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Design of robust layout for Dynamic Plant Layout Problems

机译:动态工厂布局问题的鲁棒布局设计

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摘要

In this paper, a design for robust facility layout is proposed under the dynamic demand environment. The general strategy for a multi period layout planning problem is adaptive approach. This approach for Dynamic Plant Layout Problem (DPLP) assumes that a layout will accommodate changes from time to time with low rearrangement and production interruption costs, and that the machines can be easily relocated. On the other hand the robust layout approach, assumes that rearrangement and production interruption costs are too high and hence, tries to minimize the total material handling costs in all periods using a single layout. Robust approach suggests a single layout for multiple scenarios as well as for multiple periods. As a solution procedure for the proposed model, a Simulated Annealing (SA) algorithm is suggested, which perform well for the problems from literature and QAPLIB website. The application of suggested model for robust layout to cellular layouts has given better results compared to the robust cellular layout model of literature. For the standard DPLP of the literature, the solution values of the suggested model are very near to the results of adaptive approach. The Total Penalty Cost (TPC) is used to test the suitability of the suggested layout to be a robust layout for the given data set. TPC values indicate that the suggested layout is suitable as robust layout for the given data sets.
机译:本文提出了一种在动态需求环境下的鲁棒设施布局设计。多周期布局规划问题的一般策略是自适应方法。这种用于动态工厂布局问题(DPLP)的方法假定布局可以不时地进行更改,而重新布置和生产中断的成本较低,并且可以轻松地重新安置机器。另一方面,健壮的布局方法假设重新安排和生产中断成本太高,因此,尝试使用单个布局在所有期间将总物料搬运成本降至最低。稳健的方法建议针对多个场景以及多个时期采用单一布局。作为所提出模型的求解过程,提出了一种模拟退火算法(SA),该算法对于文献和QAPLIB网站上的问题都表现良好。与文献中的鲁棒性细胞布局模型相比,将鲁棒性布局的建议模型应用于单元格布局具有更好的结果。对于文献的标准DPLP,建议模型的解值非常接近自适应方法的结果。总罚款成本(TPC)用于测试建议布局的适用性,以使其成为给定数据集的稳健布局。 TPC值表明,建议的布局适合作为给定数据集的稳健布局。

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