文献类型：期刊文献

英文题名：Measuring the Resilience of Supply Chain Systems Using a Survival Model

作者：Raj, Ratan[1,2,3];Wang, J. W.[4,5];Nayak, Ashutosh[1];Tiwari, M. K.[1];Han, B.[2];Liu, C. L.[4];Zhang, W. J.[2]

机构：[1]Indian Inst Technol, Dept Ind Engn & Management, Kharagpur 721302, W Bengal, India;[2]Univ Saskatchewan, Adv Engn Design Lab, Saskatoon, SK S7N 5A9, Canada;[3]Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2G8, Canada;[4]E China Univ Sci & Technol, Complex Syst Res Ctr, Shanghai 200237, Peoples R China;[5]Univ Hong Kong, Dept Ind & Mfg Syst Engn, Kowloon, Hong Kong, Peoples R China

年份：2015

卷号：9

期号：2

起止页码：377

外文期刊名：IEEE SYSTEMS JOURNAL

收录：;EI(收录号：20152200899869);WOS:【SCI-EXPANDED(收录号:WOS:000355211600006)】；

基金：The work of W. J. Zhang was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) through a strategic project. The work of C. L. Liu was supported by the East China University of Science and Technology through a program of the Fundamental Research Funds for the Central Universities. The work of J. W. Wang was supported by the State Key Laboratory of Synthetical Automation for Process Industries. (Corresponding author: W. J. Zhang.)

语种：英文

外文关键词：Cox proportional hazard (Cox-PH) model; supply chain; supply chain resilience; survival analysis

摘要：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.