Auction-based production planning considering operators' skill criterion

被引：0

作者：

Kaihara, Toshiya ^{[1
]}

Kokuryo, Daisuke ^{[1
]}

Fujii, Nobutada ^{[1
]}

Itaya, Daichi ^{[1
]}

机构：

[1] Kobe Univ, Grad Sch Syst Informat, Kobe, Hyogo, Japan

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2021年 / 70卷 / 01期

关键词：

Production planning; Human aspect; Optimization;

D O I：

10.1016/j.cirp.2021.04.044

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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. (c) 2021 CIRP. Published by Elsevier Ltd. All rights reserved.

引用

页码：399 / 402

页数：4