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Heuristics for a tool provisioning problem in a flexible manufacturing system with an automatic tool transporter

机译:带有自动工具运输器的柔性制造系统中的工具供应问题的启发式方法

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This paper considers a tool provisioning problem in a flexible manufacturing system (FMS) with an automatic tool transporter. The problem considered here is that of determining the number of copies of each tool type for a limited budget with the objective of minimizing makespan. This problem should be solved to decide the (additional) purchase of required tools when the FMS should be reconfigured due to change of part mix. To solve the problem, two heuristic algorithms are proposed. One is a composite search algorithm based on two greedy search methods, and the other is a search algorithm in which numbers of tool copies are determined based on tool groupings. In both algorithms, simulation results are used to find search directions. Computational experiments show that the latter search algorithm gives better results.
机译:本文考虑了带有自动工具运输机的柔性制造系统(FMS)中的工具供应问题。这里考虑的问题是,为了使制造时间最小化,为有限的预算确定每种工具类型的副本数量。应解决此问题,以决定(由于附加零件的变更)重新配置FMS时(额外)购买所需工具。为了解决这个问题,提出了两种启发式算法。一种是基于两种贪婪搜索方法的复合搜索算法,另一种是其中基于工具分组确定工具副本数量的搜索算法。在这两种算法中,仿真结果均用于查找搜索方向。计算实验表明,后一种搜索算法给出了更好的结果。

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