Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies

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• 作者：Abroon Qazi^a ; ^{abroon.qazi@strath.ac.uk} ; John Quigley^a ; ^{j.quigley@strath.ac.uk} ; Alex Dickson^b ; ^{alex.dickson@strath.ac.uk} ; Şule Ö ; nsel Ekici^c ; ^{sonsel@dogus.edu.tr}
• 关键词：Supply chain risk management ; Bayesian Belief Networks ; Failure Modes and Effects Analysis ; Risk measures ; Risk mitigation strategies
• 刊名：European Journal of Operational Research
• 出版年：2017
• 出版时间：16 May 2017
• 年：2017
• 卷：259
• 期：1
• 页码：189-204
• 全文大小：1926 K
• 卷排序：259

文摘

A SCRM process integrating all stages of the risk management process is proposed. Interdependency between risk sources, risks and mitigation strategies is captured. New risk measures are introduced for ranking interdependent supply chain risks. Shapley value is utilised to determine a fair allocation of resources to critical risks. A method for selecting optimal risk mitigation strategies is proposed.