Production management for mass customization and smart cellular manufacturing system: NSGAII and SMPSO for factory-level planning

被引：0
作者：
Elie Maalouf
Joanna Daaboul
Julien Le Duigou
Bassam Hussein
机构：
[1] Université de Technologie de Compiègne,Roberval Laboratory, Department of Mechanical Engineering
[2] Lebanese International University,Industrial Engineering Department
来源：
The International Journal of Advanced Manufacturing Technology | 2022年 / 120卷
关键词：
Mass customization; Smart manufacturing; Production planning; Cellular manufacturing system; Process planning; Industry 4.0;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a distributed approach for smart production management in a cellular manufacturing system offering mass-customized products. This approach is based on three decision levels: factory-level (master planning module), shop floor level (bidding system) dealing with unexpected events, and cell level. The approach integrates planning, scheduling, and material handling allocation while considering real-time data from the supply chain. A mathematical model for factory-level planning is proposed with two sequence-based resolution approaches implemented on two metaheuristics, NSGAII and SMPSO. These were tested on a numerical example after optimizing their parameters tuning.
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页码：6833 / 6854
页数：21
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