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

  • 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.
  • 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.
  • An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry

    Kaviani, Mohamad Amin; Madjid, Tavana; Kumar, Anil; Jerzy, Michnik; Raziyeh, Niknam; Elaine Aparecida, Regiani de Campos; University of Cyprus; La Salle University, Philadelphia, USA; University of Derby; University of Economics, Katowice, Poland; et al. (Elsevier, 2020-07-07)
    Reverse logistics (RL) strategy can have a positive impact on productivity, and the diminishing resources, along with the strict environmental regulations, have strengthened the need for this strategy. The purpose of this study is to develop an integrated framework for identifying: (1) the critical barriers to the successful implementation of RL in the automotive industry; (2) the importance and implementation priorities of these barriers; and (3) the causal relations among them. The proposed framework is composed of the Delphi method to identify the most relevant barriers, the best-worst method (BWM) to determine their importance, and the weighted influence non-linear gauge system (WINGS) to analyze their causal relationships. The proposed framework is applied to a case study in the automotive industry. The results indicate the economic barriers are the most important, and the knowledge barriers are the least important barriers to the successful implementation of RL in the automotive industry.
  • Organisational learning and industry 4.0: Findings from a systematic literature review and research agenda

    Belinski, Ricardo; Peixe, Adriana M.M.; Frederico, Guilherme F.; Garza-Reyes, Jose Arturo; Federal University of Paraná, Curitiba, Brazil; University of Derby (Emerald, 2020-07-06)
    Industry 4.0 has been one of the most topic of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0’s initiatives as well as for the deployment of new research works. Considering “Organisational Learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between Organisational Learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well. This study is based on a systematic literature review (SLR) that covers Industry 4.0 and Organisational Learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using as data basis Web of Science and Google Scholar. Also, Nvivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research. Nine dimensions were identified between Organisational Learning and Industry 4.0. These include Management, Industry 4.0, General Industry, Technology, Sustainability, Application, Interaction between Industry and the Academia, Education and Training, and Competency and Skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage Learning in Industry 4.0’s programs. They are: Learning Development, Industry 4.0 Structure and Technology Adoption. Even though there are relatively few publications that have studied the relationship between Organisational Learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches. This article identifies the thematic dimensions relative to Industry 4.0 and Organisational Learning. The understanding of this relation has a relevant contribution to professionals acting in the field of Organisational Learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organisations. This article is unique for filling a gap in the academic literature in terms of understanding the relation between Organisational Learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.
  • Practical implications and future research agenda of lean manufacturing: a systematic literature review

    Antony, J; Psomas, E; Garza-Reyes, J.A.; Hines, P; Heriot-Watt University, Edinburgh; University of Patras, Greece; University of Derby; Waterford Institute of Technology, Ireland (Taylor & Francis, 2020-06-29)
    Academic literature on Lean Manufacturing (LM) is widely available. However, due to its fragmentation, the contribution of LM from practical and academic perspectives is controversial. This paper establishes the practical implications of LM studies carried out worldwide and identifies novel research streams. A Systematic Literature Review (SLR) of peer-reviewed journal articles was conducted. A total of 401 articles published in 61 journals during 2010-2019 were collected from four major management science publishers. An “affinity diagram” was applied to organize the data into natural and logical themes. Conceptual frameworks concerning LM practical implications and future research agenda were formulated. Meaningful themes of LM practical implications and future research suggestions were revealed and classified into two categories. In category one pertaining to the internal nature of LM, themes related to the pre-implementation, implementation and post-implementation phases of LM were identified. In category two pertaining to the external nature of LM, themes related to the country in which the companies operate, the diverse managerial systems available, and the methodological research approach were identified. The main themes supported in the literature by most references were determined. Finally, respective statements concerning the practical implications of LM and the future research agenda are analytically presented.
  • 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.
  • An MCDA cause-effect factors model for the implementation of Greenstone digital library soft-ware

