A Proposal on a resource matching method with consideration of strategyproofness in crowdsourced manufacturing systems
Takafumi Chida, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo · The Proceedings of Manufacturing Systems Division Conference · 2020
Recently, crowdsourced manufacturing concept highly attracts attention. In crowdsourced manufacturing, each company shares its manufacturing resources to improve asset efficiency. To design such systems, it is important how to (1) make matching between resource requests and offers to achieve high profit for whole system and (2) give incentives for participants to make them act in a fair way, i.e. make matching methods 'strategyproof'. In this paper, we propose a new resource matching method based on 'nucleolus' concept in cooperative game theory. The computational results show the proposed method balances high efficiency and better strategyproofness.