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Selection of Computer-integrated Manufacturing Technologies Using a Combined Fuzzy Analytic Hierarchy Process and Fuzzy TOPSIS
| Content Provider | Directory of Open Access Journals (DOAJ) |
|---|---|
| Author | Mohammad Reza Zare Banadkouki mohammad mahdi lotfi |
| Abstract | 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. |
| Related Links | http://ijiepr.iust.ac.ir/article-1-1043-en.html |
| ISSN | 20084889 |
| e-ISSN | 2345363X |
| Journal | International Journal of Industrial Engineering and Production Research |
| Issue Number | 1 |
| Volume Number | 32 |
| Language | English |
| Publisher | Iran University of Science & Technology |
| Publisher Place | Iran |
| Access Restriction | Open |
| Subject Keyword | Technology Multi-objective Decision Making (modm) Computer-integrated Manufacturing (cim) Fuzzy Analytic Hierarchy Process (fahp) Fuzzy Topsis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Management Science and Operations Research Strategy and Management Statistics, Probability and Uncertainty |