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Multi-objective Dynamic Layout Problems for Unequal-area Workshop Facilities Based on NSGA-Ⅱ

机译:基于NSGA-Ⅱ的不等面积车间设施多目标动态布局问题

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Workshop facility layout is directly related to the reasonable flow of the logistics and information of the entire production system, which has a great impact on production capacity and safety. For multi-type and batch production systems, it is a critical and complex issue for research and investigation. The production mode of mass customization asks for the dynamic, multi-objective and multi-constraints specifications of the workshop facilities layout problem. In this study, a multi-objective dynamic optimization model is established based on three optimization objectives including the total cost (the materials handling cost and the rearrangement cost), non-logistics strength relationship and the required total area. In order to find Pareto solutions, an adaptive non-dominated sorting multi-objective genetic algorithm is designed for the specific model. Finally, a numerical example is applied to demonstrate that the proposed method is quite effective.
机译:车间设施的布局直接关系到整个生产系统的物流和信息的合理流动,对生产能力和安全性有很大影响。对于多类型和批量生产系统,这是研究和调查的关键且复杂的问题。大规模定制的生产模式要求车间设备布局问题具有动态,多目标和多约束的规范。在本研究中,基于总成本(物料搬运成本和重新布置成本),非物流强度关系和所需总面积这三个优化目标,建立了多目标动态优化模型。为了找到帕累托解,针对特定模型设计了一种自适应非支配排序多目标遗传算法。最后,通过算例验证了该方法的有效性。

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