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    Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

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    [EN] Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assessment is investigated, and a comprehensive list of specific risks related to the automotive industry is compiled to extend the set of most commonly considered risks. Second, an alternative way of calculating the Risk Priority Number (RPN) is proposed within the FMECA framework by means of an integrated Multi-Criteria Decision-Making (MCDM) approach. We give a new calculation procedure by making use of the Analytic Hierarchy Process (AHP) to derive factors weights, and then the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to evaluate the new factor of "dependence" among the risks. The developed joint analysis constitutes a risk analysis support tool for criticality in systems engineering. The approach also deals with uncertainty and vagueness associated with input data through the use of fuzzy numbers. The results obtained from a relevant case study in the automotive industry showcase the effectiveness of this approach, which brings important value to those companies: When planning interventions of prevention/mitigation, primary importance should be given to (1) supply chain disruptions due to natural disasters; (2) manufacturing facilities, human resources, policies and breakdown processes; and (3) inefficient transport.Mzougui, I.; Carpitella, S.; Certa, A.; El Felsoufi, Z.; Izquierdo Sebastián, J. (2020). Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA. Processes. 8(5):1-22. https://doi.org/10.3390/pr8050579S12285Tian, Q., & Guo, W. (2019). Reconfiguration of manufacturing supply chains considering outsourcing decisions and supply chain risks. Journal of Manufacturing Systems, 52, 217-226. doi:10.1016/j.jmsy.2019.04.005Wu, Y., Jia, W., Li, L., Song, Z., Xu, C., & Liu, F. (2019). 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    The Impact of 3PL’s Green Initiatives on the Purchasing of Transport and Logistics Services: an Exploratory Study

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    There is a lack of research investigating the interaction and reciprocal influences between the buyer perspective and the supplier of transport and logistics services. Studies on the buyer perspective analyse the selection criteria to buy 3PL services, while research focused on green 3PL services examine initiatives undertaken by these companies to provide more environmentally sustainable services. The objective of this paper is to fill this void through an explorative case study analysis on the environmental attitude of 3PL companies in order to derive relevant implications for buyer’s behaviour. The results provide useful guidelines to buyers for understanding awareness, initiatives as well as drivers and barriers affecting 3PLs’ sustainability initiatives

    Research developments in Sustainable Supply Chain Management considering Optimization and Industry 4.0 Techniques: A Systematic Review

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    Purpose – The literature that is presently available on sustainable supply chain management (SSCM) combining Optimization and Industry 4.0 techniques falls short in its depictions of the recent developments, budding pertinent areas, and the importance of SSCM in the growth of industrial economies around the world. This article's main objective is to analyze current trends, highlight the latest initiatives, and perform a meta-analysis of the literature that is currently accessible in the SSCM area with a special focus on optimization and Industry 4.0 techniques. The paper also proposes a conceptual framework that will assist in illuminating how the ideas of optimization and Industry 4.0 may contribute to realizing sustainability in supply chains. Design/methodology/approach – The proposed study systematically reviews 85 research publications published between 2010 and 2022 in referenced peer-reviewed journals in diverse fields, including engineering, business and management, services, and healthcare. Numerous categories are considered throughout the examination of the literature, including year-wise publications, prominent journals, type of research design, concerned industry, and research technique used. Findings – The study demonstrates a deeper comprehension of the literature in the field and its evolution throughout numerous industry sectors, which is helpful for both practitioners and academics. The results from the content analysis highlight various future research opportunities in the domain. Originality/value – This is one of the first research articles that have attempted to establish, analyse, and highlight the current trends and initiatives in the SSCM domain from an optimization and Industry 4.0 techniques viewpoint. The cluster-based future research propositions also enhance the novelty of the study

    Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA

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    Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCR) is crucial, and is currently a very active field of research. Failure Mode Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assessment is investigated, and a comprehensive list of specific risks related to the automotive industry is compiled to extend the set of most commonly considered risks. Second, an alternative way of calculating the risk priority number (RPN) is proposed within the FMECA framework by means of an integrated multi-criteria decision-making (MCDM) approach. We give a new calculation procedure by making use of the Analytic Hierarchy Process (AHP) to derive factors weights, and then the fuzzy DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) to evaluate the new factor of “dependence” among risks. The developed joint analysis constitutes a risk analysis support tool for criticality in systems engineering. The approach also deals with uncertainty and vagueness associated to input data through the use of fuzzy numbers. The results obtained from a relevant case study in the automotive industry showcase the effectiveness of this approach, which brings important value to those companies: when planning interventions of prevention/mitigation, primary importance should be given to 1) supply chain disruptions due to natural disasters, 2) manufacturing facilities, human resources, policies and breakdown processes, and 3) inefficient transport

    State of the Art of Purchasing 2023

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    A life cycle thinking approach applied to novel micromobility vehicle

