供应链
弹性(材料科学)
有可能
工业4.0
业务
供应链管理
供应链风险管理
系统回顾
大流行
风险分析(工程)
2019年冠状病毒病(COVID-19)
过程管理
知识管理
计算机科学
营销
服务管理
政治学
梅德林
心理学
嵌入式系统
法学
传染病(医学专业)
心理治疗师
医学
疾病
病理
物理
热力学
作者
Alexander Spieske,Hendrik Birkel
标识
DOI:10.1016/j.cie.2021.107452
摘要
The COVID-19 pandemic is one of the most severe supply chain disruptions in history and has challenged practitioners and scholars to improve the resilience of supply chains. Recent technological progress, especially industry 4.0, indicates promising possibilities to mitigate supply chain risks such as the COVID-19 pandemic. However, the literature lacks a comprehensive analysis of the link between industry 4.0 and supply chain resilience. To close this research gap, we present evidence from a systematic literature review, including 62 papers from high-quality journals. Based on a categorization of industry 4.0 enabler technologies and supply chain resilience antecedents, we introduce a holistic framework depicting the relationship between both areas while exploring the current state-of-the-art. To verify industry 4.0’s resilience opportunities in a severe supply chain disruption, we apply our framework to a use case, the COVID-19-affected automotive industry. Overall, our results reveal that big data analytics is particularly suitable for improving supply chain resilience, while other industry 4.0 enabler technologies, including additive manufacturing and cyber-physical systems, still lack proof of effectiveness. Moreover, we demonstrate that visibility and velocity are the resilience antecedents that benefit most from industry 4.0 implementation. We also establish that industry 4.0 holistically supports pre-disruption resilience measures, enabling more effective proactive risk management. Both research and practice can benefit from this study. While scholars may analyze resilience potentials of under-explored enabler technologies, practitioners can use our findings to guide industry 4.0 investment decisions.
科研通智能强力驱动
Strongly Powered by AbleSci AI