Resilience enhancers and barriers analysis for Industry 4.0 in supply chains using grey influence analysis (GINA)

Abstract

This study investigates the impact of Industry 4.0 (I4.0) enabling technologies in enhancing the resilience of supply chain systems and the barriers to adopting Industry 4.0 in the supply chains. We use the novel grey influence analysis (GINA) to examine the influence relations among supply chain resilience enhancers and barriers. The study has identified seven enhancers and nine barriers to adopting I4.0 that can improve supply chain resilience. While analyzing the enhancers, the research findings indicate that visibility and coordination in the supply chain are the major enhancers. For barriers, based on the overall influence score, financial constraints, lack of skills and expertise, and inaccessibility of new technology have ranked first, second, and third, respectively. The identified barriers to adopting I4.0 indicate that reducing financial constraints could facilitate the implementation of Industry 4.0 technologies. This study is among the initial investigations to analyze the supply chain resilience enhancers and barriers together for adoption of Industry 4.0. The findings of this study can assist decision-makers and practitioners in overcoming the identified barriers, thereby focusing on the important enhancers of resilience for facilitating the effective adoption of Industry 4.0 in supply chains.