Model of decision support for the configuration of manufacturing system

被引：6
作者：
Wikarek, Jaroslaw [1 ]
Sitek, Pawel [1 ]
Nielsen, Peter [2 ]
机构：
[1] Kielce Univ Technol, Inst Management & Control Syst, Al 1000 Lecia PP 7, PL-25314 Kielce, Poland
[2] Aalborg Univ, Dept Mat & Prod, Aalborg, Denmark
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 13期
关键词：
mathematical programming; optimization; decision support; machine loading problem; flexible manufacturing systems; reconfigurable manufacturing systems; MULTIMODAL PROCESSES; ALLOCATION PROBLEM; PROGRAMMING-MODEL; OPTIMIZATION; FMS;
D O I：
10.1016/j.ifacol.2019.11.232
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Manufacturing enterprises today have to face the volatility of markets, characterized by a decreasing production volume and an increasing number of product variants to meet customer expectations. Traditional dedicated manufacturing lines (DML) have been replaced by flexible manufacturing systems (FMS) and, recently, by the systems that combine features of DML and FMS, i.e., by reconfigurable manufacturing systems (RMS). Appropriate manufacturing support and optimization systems for FMS and RMS will advance the quality and effectiveness of reconfigurable manufacturing. This paper proposes an original mixed integer linear programming (MILP) model for decision support in configuration and reconfiguration of the manufacturing system. The modeled problem is a certain development of the known machine loading problem MLP. In this approach, we generate a highly parameterized model based on a set of constraints and a set of questions. Different mathematical programming (MP) - based solvers are proposed to solve this model. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：826 / 831
页数：6
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