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    While the production of cars has high environmental costs, producing and maintaining micromobility vehicles might consume fewer resources. Likewise, replacing the car with active mobility transportation modes reduces noise and air pollution. The Life Cycle Assessment (LCA) methodology contributes to study such environmentally sustainable solutions. We present a "cradle-to-grave" analysis by tracking the activity from the extraction of raw materials until the product's life ends. The goal is to carry out an LCA of a novel micromobility vehicle under a life cycle thinking perspective. The LCA tool - Good to Go? Assessing the Environmental Performance of New Mobility, developed by the International Transport Forum - was used to model the baseline and alternative scenarios. The vehicle’s materials, primary energy sources for battery charging, use of the vehicle as a shared mobility mode, among other factors, were changed to assess the energy use and greenhouse gases (GHG) emissions during the entire life cycle chain. The LCA results at the baseline scenario for the micromobility device, the Ghisallo vehicle, are similar to the values of other micromobility vehicles. Energy consumption (Mega Joule [MJ]) and GHG emissions (grams of equivalent CO2) per vehicle-kilometer are 0.36 [MJ/v-km] and 29 [g CO2 eq/v-km], respectively. For this personal mobility vehicle, it is a conclusion that most GHG emissions are due to production (42% of the total). Air transport from production to sales site increases the impact by 10%. Finally, we present measures to decrease the energy and GHG emissions impact of a micromobility device life cycle.in publicatio

    Purchasing green transport and logistics services:implications from the environmental sustainability attitude of 3PLs

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    Environmental sustainability is an area of increasing importance for third party logistics (3PL) companies. As the design and implementation of services requires interaction between buyer and 3PL, the 3PLs are in a critical position to support the efforts towards greening operations of different supply chain participants. However the literature in this field reflects a gap between the perspectives of buyers and 3PLs. This chapter attempts to fill this void through an explorative case study analysis on the environmental attitude of 3PLs in order to derive implications for buyers’ behavior. The results indicate that the buyer’s role is critical in different ways in the development of green initiatives among 3PLs. An increased orientation towards longer-term contracts and joint development would likely enhance the level of green initiatives. Indirectly, the buyer has the opportunity to influence its 3PLs through interaction with employees on different levels in the company, including top management

    Investigating sustainable and resilient supply chain management in Thai manufacturing

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    This thesis investigates the combinatory relationship between sustainable supply chain management (SSCM) and supply chain resilience management (SRES) by developing a new concept of sustainable and resilient supply chain management (SResSCM). Supply chain management has been implemented by organizations for more than three decades and has been developed by integrating different but independent concepts, such as SSCM. Furthermore, organizations also pay attention to business continuity during periods of risk and disruption. Most organizations prepare alternative plans to maintain resilience and SRES was developed to fulfil this strategy. Both SSCM and SRES concepts are important for organizations in order to improve supply chain performance, and are linked in many ways. However, our knowledge is lacking on the combinatory relationship and effects of these two elements as little empirical research has previously been done. This thesis undertakes such empirical research by applying a three-phase, mixed-methods approach: semi-structured interviews to inductively confirm the combination of these two independent concepts, a survey of Thai manufacturers in the electronic/electrical and automotive sectors, and post-survey structured interviews to validate the survey findings. Thailand was chosen as the context for the study as it is a major manufacturing nation for western customers.The research found interconnections between SSCM and SRES from the practitioners’ perspectives which enabled the theoretical development of a ‘House of SResSCM’ framework that organizations around the world can apply. This thesis also contributes theoretically by providing measurement scales of SResSCM practices to assess and define current levels of adoption SSCM and SRES, which supply chain managers can implement in their organization to improve current practices. Finally, the Thai Government could use this study to support Thai manufacturing and provide direction for supply chains to become more sustainable and resilient

    Supply chain collaboration and sustainable development goals (SDGs). Teamwork makes achieving SDGs dream work

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    The global push towards sustainable development has led to an upsurge in academic literature at the juncture of supply chain collaboration (SCC) and sustainability. The present paper aims to map this growing literature to understand how SCC can contribute to the achievement of broader Sustainable Development Goals (SDGs). Via a systematic review of literature (SLR), the paper maps key themes at the intersection of SCC and sustainable development. Relying on nine key themes, the study presents novel insights into the domain of SCC for sustainable development. The results of the SLR reveal that collaborative innovation, collaborative process and product development are key mechanisms driving SCC. However, the extant literature has not devoted much attention to the effectiveness of SCC mechanisms or their performance. Further, the current study posits that more effective SCC strategies can boost the sustainable operational performance of the supply chain (SC) by enhancing capacity building and resource utilisation. Based on the contingency approach, this study offers a novel framework linking SCC to SDGs. The study thus has the potential to help managers and practitioners identify strategic fields of action for achieving SDGs.publishedVersionPaid open acces
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