Narrow Results

The aim of study is to prioritize resilient capabilities required for an Industry 4.0 manufacturing business. These capabilities are prioritized considering the barriers faced by their supply chains in becoming resilient. After the review of literature and discussion with experts from the case company and other supply chain professionals, the barriers and resilient capabilities were shortlisted. The study utilized a hybrid of AHP-fuzzy TOPSIS technique to provide weights to the criteria variables (here barriers) and rank the alternatives (here resilient capabilities). Five criteria of barriers were identified for the purpose of the study, namely, strategic barriers, technological barriers, cultural barriers, individual barriers, and organizational barriers. Twenty-three subcriteria were identified for these barriers. Six capabilities were decided upon to be prioritized out of which planning capabilities were obtained to be the most important followed by collaborative, agile, supply chain design modification capability, interoperability, and supply flexibility. The study attempts to fill the gap identified in the literature regarding the lack of studies on supply chain resilience barriers. It therefore provides a realistic framework to prioritize the resilience capabilities required for mitigating such barriers.

In the present era of vulnerabilities, the concept of the resilient supply chain has appeared to be the most promising and efficient tool to adapt and recover from significant disruptions. Though enormous research is available regarding the capabilities and practices that enable the resilient supply chain’s success, little consideration is given to the barriers that inhibit its successful implementation in the actual scenario. In this research, we have identified 14 critical barriers to resilient supply chain in the context of the Indian manufacturing supply chain. Further, we have used an integrated Fuzzy-DEMATEL approach to evaluate these barriers. The findings reveal that lack of managerial commitment is among the most influencing barriers to the resilient supply chain, followed by poor risk awareness and poor information sharing. This research enables the academicians to understand the resilient supply chain’s various capabilities, practices and barriers and provides a novel approach for quantitative analysis of the subjective parameters. Moreover, the findings enable the supply chain practitioners to allocate the resources and capabilities that mitigate the barriers and make the supply chain genuinely resilient.