Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience

确定性 弹性(材料科学) 风险分析(工程) 供应链 供应链风险管理 计算机科学 透视图(图形) 业务 供应链管理 服务管理 数学 营销 物理 几何学 热力学 人工智能
作者
Dmitry Ivanov,Alexandre Dolgui
出处
期刊:International Journal of Production Research [Taylor & Francis]
卷期号:57 (15-16): 5119-5136 被引量:282
标识
DOI:10.1080/00207543.2018.1521025
摘要

This study suggests a new approach to supply chain (SC) disruption risk management where SC behaviour is less dependent on the certainty of our knowledge about the environment and its changes. The unpredictability of the occurrence of disruption and its magnitude suggests that designing SCs with a low need for 'certainty' may be as important, if not more so, than predetermined disruption control strategies. In this setting, this study calls for the development of a new perspective in SC disruption management, i.e. low-certainty-need (LCN) SCs. A number of principles and concepts is derived in recent, relevant literature to structure the characteristics of the LCN framework and its management. Structural variety, process flexibility, and parametrical redundancy are identified as key LCN SC characteristics that ensure efficient disruption resistance as well as recovery resource allocation. Two efficiency capabilities of the LCN SC are shown, i.e. low need for uncertainty consideration in planning decisions and low need for recovery coordination efforts based on a combination of lean and resilient elements. The results allow the identification of an LCN SC framework, concepts and technologies for its implementation as well as missing themes and new research questions which contribute to a better understanding of SC disruption risks. Special focus is directed on the digital technology usage in the LCN framework implementation.
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