为降低虚拟企业的风险,提出新的虚拟企业风险管理的分布式决策模型.该模型分为上层和下层,分别描述了虚拟企业中盟主和盟员的决策过程.盟主为虚拟企业中的各个成员分配预算资金,盟员在分配到的预算资金下选择最优的风险控制措施组合,以减小风险.当虚拟食业的成员数量、风险因素及其措施的数量较大时,该问题的搜索空间将十分巨大.针对虚拟企业多成员的特点,设计了多种群粒子群算法进行求解.仿真分析表明了该算法的有效性.%To reduce risks of Virtual Enterprise(VE), a novel Distributed Decision Making(DDM) model for VE risk management was presented. This model had two levels, namely, the top-model and the base-model, which described the decision processes of the owner and the partners, respectively. The owner allocated funds to each member of the VE, the partners then selected their own optimal risk control actions to reduce their risks with the constraint given by the allocated budget. When number of members in VE, the number of risk factors and the number of actions increased, the size of the search space would be very huge. Aiming at the feature of many members of VE, a Multi-swarm Particle Swarm Optimization(MPSO) algorithm was designed to solve the optimization problem. Simulation results revealed the effectiveness of the proposed algorithm.
展开▼
