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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:使用人造蜂菌落算法及其变体的印度公交车身制造工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。对于植物来说,最大限度地减少交互式材料运动并最大限度地利用空间利用率,这始终是通过设施布局优化完成的。通过其性质,设施布局优化问题是NP-Complete。在这项工作中,印度公共汽车体制造商的设施布局被认为是布局优化。评估现有的设施布局,之后应用了两步优化过程,以通过使用人造蜂菌落算法及其变体最小化半成品总线和其他材料的间歇门移动。该研究仅集中在设施的迁移到交替位置,以确保流动平滑。结果表现出半成品公共汽车的间歇性运动和其他材料的相当大降低。

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