Han Tiaojuan, Lu Jianfeng, Zhang Hao
CIMS Research Centre, Tongji University, Shanghai, China.
Heliyon. 2023 Mar 21;9(3):e14732. doi: 10.1016/j.heliyon.2023.e14732. eCollection 2023 Mar.
In cloud manufacturing, the dynamic characteristics of manufacturing services increase the complexity of supply and demand matching. A peer effect between service demanders and a synergy effect between service providers affect the final matching result. This paper proposes a two-sided matching model of service providers and demanders considering the peer and synergy effects. First, a dynamic evaluation index system is proposed, and the index weight of service providers and demanders is determined based on the fuzzy analytical hierarchy process. Second, a two-sided matching model is established based on peer and synergy effects. Finally, the proposed method is validated by the collaborative manufacturing of hydraulic cylinders. The results reveal that the model effectively matches service demanders with service providers, improving the overall satisfaction of both parties.
在云制造中，制造服务的动态特性增加了供需匹配的复杂性。服务需求者之间的同伴效应和服务提供者之间的协同效应会影响最终的匹配结果。本文提出了一种考虑同伴效应和协同效应的服务提供者与需求者双边匹配模型。首先，提出了一个动态评价指标体系，并基于模糊层次分析法确定服务提供者和需求者的指标权重。其次，建立了基于同伴效应和协同效应的双边匹配模型。最后，通过液压缸的协同制造对所提方法进行了验证。结果表明，该模型能有效地将服务需求者与服务提供者进行匹配，提高了双方的总体满意度。
