Devising the performance indicators due to the adoption of reverse logistics enablers

Reverse logistics (RL) has turned into a key capability in current supply chain for treating the end-of-life products by all organizations (both public and private) to achieve sustainability. Organizing performance measures is a significant phase in adopting a coordinated and extensive approach to RL performance. This study aims to identify and prioritize the Reverse Logistics Performance Indicators (RLPI) according to their capability of measuring the success of RL implementation. A hybrid framework of Fuzzy Analytic Hierarchy Process (F-AHP) and modified Fuzzy Additive Ratio Assessment (F-ARAS) is proposed to fulfill the objective of this research. F-AHP in association with Extent Analysis utilized to get relative weights of RL enablers and modified F-ARAS is utilized to prioritize the RLPI due to the execution of RL enablers. An Indian electrical manufacturing company is selected for a case examination to validate the proposed framework’s pertinence. The prioritized list finds Environmental performance indicators (EP), Industrial Operations performance indicators (OP) and Customers performance indicators (CP) are of prime importance. Financial performance indicators (FP) and Social performance indicators (SP) are the next in the list. This is the most detailed, structured and systematic approach to study RLPI due to the implementation of RL enablers. The outcomes will provide knowledge to help the decision-makers to identify success and potential opportunities and to uncover the potency of organizational strategies. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.