{"title":"On the Analytical Framework of Resilient Supply-Chain Network Assessing Excursion Events","authors":"A. Bhattacharya, J. Geraghty, P. Young","doi":"10.1109/AMS.2009.29","DOIUrl":null,"url":null,"abstract":"This paper conceptualises an analytical framework meant for resiliency of supply-chain networks by assessing excursion events. Modern Supply-Chain Networks (SCNs) face excursion events of various kinds mainly due to uncertain and turbulent markets, catastrophes, accidents, industrial disputes/strikes in organisations and terrorism. An “excursion event” is an unpredictable event that effectively shuts-down or negatively impacts the performance of at least one node/member of a system for a relatively long amount of time. In this paper, an analytical framework has been conceptualised that prevents a SCN to propagate the effects of the “excursion events” further and maintains the network at desired equilibrium level. The gestated quantitative decision-support approach facilitates the assessment of resilient strategies for SCNs prone to excursion events that are characterised by Low Probability of occurrence and High Impact (LPHI).","PeriodicalId":6461,"journal":{"name":"2009 Third Asia International Conference on Modelling & Simulation","volume":"5 1","pages":"392-397"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third Asia International Conference on Modelling & Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2009.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper conceptualises an analytical framework meant for resiliency of supply-chain networks by assessing excursion events. Modern Supply-Chain Networks (SCNs) face excursion events of various kinds mainly due to uncertain and turbulent markets, catastrophes, accidents, industrial disputes/strikes in organisations and terrorism. An “excursion event” is an unpredictable event that effectively shuts-down or negatively impacts the performance of at least one node/member of a system for a relatively long amount of time. In this paper, an analytical framework has been conceptualised that prevents a SCN to propagate the effects of the “excursion events” further and maintains the network at desired equilibrium level. The gestated quantitative decision-support approach facilitates the assessment of resilient strategies for SCNs prone to excursion events that are characterised by Low Probability of occurrence and High Impact (LPHI).