Modelling the Key Performance Indicators of Responsive Healthcare Supply Chain Management in India - A Fuzzy ANP and Fuzzy DEMATEL Approach

Abstract

The purpose of the study is to design a to model key performance indicators (KPIs) of responsive healthcare supply chain management in India through integrated Fuzzy Analytic Network Process (FANP) and Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) approach.14 KPIs organized into four clusters: Emergency Response & Time-Critical Operations, Supply Chain Agility & Flexibility, Digital Integration & Visibility, and Quality Assurance & Compliance. The study involved use of expert judgments involving healthcare supply chain experts in India to form causal relationships and assign priorities weights. The FDEMATEL analysis showed Digital Integration & Visibility was the most influential cluster on the other clusters with the Emergency Response & Time-Critical Operations being the most affected cluster. The FANP outcomes revealed Emergency Response Time, Real-time Inventory Visibility Rate, and Supply Chain Flexibility Index as the most significant KPIs with weight of 0.142, 0.138, and 0.125 correspondingly. It is restricted to the Indian healthcare environment, and is based on the expert opinions. Future studies may confirm the findings with empirical research in various geographic locations. The given model helps healthcare organizations and policymakers prioritize resources, enhance the supply chain responsiveness, and develop better crisis preparedness capacities.