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Optimizing a multiple criteria dynamic layout problem using a simultaneous data envelopment analysis modeling

机译:使用同时数据包络分析模型优化多准则动态布局问题

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The main characteristic of today?s manufacturing environments is volatility. Under such a volatile environment some parameters like demand is not stable. To operate efficiently under such environments, the facilities must be adaptive to change production requirements. From a layout point of view, this situation requires the solution of the dynamic layout problem (DLP). Layout design has a significant impact on the performance of a manufacturing or service industry system. So designing an efficient layout considering different criteria is interesting for researchers. But dynamic layout problems usually are solved just considering cost criterion. This paper is to consider different criteria in addition to cost to suggest an efficient solution for dynamic layout problem. To this purpose, at first we use classic models for DLP to generate a good solution from a cost point of view. Then defining DMU s and their inputs and outputs based on the classic DLP solution, a multi-objective combined DLP -DEA model is proposed and solved using GC method to select some efficient situations for efficient rearrangement of facilities.
机译:当今制造环境的主要特征是波动性。在这种动荡的环境下,诸如需求之类的一些参数不稳定。为了在这样的环境下有效运行,这些设施必须适应变化的生产要求。从布局的角度来看,这种情况需要解决动态布局问题(DLP)。布局设计对制造或服务行业系统的性能有重大影响。因此,考虑不同标准的有效布局设计对于研究人员来说很有趣。但是通常只考虑成本标准就可以解决动态布局问题。本文除了要考虑成本外,还要考虑其他标准,以提出一种有效的动态布局问题解决方案。为此,首先,我们使用经典的DLP模型从成本的角度来生成良好的解决方案。然后,在经典DLP解决方案的基础上定义DMU及其输入和输出,提出了一种多目标DLP -DEA组合模型,并利用GC方法对其进行求解,以选择一些有效的情况来进行设施的有效重排。

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