Volume 32, Issue 1 (IJIEPR 2021)                   IJIEPR 2021, 32(1): 105-120 | Back to browse issues page

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Zare Banadkouki M R, lotfi M M. Selection of Computer-integrated Manufacturing Technologies Using a Combined Fuzzy Analytic Hierarchy Process and Fuzzy TOPSIS. IJIEPR. 2021; 32 (1) :105-120
URL: http://ijiepr.iust.ac.ir/article-1-1043-en.html
1- Department of Industrial Engineering, Meybod University, Meybod, Iran , mr.zare@gmail.com
2- Department of Industrial Engineering, Yazd University, Yazd, Iran
Abstract:   (436 Views)
In today’s world, manufacturing companies are required to integrate their sources with manufacturing systems and use novel technologies in order to survive in the competitive world market. In this context, computer integrated manufacturing (CIM) and its related technologies are taken as novel and efficient schemes; therefore, selecting the best technology among them has been a challenging issue. Such an investment decision is, in nature, a multi-attribute problem. In fact, manufacturing technologies have various advantages and disadvantages which need to be considered in order to choose the best one. In this paper, we briefly study the structure and goals of computer integrated manufacturing systems, the role of different sectors in traditional and modern manufacturing systems, and the effect of information communication on them. Then, various options regarding the implementation of an integrated computer manufacturing technology are introduced and a  combined model of the fuzzy analytical hierarchy process and fuzzy TOPSIS is proposed to handle the above-mentioned multiple criteria decision making problem. Finally, the considered options for manufacturing technologies are ranked using a numerical example.
Full-Text [PDF 1023 kb]   (135 Downloads)    
Type of Study: Research | Subject: Computer Aided Manufacturing
Received: 2020/04/4 | Accepted: 2020/11/1 | Published: 2020/12/11

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