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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)
Department工业控制网络与系统研究室
Source PublicationJournal of Intelligent Manufacturing
ISSN0956-5515
2015
Volume26Issue:5Pages:899-910
Indexed BySCI ; EI
EI Accession number20143600017540
WOS IDWOS:000361486200006
Contribution Rank2
KeywordVirtual Enterprise Dynamic Risk-management Planning Genetic Algorithm Simulated Annealing Critical Path Method Markov Process
AbstractA 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.
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14733
Collection工业控制网络与系统研究室
Corresponding AuthorHuang M(黄敏)
Affiliation1.College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China
2.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, China
3.School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, China
4.Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, Shenyang, Liaoning, China
5.Department of Risk Science in Finance and Management, Chiba Institute of Technology, Chiba, Japan
Recommended Citation
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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