基于协同学理论的虚拟企业合作伙伴选择研究

Partner Selection in a Virtual Enterprise Based on Synergetic Theory

为最大化虚拟企业项目中各任务间的协同程度,提出了一种基于协同学理论的虚拟企业伙伴选择方法。建立了以极大化系统协同度为优化目标的伙伴选择模型,该模型考虑了系统的交货时间、总费用和产品准时交货率等因素的协同度。此外,针对基本杂草算法在求解伙伴选择模型的过程中容易陷入局部极值的缺点,设计了一种嵌入混沌搜索行为的混合杂草算法来求解该模型。仿真结果表明了该方法的可行性及有效性。

To maximize the degree of virtual enterprise synergism between the subtasks in a project, a virtual enterprise partner selection method is proposed based on synergetic theory in this paper. And then, in order to maximize the degree of system synergsim, the partner selection model of this optimization goal is developed, in this model, several factors of the system degree of synerg- sim are taken into account, such as the delivery time, all-in cost and product on-time delivery rate, etc. In addition, it is well known that, the basic invasive weed optimization algorithm in the process of solving partner selection easily falls in local optimal solution. To deal with this problem, the hybrid invasive weed optimization algorithm is come up with, that the chaos is embeded to solve this problem Finally, the simulation result indicates the feasibility and effectiveness of the proposed method.