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

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• 作者：Ramin Sadeghian ; Mohammad Reza Sadeghian
• 关键词：Flexible manufacturing system (FMS) ; Fuzzy network analysis process (FANP) ; Artificial neural network (ANN) ; Decision support system (DSS)
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：82
• 期：9-12
• 页码：1795-1803
• 全文大小：457 KB
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• 作者单位：Ramin Sadeghian (1)
  Mohammad Reza Sadeghian (1)
  
  1. Department of Industrial Engineering, Payame Noor University, PO BOX 19395–3697, Tehran, Iran
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

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. Keywords Flexible manufacturing system (FMS) Fuzzy network analysis process (FANP) Artificial neural network (ANN) Decision support system (DSS)