Auction-based production planning considering operators' skill criterion |
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Authors: | Toshiya Kaihara Daisuke Kokuryo Nobutada Fujii Daichi Itaya |
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Affiliation: | Graduate School of System Informatics, Kobe University, Kobe, Japan |
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Abstract: | With the penetration of the IoT and data science, new manufacturing initiatives are accelerating. However, conventional approaches have emphasized the use of machine-based data. A need exists to realize more productive work styles considering the abilities and physical condition of operators. In this paper, we propose a production planning method to allocate machines and operators with different skill level optimally. After formulating a combinatorial auction mechanism, developing a schedule that minimizes the total production cost, we verify that the proposed method can realize human-centered production planning by combining the schedules with different evaluation indices. |
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