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Mathematical optimization for earliness/tardiness minimization in a multiple automated guided vehicle manufacturing system via integrated heuristic algorithms

机译:通过集成启发式算法在多重自动引导车辆制造系统中对提前/延误最小化的数学优化

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摘要

In this paper, a scheduling problem for multiple automated guided vehicles (AGVs) in a manufacturing system is proposed and formulated. Considering the due date of AGVs requiring for material handling among shops in a jobshop layout, their earliness and tardiness are significant in satisfying the expected cycle time and from an economic view point. Earliness results in AGVs waiting and tardiness causes temporary part storages in the shop floor. Therefore, we propose a mathematical program to minimize the penalized earliness and tardiness. Since the mathematical program is difficult to solve with a conventional method, an optimization method in two stages, namely searching the solution space and finding optimal solutions are proposed. The performance of the proposed mathematical model is tested in a numerical example and compared with several methods in the current literature. (C) 2015 Elsevier B.V. All rights reserved.
机译:在本文中,提出并制定了制造系统中的多个自动导引车(AGV)的调度问题。考虑到AGV的到期日需要在车间布局中的车间之间进行物料搬运,因此从经济角度出发,它们的早期性和延误性对于满足预期的周期时间非常重要。提前会导致AGV等候,而拖延会导致在车间临时存放零件。因此,我们提出了一个数学程序来最大程度地减少受罚的提前和拖延。由于数学程序难以用常规方法求解,因此提出了一种寻找求解空间和寻找最优解的两个阶段的优化方法。数值示例对提出的数学模型的性能进行了测试,并与当前文献中的几种方法进行了比较。 (C)2015 Elsevier B.V.保留所有权利。

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