Prioritizing the performance outcomes due to adoption of critical success factors of supply chain remanufacturing

Abstract

The objective of this study is to identify and prioritize the performance outcomes (POs) due to adoption of SC remanufacturing critical success factors (CSFs). CSFs and the POs realized due do SC remanufacturing adoption, are identified based on past relevant literature analysis and subsequent discussions with the expert decision panel. This research work propose a hybrid solution methodology namely fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), to prioritize the POs realized due to adoption of SC remanufacturing CSFs. Fuzzy AHP technique is used to obtain the relative weights of the CSFs by performing pair wise comparison amongst the criteria, while fuzzy TOPSIS is used to prioritize the POs due to adoption of SC remanufacturing CSFs. Further, the proposed methodological framework is applied to an Indian manufacturing organization to demonstrate its applicability, and prioritize the POs realized due to adoption of SC remanufacturing CSFs. The study presents more accurate, structured and systematic approach to the organization for improving its POs step-by-step through adoption of SC remanufacturing CSFs, thus increasing its sustenance capability. The impact of vagueness in the criterion weights on the prioritization is also investigated.