NDLI: GA–SA/CPM/Markov based dynamic risk-management planning for virtual enterprises

Content Provider	Springer Nature Link
Author	Jiang, Guanjie Huang, Min Xu, Chunhui Wang, Xingwei
Copyright Year	2014
Abstract	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.
Starting Page	899
Ending Page	910
Page Count	12
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	26
Issue Number	5
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2014-04-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Virtual enterprise Dynamic risk-management planning Genetic algorithm Simulated annealing Critical path method Markov process Production/Logistics/Supply Chain Manufacturing, Machines, Tools Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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