Intelligent production control decision support system for flexible assembly lines

被引：36
|
作者：
Guo, Z. X. [1 ]
Wong, W. K. [1 ]
Leung, S. Y. S. [1 ]
Fan, J. T. [1 ]
机构：
[1] Hong Kong Polytech Univ, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 03期
关键词：
Production control; Decision support system; Flexible assembly lines; Genetic algorithms; Radio frequency identification; Learning curves; SHOP SCHEDULING PROBLEMS; BALANCING PROBLEM; ALGORITHMS;
D O I：
10.1016/j.eswa.2008.03.023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, a production control problem on a flexible assembly line (FAL) with flexible operation assignment and variable operative efficiencies is investigated. A mathematical model of the production control problem is formulated with the consideration of the time-constant learning curve to deal with the change of operative efficiency in real-life production. An intelligent production control decision support (PCDS) system is developed, which is composed of a radio frequency identification technology-based data capture system, a PCDS model comprising a bi-level genetic optimization process and a heuristic operation routing rule is developed. Experimental results demonstrated that the proposed PCDS system could implement effective production control decision-making for solving the FAL. (c) 2008 Published by Elsevier Ltd.
引用
收藏
页码：4268 / 4277
页数：10
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