    Rathee, S; Kumar, A; Kaushik, S; Kazimieras Zavadskas, E; Banaitis, A; Garza-Reyes, J.A.; Ganga Institute of Management and Technology, Haryana, India; University of Derby; PDM University, Bahadurgarh, India; Vilnius Gediminas Technical University, Vilnius, Lithuania (Emerald, 2020-06-16)
    The selection of an effective library software plays an important role not only for students, academic staff, and the library staff but it also helps an institution by having the library management system more centralized. Therefore, the aim of this study is to develop a Multiple- Criteria Decision Analysis (MCDA) cause and effect factor model for the implementation of the Greenstone digital library (GSDL) software. A thorough review of the literature is conducted to develop an initial list of the appropriate evaluation factors that play a significant role in the implementation of GSDL software. The data was collected from a domain of experts in the library sciences field. A combined approach of Delphi-DEMATEL methods is employed for the definition of these factors and to construct an MCDA cause-effect model which represent their relationships. The DEMATEL analysis resulted in the division of all factors into two groups, i.e., causes and effects. The results show that content management, having a user-friendly interface and usability, information search and retrieval, authentication and authorization fall into the cause group. These factors directly affect the remaining factors. Content acquisition, classification, access, control and privacy management, plus metadata submission and support fall into the effect group. The research findings can help library professionals to make effective decisions to facilitate the successful implementation of GSDL software in a library and the enhancement of library technology. The results of this study can be useful for library professionals and decision-makers to select the most appropriate software for the implementation of library technology. The study analysis shows that for GSDL, having a user-friendly interface and usability, information search and retrieval plus authentication, and authorization factors have seven positive relationships with other factors. Secondly, content management and classification have six relationships with other factors. Thirdly, access control plus privacy and management have two relationships. Content acquisition has only one relationship with other factors. It is recommended that the user-friendly interface and usability, information search and retrieval, as well as authentication and authorization should be the initial areas of focus if GSDL is to be implemented successfully in digital libraries. The proposed MCDA cause-effect model can be useful for library professionals or decision-makers in the context of selecting software to be implemented in a library and to minimize implementation costs.
  • A decision-support framework for lean, agile and green practices in product life cycle stages

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

    Lameijer, B; Antony, J; Chakraborty, A; Does, R.J.M.M.; Garza-Reyes, J.A.; University of Amsterdam; Heriot Watt University, Edinburgh; Indian Institute of Management; University of Derby (Taylor & Francis, 2020-04-30)
    The paper aims to elicit the understanding of process improvement (PI) project success by researching the effects of organizational- motivation and coordination in continuous improvement (CI) implementations in the financial services sector. The data analyzed using structural equation modeling (SEM) comes from a sample of 198 survey respondents in financial service organizations that have implemented CI. This research shows that a strong organizational motivation is driving the embeddedness of PI methodology in, and alignment with the CI implementation of, the organization and thus affecting PI project success. In addition, central coordination is found to affect the alignment of the organization to the CI implementation activities and objectives and affects PI project success. These findings show how the organizational level constructs of organizational- motivation and coordination affect PI project success following the mediating constructs of alignment, embeddedness, and routinization specifically in the context of financial services. Thus, the work provides a better understanding of how organizational level drivers affect the organizational context of PI projects and consequently affect PI project success. There is little empirical research on determinants of PI project success. Our work explains how factors in the organizational context in which PI projects take place are affecting project outcome.
  • A new perspective of e-trust in the era of social media: Insights from customer satisfaction data

    Ramanathan, U; Williams, N.L.; Zhang, M; Sa-nguanjin, P; Garza-Reyes, J.A.; Borges, L.A.; Nottingham Trent University; University of Portsmouth; Global University Systems, 30 Holborn, London; University of Derby; et al. (IEEE, 2020-05-20)
    In this era of social media, products and services are sold globally using a few simple clicks online. In such online purchases, trust and familiarity are considered two important driving forces of consumer decision making. While online sales advocate high levels of flexibility and choices for consumers, they also hold the online service provider responsible for ensuring the security of the online user’s data. Using a Structural Equation Model (SEM) with data collected from the online service industry, we test the direct effects of ‘social media-induced purchase intention’ on customer satisfaction. We also test the mediating role of e-commerce/online sales (e-advertisement, e-safety and e-information) on customer satisfaction. In addition to social media advertising and information sharing, we find that a new factor – ‘e-safety’ – mediates the relationship between customer purchase intention and customer satisfaction. Our analysis indicates that online e-trust can be established between the customer and the service company when online purchases are made. At the same time, the quality of online information and e-safety of online payments make the service company trustworthy for future purchases. We relate data analysis directly to managerial decision making to avoid any delay in online customer services in the era of social media.
  • Performance measurement for supply chains in the Industry 4.0 era: A balanced scorecard approach

