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An integrated synthetic value of fuzzy judgments and nonlinear programming methodology for ranking the facility layout patterns

机译:模糊判断和非线性规划方法的综合综合价值,用于对设施布局模式进行排名

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摘要

In this paper, the goal is to incorporate qualitative criteria in addition to quantitative criteria to facility layout design (FLD) problem. To this end, we present an integrated methodology based on the synthetic value of fuzzy judgments and nonlinear programming (SVFJ-NLP). The facility layout patterns (FLPs) together with their performance measures of total cost of material handling are generated by a computer-aided layout-design tool, CRAFT. Also, the performance measures of second quantitative criterion (construction cost of width walls) are calculated by appraising these FLPs. The SVFJ is then applied to collect the performance measures related to qualitative criteria and finally, a non-linear programming (NLP) model is proposed to solve the FLD. Results obtained from a real case study validate the effectiveness of the proposed model.
机译:在本文中,目标是将定性标准和定量标准结合到设施布局设计(FLD)问题中。为此,我们提出了一种基于模糊判断和非线性规划(SVFJ-NLP)综合值的集成方法。通过计算机辅助的布局设计工具CRAFT生成设施布局模式(FLP)及其对物料搬运总成本的性能衡量。此外,通过评估这些FLP,可以计算出第二定量标准(宽度墙的建设成本)的性能指标。然后将SVFJ应用于收集与定性标准相关的性能指标,最后提出了非线性规划(NLP)模型来求解FLD。从真实案例研究中获得的结果验证了所提出模型的有效性。

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