A hybrid Pythagorean fuzzy AHP - CoCoSo framework to rank the performance outcomes of circular supply chain due to adoption of its enablers.

Abstract

In the last few years, the Circular Supply Chain (CSC) has gained considerable attention among researchers, practitioners, and policymakers. It offers immense opportunities to embrace supply chain operations in three dimensions of sustainability. This study aims to identify and rank the performance outcomes (POs) realized due to CSC enablers (CSCEs) adoption. The study proposes a hybrid framework of the Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy combined compromised solution (PF-CoCoSo) to achieve the objectives of this research. PF-AHP is used to obtain the CSCEs relative weights while PF-CoCoSo is used to ranks the POs concerning the CSCEs. An empirical case study is conducted for an Indian manufacturing organization to demonstrate the proposed framework's applicability. The result reveals that 'global climate pressure and ecological scarcity of resources' is the most significant CSCE to achieve the sustainability in the supply chain, followed by 'government rules, legislations and directives for CSC adoption', 'environment management certifications and systems', whereas, 'reduces waste and promotes green development' is the most critical PO realized due to adoption of CSCEs in CSC implementation process. The proposed framework is a systematic, more comprehensive, accurate, and structured approach to the business organization to improve its POs in a step-wise manner by implementing CSCEs. Sensitivity analysis is performed to check the effectiveness of the proposed framework. This research provides substantial contributions to sustainable development in the society as well as in the industry, and it will help researchers, practitioners, and policymakers working in the domain of CSC.