一种分阶段的制造网络联盟伙伴选择方法研究

为合理地对大规模网络联盟企业进行合作伙伴的选择,提出了一种分阶段的伙伴选择算法.将伙伴选择过程分成粗选和最后决策两个阶段.在粗选阶段,考虑各子任务之间的约束,利用成本最小原则建立了该问题的数学模型,用遗传算法对所建立的模型进行求解,得到一组解,缩小了选择的范围;在决策阶段,进行综合决策分析,考虑多个影响因子,利用专家的经验从缩小的范围内确定出合适的合作伙伴.该方法利用数学和经验知识解决了大规模的伙伴选择问题.

A novel partner selection method by stage in manufacturing extended enterprise

In order to select partner reasonably in the large scale extended enterprise,a novel method is presented.In the method,the process of partner selection is divided into two stages such as rough selection and final decision-making.In the rough selection phase,a mathematic model is built considered restricts of every sub-task,and a group of results can be acquired by the Genetic Algorithm to reduce the range of partners.In the decision-making phase,several decision factors are considered by the fuzzy AHP method,and the equal partners can be found under the experts’ experiment form the small group.In this method by stage,the partner selection problem of large scale enterprise can be solved by the knowledge of mathematics and experience.