Causal modelling of the enablers of CPFR for building resilience in manufacturing supply chains

Supply chain resilience is widely receiving attention during the past decade. Collaboration and visibility enhancement in supply chains a key to achieve robustness chains. Collaborative Planning, Forecasting Replenishment (CPFR) always been one of difficult, yet powerful tool for collaboration Companies, general attempt address technological side changes, but avoid addressing non-technological it, while implementing CPFR. This paper aims explore enablers CPFR, separately considering Indian manufacturing industries study their causal relations, using Interpretive Structural Modeling (ISM). The results are beneficial, as managers can concentrate on enablers, success factors implementation slightly vary across different industries, applicability result wider due several common issues that arise its implementation. Thus, provide directions most influencing act critical successful These influential be given much focus reduce vulnerabilities enhance capabilities firms