A Hybrid Fuzzy AHP – Fuzzy TOPSIS Approach for Prioritizing Critical Enablers of Responsive Healthcare Supply Chain Management in India

Abstract

This research identifies, evaluates, and ranks the critical enablers of responsive healthcare supply chain management (RHSCM) in the Indian healthcare context. The study employs an integrated Fuzzy Analytic Hierarchy Process (FAHP) with Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) methodology to analyse twelve sub-enablers within four main enabler categories. Results demonstrate that Information Transparency (global weight: 0.160), Real-time Supply Chain Visibility (global weight: 0.134), and Strategic Commitment and Resource Availability (global weight: 0.144) are the three most critical enablers for enhancing RHSCM performance. Both FAHP and FTOPSIS rankings produced consistent results with closeness coefficients of 0.613, 0.534, and 0.581, respectively, for these top enablers. The Technology and Information-Centric category received the highest importance weight (0.42) among the four main enabler categories. This research contributes significant analytical insights for healthcare administrators and policymakers to effectively prioritize investments and strategic interventions in RHSCM implementation within the resource-constrained Indian healthcare environment.