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A decision support system based on artificial neural network and fuzzy analytic network process for selection of machine tools in a flexible manufacturing system

机译:一种基于人工神经网络的决策支持系统,用于柔性制造系统中的机床选择机床的模糊分析网络

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The current article introduces a solution to provide a decision support system (DSS) by combining artificial neural network (ANN) and fuzzy analytic network process (FANP) in order to select the flexible manufacturing system (FMS). In this context, a case study in factory of Tashgaz Company, specialists and MATLAB software are used. Given that today's manufacturing systems are moving toward FMSs, and most of the similar pieces of research have used flexible manufacturing cells and AHP in definite mode, fuzzy numbers were used to compare criteria such as manufacturing rate, manufacturing accuracy, energy consumption, etc. for selecting manufacturing system, and a three-layered ANN was also used to create an expansion motor, and then, FANP was used for systemic selection instead of cell selection. And, the proposed model was implemented in a case study to explain more.
机译:本文介绍了一种通过组合人工神经网络(ANN)和模糊分析网络处理(FANP)来提供决策支持系统(DSS)的解决方案,以便选择柔性制造系统(FMS)。 在这种情况下,使用了在Tashgaz公司的工厂,专家和MATLAB软件的案例研究。 鉴于今天的制造系统朝着FMS移动,大多数类似的研究都使用了灵活的制造单元和AHP在明确的模式下,模糊数用于比较制造速率,制造精度,能耗等的标准进行比较 选择制造系统和三层ANN也用于创建扩展电机,然后,FANP用于系统选择而不是单元选择。 并且,在案例研究中实施了拟议的模型来解释更多。

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