    Frederico, G.F.; Garza-Reyes, J.A.; Kumar, A; Kumar, V; University of Paraná, Curitiba, Brazil; University of Derby; University of the West of England (Emerald, 2020-05-06)
    The purpose of this paper is to present a theoretical approach based on the Balanced Scorecard (BSC) with regards to Performance Measurement (PM) in supply chains for the Industry 4.0 era. This paper combines the literature on PM and specifically the BSC related to the dimensions of supply chain in the context of Industry 4.0. Dimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a Performance Measurement System (PMS) for supply chains in this new context. From theoretical perspective, this study contributes to the limited literature on PM for supply chains in industry 4.0 era. The study proposes a supply chain 4.0 scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper. Practitioners can use this study as a guide to develop more effective Performance Measurement Systems (PMSs) in their organizations. This research is unique as it addresses a significant knowledge gap related to PM in Supply Chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.
  • Benchmarking of cleaner production in sand mould casting companies

    Guilherme da Silva, H; Espíndola Ferreira, J.C; Vikas, K; Garza-Reyes, J.A.; Universidade Federal de Santa Catarina, Florianópolis, Brazil; University of the West of England; University of Derby (Emerald, 2020-04-29)
    The purpose of this research was to develop new sustainability indicators consistent with the sand mould casting industry, through Benchmarking of Cleaner Production (CP), in order to identify the levels of practice and performance of companies of the casting sector. In addition, a lean manufacturing checklist was specified in order to verify the presence of lean manufacturing techniques employed to eliminate waste towards CP. No previous work was found in the literature that attempts to assess practices and performance of companies performing sand mould casting (a significantly polluting manufacturing process) in the context of cleaner production and lean manufacturing. For the application of this benchmarking, nine companies from the sand mould casting sector were studied, where the profile of each company was analysed through 8 variables and 47 indicators. Data were obtained through face-to-face visits and questionnaire application in the companies, and the data were analysed both quantitatively and qualitatively. The results obtained were the diagnosis of companies' practices and performance resulting from their position in the benchmarking charts, as well as the identification of the areas in which companies should implement improvements aiming at achieving CP. This research was developed specifically for sand mould casting companies, and each process has its own characteristics. 14 companies that perform sand mould casting were invited to participate in this survey, but unfortunately five companies declined to participate. It is important to diagnose casting companies regarding cleaner production practices, performance and deployment potential. Thus, important negative issues in the company can be identified and, with this information, they can develop actions focused on cases that need more attention. In addition, this work contributes to evaluate the relationship and efficiency of improvement actions developed by companies in the context of both lean manufacturing and cleaner production, aiming to reduce or eliminate the environmental impact. The improvement of practices and performance of a company regarding cleaner production is considered to be beneficial to supply chain management in the context of sustainability, as the other participating companies are likely to seek ways to reduce environmental impact, and the diagnostics provided by this work may also be used by those companies.
  • Decision making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)

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

    Gonzalez Aleu, Flores, F.F., Perez, J., Gonzalez, R., Garza-Reyes, J.A.; University of Derby (IEOM Society, 2020-04)
    A systematic literature review (SLR) is a protocol used to identify publications, select relevant publications, collect data, conduct scientometric analyses, and report research results (SLR outcomes or findings). Despite the increasing use of SLR to assess the maturity or evolution of a research field, as Engineering Management, there are a limit number of publications focused to test SLR biases. Therefore, the purposes of this investigation are to test search field bias (precise SLR vs. sensitive SLR) and to identify statistically significant differences between SLR outcomes. In order to achieve these goals, a three steps methodology was used in three platforms/databases. First, a precise SLR in ProQuest (search terms only in abstract) was conducted to identify publications describing a single Kaizen event in a hospital. From these publications, five metrics were assessed: new authors per year, number of authors per paper, number of publications per year, Kaizen event duration (days), and number of tools used during the Kaizen event per paper. Second, a sensitive SLR in ProQuest (search term in full text) was conducted using the same search terms, exclusion criteria, and metrics from the first step. Third, t-test hypotheses were conducted in SPSS version 20 to identify statistically significant difference for each metric between precise SLR vs. sensitive SLR. The same three steps were used in two more platforms/databases: EBSCOhost and Scopus. Initial results from this ongoing investigation show statistically significant differences between precise SLR and sensitive SLR for some of the five metrics assessed, such as the number of publications per year. Final results will be available in November 2018.

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