摘要
云制造的实践创新和相关机制研究是近几年供应链和制造领域研究的热点问题.研究云制造平台上的碎片化资源匹配问题,以探索物联网环境下提高企业资源配置效率的方法.基于前景理论,通过多属性评价,计算出资源供求双方之间的满意度,据此确定匹配主体的偏好序.以偏好序作为匹配依据,设计在考虑匹配数量的前提下,求解稳定匹配方案的"多对多"匹配算法,并论证匹配结果对于匹配优先方的Pareto最优性.最后,通过算例验证了整个匹配机制的可行性和有效性.
The practice innovation in cloud manufacturing and related mechanism have been widely investigated in the fields of supply chain management and manufacturing management for a few years. The fragmented resource matching problem on a cloud manufacturing platform is studied to find a way to improve the efficiency of enterprise resource allocation. With multi-attribute evaluation under the prospect theory, satisfaction degree values and corresponding preferences between sellers and buyers are calculted. And based on agents＇ preference information, a heuristic algorithm is designed to obtain a stable matching result for the many-to-many matching problem with matching quantities. It is demonstrated that the matching scheme obtained is a Pareto-optimal solution for the agents on a dominating side. Finally, a sample application is given to illustrated the feasibility and effectiveness of the whole matching mechanism.
出处
《控制与决策》
EI
CSCD
北大核心
2017年第5期871-878,共8页
Control and Decision
基金
国家自然科学基金项目(71472134)
关键词
云制造
资源匹配
前景理论
稳定双边匹配
cloud manufacturing
resource matching
prospect theory
stable two-sided matching
