision-makers in enabling strategic integration of Industry 4.0, opening doors for the development of new business opportunities as well. The study proposes a framework for Indian automobile industries. The automobile sector was chosen for this study as it covers a large percentage of the market share of the manufacturing industry in India. Existing literature does not address the broader picture of I4.0 and most papers do not provide validation of the data collected. Our study thus addresses this research gap.
    • Assessing people-driven factors for circular economy practices in SME supply chains: business strategies and environmental perspectives

      Betuel Sawe, F; Kumar, A; Garza-Reyes, Jose Arturo; Agrawal, R; University of Derby; London Metropolitan University; National Institute of Technology, Tiruchirappalli, India (Wiley, 2021-03-25)
      Globalisation and technological advancements have increased the pressure on small businesses to increase their productivity and to gain competitive advantages. That pressure has been placed on the resources available, resulting in increased environmental degradation as a result of the traditional linear model of make-use-dispose. Circular economy (CE) practices offer the opportunity for sustainable production based on the reuse-remanufacture and recycling of resources for small and medium-sized enterprises (SMEs) to increase their sustainability, resulting in enhanced performance levels in terms of business strategies and environmental perspectives. But in academic literature, the role of people-driven factors (PDFs) in the adoption of CE practices in the supply chains (SCs) of SMEs is limited. Therefore, to fill this literature gap, this research looks at analysing PDFs for the implementation of CE in the SMEs in developing countries in two phases. PDFs are identified from an extensive literature review; a DEMATEL technique is then employed to understand the significant influence of each factor in the adoption of CE practices in SCs by dividing them into cause-effect groups. The findings show that PDFs such as training and knowledge sharing, employee participation, leadership and management plus strategic alignment are considered to be the most important significant factors in the adoption. The findings of this study will help industrial managers to understand the significance of the role of PDFs for enhancing business strategies; these findings can reduce the negative environmental impact in the adoption of CE practices in the SCs of SMEs.
    • Analysis of critical success factors for implementing industry 4.0 integrated circular supply chain – moving towards sustainable operations

      Garza-Reyes, Jose Arturo; Kumar, A; Choudhary, S; Kumar, V; Khan, S. A; Mishra, N; University of Derby; University of the West of England, Bristol (Taylor and Francis, 2021)
      Many threats, such as scarcity of sources and climate change, are forcing the business community to examine their commitment towards the environment and society. Because of this pressure, companies have started to implement long term sustainable practices into their operations. An example of this is the adoption of circular supply chain (CSC), Industry 4.0. How the integration of Industry 4.0 and CSC can be implemented to achieve sustainable supply chain operations is an important question for research. Very little discussion is available in current literature in this regard. This study objective is to analyse the critical success factors (CSFs) for this integration. A three-phase study framework has been utilized to achieve the objective. In the first phase, CSFs are identified through literature review and experts’ inputs; in the second phase, an empirical research is conducted for finalization of CSFs and in the last phase, influencing and influenced factors are identified by using Hesitant based Fuzzy DEMATEL. The analysis shows that in the adoption of CSC integrated with Industry 4.0 to achieve sustainability in supply chain operations, ‘knowledge of CSC and Industry 4.0’ is the most important factor followed by ‘top management commitment’. With the help of this research study’s findings, both theoretical and practical contributions are provided which further help the operation. This will assist supply chain managers in achieving sustainability in supply chain operations through an effective adoption of the integration of CSC and Industry 4.0.
    • 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.
    • Lean Six Sigma project selection in a manufacturing environment using hybrid methodology based on intuitionistic fuzzy MADM approach

      Singh, Mahipal; Rathi, Rajeev; Antony, Jiju; Garza-Reyes, Jose Arturo; Lovely Professional University, Phagwara, India; Heriot-Watt University, Edinburgh; University of Derby (IEEE, 2021-02-08)
      Project selection has a critical role in the successful execution of the lean six sigma (LSS) program in any industry. The poor selection of LSS projects leads to limited results and diminishes the credibility of LSS initiatives. For this reason, in this article, we propose a method for the assessment and effective selection of LSS projects. Intuitionistic fuzzy sets based on the weighted average were adopted for aggregating individual suggestions of decision makers. The weights of selection criteria were computed using entropy measures and the available projects are prioritized using the multi-attribute decision making approach, i.e., modified TOPSIS and VIKOR. The proposed methodology is validated through a case example of the LSS project selection in a manufacturing organization. The results of the case study reveal that out of eight LSS projects, the assembly section (A8) is the best LSS project. A8 is the ideal LSS project for swift gains and manufacturing sustainability. The robustness and reliability of the obtained results are checked through a sensitivity analysis. The proposed methodology will help manufacturing organizations in the selection of the best opportunities among complex situations, results in sustainable development. The engineering managers and LSS consultants can also adopt the proposed methodology for LSS project selections.
    • 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.