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

机译：基于穷举搜索的启发式解决可重构制造系统设计中的机器布局问题

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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 makesmachine 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：可重构制造系统（RMS）旨在克服常规制造系统在有效性和响应能力方面的不足，这些缺陷正面临着不可预测的市场条件和全球竞争对制造环境施加的越来越多的影响因素。 RMS必须更健壮，灵活且可重新配置，这使得机器布局问题成为实现此类设计的关键步骤。因此，任何建议的布局都需要改变并且易于重新设计。在本文中，我们考虑可重构上下文中的机器布局问题。我们开发了一种基于穷举搜索的启发式方法来解决它。为了提出最佳的相应机器布局，启发式方法应考虑制造环境中的各种限制，以及在性能指标下为设计的RMS生成的初始工艺计划。所建议的布局必须最好既要考虑到所生成的工艺计划所施加的约束，又要考虑那些要在车间中放置机器的可用位置的约束。提出了一个说明性的数值示例来证明我们方法的适用性。

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