{"title":"Guided local search based distributed risk management for Virtual Enterprise","authors":"Xianli Sun, Min Huang, Xingwei Wang","doi":"10.1109/ICCA.2010.5524390","DOIUrl":null,"url":null,"abstract":"For the desired profit and anticipated goal, the Virtual Enterprises (VEs) must avoid the risk successfully. In view of its characteristics, such as the diversity of members and distribution of cooperative regions, the idea of distributed decision-making (DDM) is applied to the management of the Virtual Enterprises' risks, with a constructional-DDM risk management model developed for those Virtual Enterprises which are in relation to team, and a guide local search algorithm is designed to solve the model. The computation results of simulative examples show the effectiveness and feasibility of the model and algorithm.","PeriodicalId":155562,"journal":{"name":"IEEE ICCA 2010","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE ICCA 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2010.5524390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
For the desired profit and anticipated goal, the Virtual Enterprises (VEs) must avoid the risk successfully. In view of its characteristics, such as the diversity of members and distribution of cooperative regions, the idea of distributed decision-making (DDM) is applied to the management of the Virtual Enterprises' risks, with a constructional-DDM risk management model developed for those Virtual Enterprises which are in relation to team, and a guide local search algorithm is designed to solve the model. The computation results of simulative examples show the effectiveness and feasibility of the model and algorithm.