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.

随着物联网和数据科学的渗透，新的制造计划正在加速。然而，传统方法强调使用基于机器的数据。考虑到操作员的能力和身体状况，需要实现更高效的工作方式。在本文中，我们提出了一种生产计划方法来优化分配具有不同技能水平的机器和操作员。在制定了组合拍卖机制，制定了使总生产成本最小的计划后，我们验证了所提出的方法可以通过将计划与不同的评估指标相结合来实现以人为中心的生产计划。