GA-SA/CPM/Markov based dynamic risk-management planning for virtual enterprises
Jiang GJ(姜冠杰); Huang M(黄敏); Xu, Chunhui; Wang XW(王兴伟)
刊名Journal of Intelligent Manufacturing
2015
卷号26期号:5页码:899-910
关键词Virtual enterprise Dynamic risk-management planning Genetic algorithm Simulated annealing Critical path method Markov process
ISSN号0956-5515
通讯作者黄敏
产权排序2
中文摘要A virtual enterprise (VE) is always in an environment with unpredictable change and dynamic markets. Therefore, a VE is more susceptible to risks. Minimizing risk in the operation of a project and ensuring success are major issues to concern in VEs. This paper develops a novel three-level dynamic risk-management planning model for VEs focusing on project organization mode and dynamic features of risk with the objective to maximize the completion probability under the constraints of cost, due date, and quality. The first level adopts non-linear integer programming techniques, the second level is about risk evaluation for the whole project based on network analysis, and the third level is on a Markov process based single process risk evaluation. An algorithm of integrated genetic algorithm plus simulated annealing/critical path method/Markov (GA–SA/CPM/Markov) is then designed to solve the problem and compared with GA and SA respectively. Experimental results show that the proposed algorithm is effective and the three-level model can deal with dynamic risks for VEs.
收录类别SCI ; EI
语种英语
WOS记录号WOS:000361486200006
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/14733]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Jiang GJ,Huang M,Xu, Chunhui,et al. GA-SA/CPM/Markov based dynamic risk-management planning for virtual enterprises[J]. Journal of Intelligent Manufacturing,2015,26(5):899-910.
APA Jiang GJ,Huang M,Xu, Chunhui,&Wang XW.(2015).GA-SA/CPM/Markov based dynamic risk-management planning for virtual enterprises.Journal of Intelligent Manufacturing,26(5),899-910.
MLA Jiang GJ,et al."GA-SA/CPM/Markov based dynamic risk-management planning for virtual enterprises".Journal of Intelligent Manufacturing 26.5(2015):899-910.
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