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.

中文翻译：

---

使用灰色影响分析 （GINA） 对供应链中的工业 4.0 进行弹性增强器和障碍分析


本研究调查了工业 4.0 （I4.0） 使能技术在增强供应链系统弹性方面的影响，以及在供应链中采用工业 4.0 的障碍。我们使用新颖的灰色影响分析 （GINA） 来检查供应链弹性增强剂和障碍之间的影响关系。该研究确定了采用 I4.0 的 7 个增强因素和 9 个障碍，可以提高供应链弹性。在分析增强因素时，研究结果表明，供应链中的可见性和协调性是主要的增强因素。对于障碍，根据整体影响力得分，财务限制、缺乏技能和专业知识以及无法获得新技术分别排名第一、第二和第三。已确定的采用 I4.0 的障碍表明，减少财务限制可以促进工业 4.0 技术的实施。这项研究是初步调查之一，旨在分析采用工业 4.0 的供应链弹性增强因素和障碍。本研究的结果可以帮助决策者和从业者克服已发现的障碍，从而专注于弹性的重要增强因素，以促进在供应链中有效采用工业 4.0。