Optimization of Reconfigurable Manufacturing Systems Configuration Using Constraint Programming

被引：0

作者：

Lovato, Damien ^{[1
]}

Bouzekri, Hamza ^{[1
]}

Sabioni, Rachel Campos ^{[2
]}

Zidi, Slim ^{[1
]}

机构：

[1] Capgemini Engn Res & Innovat Dept France, 4 Ave Didier Daurat, F-31700 Blagnac, France

[2] PwC France & Maghreb Aerosp & Def Operat, 1 Sq Occitane, F-31080 Toulouse, France

来源：

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS-PRODUCTION MANAGEMENT SYSTEMS FOR VOLATILE, UNCERTAIN, COMPLEX, AND AMBIGUOUS ENVIRONMENTS, APMS 2024, PT V | 2024年 / 732卷

关键词：

Reconfigurable manufacturing systems; Multi-part flow line; Configuration selection; Optimization; Constraint programming; OBJECTIVE OPTIMIZATION; DESIGN; GENERATION; SELECTION; MODEL;

D O I：

10.1007/978-3-031-71637-9_5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To cope with market unpredictability and uncertainty, manufacturing industries should be able to rapidly adapt their manufacturing systems to be more responsive to market changes. Reconfigurable Manufacturing Systems (RMS) offer an alternative to traditional manufacturing systems. They can rapidly reconfigure and readapt their capability and functionality to meet new requirements without the need to start from scratch. RMS are complex systems and a critical phase in their implementation involves their design. We propose a new constraint programming approach to minimize the total investment cost of a multi-part flow line configuration. The approach was implemented and tested on a literature case study. The results show the ability of the method to find an optimal solution in few seconds for a small instance.

引用

页码：61 / 75

页数：15

共 35 条

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