Measuring Circular Supply Chain Risk: A Bayesian Network Methodology

The world is facing economic, as well social, crisis due to the COVID-19 pandemic. Implementing sustainable practices one of possible ways address these issues. Adopting circular oriented techniques throughout supply chain not only guarantees economic profitability, but also provides an edge organization in market fierce global competition. concept implementing circularity novel and dynamic nature, it involves certain risk. In this study, a Bayesian Network methodology adopted analyze how risk propagation takes place network automobile organization. consists group manufacturers, retailers recyclers, located Delhi–NCR region. Economic, environmental, technological, waste management, agile vulnerability, cannibalization are major categories that were identified through extensive literature review. Further, impact on performance analyzed by considering parameters such lost sales, revenue, inventory holding cost. Risk exposure index incorporated into study vulnerability each node. findings reveal reverse side can be source during implementation concept. This work carried out under single industry domain. future, analysis examined other sectors. assist managers experts focus areas more vulnerable