RETRACTED ARTICLE: Adoption of the sustainable circular supply chain under disruptions risk in manufacturing industry using an integrated fuzzy decision-making approach

Li Bai (), F. Javier Sendra Garcia () and Arunodaya Raj Mishra ()
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Li Bai: Nanjing University
F. Javier Sendra Garcia: ESIC Business and Marketing School
Arunodaya Raj Mishra: Government College Raigaon

Operations Management Research, 2022, vol. 15, issue 3, No 9, 743-759

Abstract: Abstract Circular initiatives in the supply chain (SC) address collaboration between SC management and the circular economy (CE). Sustainable circular supply chains (SCSC) allow firms to grow without causing the extraction of virgin resources and other environmental damage. They do this by returning waste materials to the manufacturing cycle instead of using new resources. As a result, those industries that tend to restructure their SCs on CE principles can gain economic, social, and environmental benefits. However, the rates of SCSC use are still low mainly because major risks are perceived to be associated with it, making decision-making difficult. The present paper develops a new decision-making methodology in order to address the multi-criteria decision-making (MCDM) problem. It uses a step-wise weight assessment ratio analysis (SWARA) and a combined compromise solution (CoCoSo) methodology on q-rung orthopair fuzzy sets (q-ROFSs). The SWARA in this method produces estimates of the weighting values of the SCSC risks in the manufacturing industry. CoCoSo ranks the firms working in the manufacturing sector according to the SCSC risks. Then, to demonstrate the performance quality of the proposed method, a computational study of the SCSC risks of a selection of appropriate firms in the manufacturing sector is outlined in the q-ROFSs environment. Comparative and sensitivity analyses were conducted in order to assess the efficiency of the developed approach. The results of the analysis confirmed the competence of the proposed approach in performing the tasks defined. Finally, the outcomes of the study show that the design for circularity with a weight value of 0.0352 is the main sustainable circular supply chain risk in manufacturing companies and the company-I with the overall compromise degree 2.0584 is the best company over different sustainable circular supply chain risks.

Keywords: Sustainable circular supply chain; q-rung orthopair fuzzy sets; Decision-making; Step-wise weight assessment ratio analysis (SWARA); Combined compromise solution (CoCoSo) (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s12063-022-00267-7

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