クラウドマニュファクチャリングにおけるリソースマッチングへの協力ゲーム論的アプローチ

抄録

Recently, crowdsourced manufacturing concept highly attracts attention. In crowdsourced manufacturing, each company shares their manufacturing resources to improve asset efficiency. To design a crowdsourced manufacturing system, the authors previously proposed an evaluation method based on matching stability analysis for a resource matching between resource requests and offers. The computational simulation results showed that the system profit maximization policy makes a resource matching instable. In this research, we propose a balancing method between the system profit and the matching stability based on the 'nucleolus' concept in cooperative game theory. The computational results show the proposed method improves matching stability with keeping system profit level.