Selecting Capabilities to Mitigate Supply Chain Resilience Barriers for an Industry 4.0 Manufacturing Company: An AHP-Fuzzy Topsis Approach

Autor: Ashish Agarwal, Nitin Seth, Nishtha Agarwal
Rok vydání: 2022
Předmět:
Zdroj: Journal of Advanced Manufacturing Systems. 21:55-83
ISSN: 1793-6896
0219-6867
Popis: 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.
Databáze: OpenAIRE