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Two step facility layout optimization of an Indian bus body manufacturing plant using artificial bee colony algorithm and its variants

机译:使用人工蜂群算法及其变体对印度巴士车身制造厂的两步设施布局优化

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Facility layout of a plant directly impacts its processing times. For a plant, it is always important to minimize the interdepartmental material movement and maximize space utilization, which is accomplished through Facility layout optimization. By its nature, facility layout optimization problem is NP-complete. In this work, the facility layout of an Indian bus body manufacturer is considered for layout optimization. The existing facility layout was evaluated after which a two-step optimization procedure was applied to minimize interdepartmental movement of both semi-finished busses and other materials by using artificial bee colony algorithm and its variants. The study focused only on relocation of facilities into alternate positions to ensure smooth flow. The results exhibited considerable reduction in the interdepartmental movement of semi-finished busses as well as other materials.
机译:工厂的设施布局直接影响其处理时间。对于工厂而言,最小的部门间物料移动和最大的空间利用率总是很重要的,这可以通过工厂布局优化来实现。从本质上讲,设施布局优化问题是NP完全的。在这项工作中,考虑了印度巴士车身制造商的设施布局,以进行布局优化。对现有设施的布局进行了评估,然后使用人工蜂群算法及其变体,采用了两步优化程序以最小化半成品客车和其他物料的部门间移动。该研究仅侧重于将设施搬迁到其他位置以确保顺畅流动。结果表明,半成品客车以及其他材料的部门间运动显着减少。

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