基于多维模糊决策的云制造服务优选模型

Multi-dimension based fuzzy decision making model for selection of CM services

云制造平台提供了众多面向制造需求的备选服务,从中进行优选成为云制造资源优化配置乃至整个平台良性发展的先决条件.从运营、产品、组织的多维角度分析并凝练了云制造服务衡量准则,以实现对其进行全面的评价对比;在多维指标评价获取中,为有效弥补纯定性方法的主观偏差和唯统计手段的前瞻不足,采取了定性描述与定量分级、主观评价与客观统计相结合的策略;最后,在综合考虑既方便产生表征因素重要程度的模糊集,又有效应对最底层元素较多的前提下,构建了基于模糊决策的云制造服务优选模型,并通过算例对其适用性进行了验证.

Cloud manufacturing platform provides plenty of services orienting the manufacturing requirements.Consequently,the selection from these services is of great significance for optimal allocation of cloud manufacturing resources and development of the whole platform.In this paper,the criteria are summarized into three dimensions for comprehensive evaluation of services：operation,product and organization.In order to avoid the subjectivity of mere qualitative means or the unpredictability of statistics,a hybrid method,which combines qualitative description with quantitative grades and subjective evaluation with objective statistics,is presented.And then,the fuzzy decision making model for service selection is constructed.It is not only convenient for the generation of fuzzy sets which reflect the important degree of factors,but also effective to deal with numerous plans at the bottom.At last,a case demonstrates the applicability of this model.