Heuristic approaches to solve the U-shaped line balancing problem augmented by genetic algorithms

Matthew H Jones, Stephen D Patek, B. Tawney, Eds
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引用次数: 19

Abstract

U-shaped production line can be described as a special type of cellular manufacturing used in just-in-time (JIT) and lean manufacturing. The U-line arranges machines around a U-shaped line in the order in which production operations are performed. Operators work inside the U-line. We address the Type 1 U-LBP using heuristic rules adapted from the simple LBP. Then these heuristic approaches are compared with the optimal solutions obtained from the previous published research work. Finally the heuristic rules are used as genes to find optimal or near optimal solutions using a genetic algorithm adapted from the simple LBP genetic algorithm proposed by Ponnam-balam, Aravindan, and Mogilesswar (2000). The results showed that some very simple heuristic rules produced optimal or near optimal solutions. Then with the simple implementation of a genetic algorithm it is possible to some times obtain optimal solutions in the first iteration
基于遗传算法的u型线平衡问题的启发式求解
u型生产线可以被描述为一种特殊类型的单元制造,用于准时生产(JIT)和精益生产。u型线按照生产操作的顺序将机器围绕u型线排列。接线员在u型线路内工作。我们使用从简单LBP改编的启发式规则来解决1型U-LBP。然后将这些启发式方法与先前发表的研究工作中得到的最优解进行比较。最后,启发式规则被用作基因,使用从Ponnam-balam、Aravindan和Mogilesswar(2000)提出的简单LBP遗传算法改编的遗传算法来寻找最优或接近最优解。结果表明,一些非常简单的启发式规则产生最优或接近最优解。然后,通过遗传算法的简单实现,有时可以在第一次迭代中获得最优解
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