{"title":"弹性供应链网络偏差事件评估分析框架研究","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":"{\"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}","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}
On the Analytical Framework of Resilient Supply-Chain Network Assessing Excursion Events
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).