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Evaluating the circular supply chain adoption in manufacturing sectors: A picture fuzzy approach

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  • Saraji, Mahyar Kamali
  • Streimikiene, Dalia

Abstract

In order to address the environmental and climate change challenges, the circular economy has gotten much attention from the worldwide economic and corporate platforms and policy domains. More specifically, the manufacturing sectors have played a crucial part in the global improvement of living standards. They are also associated with unsustainable production and consumption patterns in a linear system; thus, the circular economy has emerged as an alternative to the linear system. The companies should engage in more sustainable activities to transit to a circular economy and reap its advantages; thus, the present study aims to extend a novel picture fuzzy SWARA-COPRAS framework to assess the manufacturing sectors concerning circular supply chain management indicators. Therefore, sixteen indicators were identified through literature review, and then their weight was determined using picture fuzzy SWARA. Subsequently, the picture fuzzy COPRAS was applied to rank three manufacturing sectors in a home appliance company concerning the weighted indicators. The results indicated that “waste reduction” is the most influential indicator, followed by “circular supplier selection.” Furthermore, comparative and sensitivity analyses have been conducted to evaluate the proposed method's performance compared to the other methods and weight changes.

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  • Saraji, Mahyar Kamali & Streimikiene, Dalia, 2022. "Evaluating the circular supply chain adoption in manufacturing sectors: A picture fuzzy approach," Technology in Society, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:teinso:v:70:y:2022:i:c:s0160791x22001919
    DOI: 10.1016/j.techsoc.2022.102050
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