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Exhaustive Search Based Heuristic for Solving Machine Layout Problem in Reconfigurable Manufacturing System Design

机译:基于彻底的搜索可重构制造系统设计中的机器布局问题的启发式问题

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Reconfigurable manufacturing systems (RMS) are designed to overcome the shortcomings of conventional manufacturing systems in terms of effectiveness and responsiveness facing the increasingly influencing factors imposed on the manufacturing environment by unpredictable market condition and global competition. RMS is required to be more robust, flexible and reconfigurable, which makes machine layout problem a key step to fulfill such design. Thus, any proposed layout needs to be changeable and easily redesigned. In this paper, we consider the machine layout problem in reconfigurable context. We develop an exhaustive search based heuristic to solve it. To propose the best respective machine layout, the heuristic considers various constraints from the manufacturing environment, and the initial generated process plan for the designed RMS under performance metrics. The proposed layout must at its best, respects both the constraints imposed by the generated process plan and those depicting the available location in the shop floor where machines are going to be placed. An illustrative numerical example is proposed to demonstrate the applicability of our approach.
机译:可重构的制造系统(RMS)旨在克服传统制造系统的缺点,以越来越多地影响制造环境对制造环境的越来越多的影响因素,通过不可预测的市场状况和全球竞争。 RMS需要更加强大,灵活和可重新配置,这使得机器布局问题符合此类设计的关键步骤。因此,任何提出的布局都需要可变,并且容易重新设计。在本文中,我们考虑了可重新配置的情况下的机器布局问题。我们开发了一种以穷举的搜索启发式解决它来解决它。为了提出最佳的各个机器布局,启发式旨在从制造环境中考虑各种约束,以及在性能度量标准下的设计RMS的初始生成的过程计划。所提出的布局必须最佳,尊重所生成的过程计划所施加的约束以及描绘机器中的商店地板中的可用位置的限制。提出了说明性的数值例子来证明我们的方法的适用性。

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