Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

As the world has seen impact of COVID-19, development resilient supply chain strategies emerged as top priority. The inconsistent demands, product consumption and shorter lifecycle products during pandemic needs appropriate planning designing to make more resilient. In this study, an analytical model is proposed assess resilience overcome effect disruption impacts. risks will depend on nature business therefore, besides literature review inputs from experts were required. interdependency among indicators was analysed by employing Interpretive Structural Modelling (ISM) demonstrated with help a framework. strength interdependence assessed using Bayesian Network approach. BN transformed qualitative expert quantitative assessment utilising principles conditional probability. Three cases Indian manufacturing industries used demonstrate critical integrated ISM-BN showed that approach can assist decision makers in identifying be focused towards improving outbreak Covid-19 pandemic. A comparative analysis risk also been performed, thereby extending practical implication resilience.