A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case

摘要

Adoption of sustainability has become extremely essential aspect over the last decade for the industries to sustain in the global market. However, the adoption of sustainability in supply chain is more concern for the manufacturing organisations. Constantly, changing market has insisted these organisations to revisit their supply chain activities in order to penetrate sustainability effectively through various practices such as lean, green, circular, and industry 4.0 etc. But, the lack of verified Sustainable Supply Chain Management (SSCM) frameworks has become a concern for the practitioners. Similarly, solutions required to overcome the SSCM adoption issues also need to be updated accordingly to changing business environments. So, the present study aims to develop a framework to overcome SSCM challenges through industry 4.0 and circular economy based solution measures. This study identifies a unique set of 28 SSCM challenges and 22 solution measures. Further, an automotive case organisation is used to test the applicability of the developed framework through hybrid Best Worst Method (BWM)- ELimination and Choice Expressing REality (ELECTRE) approach. The inputs for BWM-ELECTRE approach is obtained by constructing an expert panel within the case organisation. Initial inputs are taken for BWM comparisons to compute the weight of SSCM challenges; whereas, further a comparison of challenges and solution measures is also obtained for ELECTRE approach to compute the final ranking of the solution measures to overcome SSCM challenges. The case findings reveal that managerial and organisational challenges and economic challenges emerge as most critical to SSCM adoption. The present study outcomes will be beneficial for researchers working in SSCM industry 4.0 and circular economy domain; whereas, the practitioners can use the prioritised solution measures to formulate effective strategies to overcome SSCM adoption failures. (C) 2020 Elsevier Ltd. All rights reserved.