复杂产品系统研发项目合作伙伴选择优化  

Optimization of R&D project partner selection for complex product systems

作　　者：寿涌毅[1] 宋淳江[1] 

机构地区：[1]浙江大学管理学院,浙江杭州310058

出　　处：《科研管理》2014年第10期144-149,共6页Science Research Management

基　　金：国家自然科学基金项目(71072119)

摘　　要：合理选择合作伙伴是复杂产品系统研发项目的关键成功因素之一。在对伙伴选择影响因素进行总结的基础上,选取费用、时间、风险及合作伙伴间的协作关系作为主要考虑因素,建立了复杂产品系统研发项目伙伴选择的多目标整数规划模型。该模型旨在为各子项目找到整体最佳的合作伙伴组合,以实现总项目失败风险最小化和总项目费用与拖期惩罚最小化。设计了遗传算法用于求解该伙伴选择数学模型,并通过实际案例证实了该模型的实用性和算法的有效性。Partner selection is one of the critical success factors of a complex product system（ CoPS） RD project. Factors influencing partner selection in the current literature were summarized and four factors were selected for consequent analysis,namely expenditure,time,risk and synergies among partners. A multi- objective integer programming model was proposed to formulate the decision- making process of partner selection. The objective is to search for an optimal combination of partners for sub- projects in order to reduce the risk of project failure and to minimize the overall project cost and tardiness penalty. A genetic algorithm was proposed to solve the mathematical model. An example was adopted and the computational results showed that the proposed model and the genetic algorithm are effective in selecting rational partners for CoPS projects.

关 键 词：复杂产品系统 伙伴选择 协作关系 多目标优化 遗传算法 

分 类 号：F224.3[经济管理—国民经济]