An Implementation Framework for Resiliency Assessment in a Supply Chain

To enhance their capabilities, modern businesses employ an agility and flexibility approach within their supply chains, but this also causes supply chain instability. As a result, supply chain resiliency (SCR) is quickly piquing the interest of academics and business people. By identifying methodologies for SCR evaluation, classifying assessment techniques, and suggesting a broad framework for SCR assessment, this research aims to offer a review of SCR literature. The systematic literature review method investigates a total of 330 articles published from 2008 to 2022. After applying the selection criteria, 79 peer-reviewed studies were identified as the most relevant. The textile industry case study has been carried out to assess the resiliency with the use of Bayesian network modelling. The paper examines strategies for building resiliency to understand SCR assessment, then develops a framework for it, and classifies its assessment methods. The generalized framework consists of five steps for SCR assessment: disruption modelling, factor identification, assessment methods, resiliency quantification, and resiliency metric. This study also presents a case study to explain the SCR assessment in practice. The previous studies lack the definition of the steps for resiliency assessment in the supply chain. This is one of the first studies examining existing literature on resiliency assessment steps. It also proposes a global framework for supply chain resiliency assessment. Further, this framework is being tested using a case from the textile industry. The typology of SCR literature can assist the decision-makers in understanding SCR and techniques for assessing the resiliency of their supply chain.