融入能力互补因素的生产联盟伙伴选择研究

Research on Manufacture Partner Selection with Competence Complementary Operator

资源的互补整合是企业联盟的主要目标,互补度的高低是决定企业联盟稳定性及联盟绩效的关键因素,本文针对生产联盟伙伴选择问题,提出了基于能力互补的选择策略,定义并深入剖析了基于生产能力的互补度评价系数。并在此基础上,构建了融入互补度评价系数的生产联盟伙伴选择3阶段模型,模型首先采用层次分析法和基于粒子群优化算法的多目标搜索算法,求得生产时间和生产成本的双目标帕累托最优解,再通过评价非劣解的互补度补充指导决策,最后选择通信行业的智能手机制造联盟中的伙伴选择问题作为仿真应用,分析了仿真结果并给出了结论。

The main objective for enterprises alliances is to integrate complementary resources, and complementary degree is a crucial factor affecting the alliance stability and alliance performance, so it is meaningful to do research on thecomplementary degree in partner selection. Based on the characteristics of manufacture alliance, an evaluation coefficient was designed to access the competence complementary degree in manufacture alliances. Then a manufacture partner selection model was constructed with the evaluation coefficient, in which selection rules was built with the consideration of complementary degree. The problem was solved which stated in the model. Firstly, AHP was used to filter the disqualified enterprises. Secondly, particle swarm optimization （PSO） was applied to obtain the Pareto optimal solutions. Last but not the least, complementary degree evaluation coefficient was calculated to support selection decisions. Also, communications industry was used as an example to implement the proposed model in MATLAB and conclusions were given by analyzing the simulation results.