期刊
IEEE SYSTEMS JOURNAL
卷 9, 期 2, 页码 377-381出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2014.2339552
关键词
Cox proportional hazard (Cox-PH) model; supply chain; supply chain resilience; survival analysis
类别
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- East China University of Science and Technology through a program of the Fundamental Research Funds for the Central Universities
- State Key Laboratory of Synthetical Automation for Process Industries
Disruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently, a survival model [Cox proportional hazard (Cox-PH) model]. The survival model represents a time interval or period from the time the system failed to function to the time the system gets back with its function (i.e., recovery). The input to the model is, thus, a failure event; the output from the model is the recovery time. This model has been implemented. There is a case study to illustrate how the model is used to give a quantitative measurement of resilience, in terms of recovery time.
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