Abstract
The selection of the appropriate machine tools for a manufacturing company is one of the important points to achieving high competitiveness in the market. Besides, an appropriate choice of machine tools is very important as it helps to realize full production quickly. Today’s market offers many more choices for machine tool alternatives. There are also many factors one should consider as part of the appropriate machine tool selection process, including productivity, flexibility, compatibility, safety, cost, etc. Consequently evaluation procedures involve several objectives and it is often necessary to compromise among possibly conflicting tangible and intangible factors. For these reasons, multiple criteria decision making (MCDM) has been found to be a useful approach to solve this kind of problem. Most of the MCDM models are basically mathematical and ignore qualitative and often subjective considerations. The use of fuzzy set theory allows incorporating qualitative and partially known information into the decision model. This paper describes a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) based methodology for evaluation and selection of vertical CNC machining centers for a manufacturing company in Istanbul, Turkey. The criteria weights are calculated by using the fuzzy AHP (analytical hierarchy process).
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Arslan, M.C., Catay, B., Budak, E.: A decision support system for machine tool selection. Journal of Manufacturing Technology Management, 15, 101–109 (2004)
Atmani, A., Lashkari, R.S.: A model of machine tool selection and operation allocation in flexible manufacturing systems. International Journal of Production Research, 36, 1339–1349 (1998)
Ayag, Z.: A hybrid approach to machine tool selection through AHP and simulation. International Journal of Production Research, 45(9), 2029–2050 (2007)
Ayag, Z., Ozdemir, R.G.: A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17, 179–190 (2006)
Bozbura, F.T., Beskese, A., Kahraman, C.: Prioritization of human capital measurement indicators using fuzzy AHP. Expert Systems with Applications, 32, 1100–1112 (2007)
Bozdag, C.E., Kahraman, C., Ruan, D.: Fuzzy group decision making for selection among computer integrated manufacturing systems. Computers in Industry, 51(1), 13–29 (2003)
Buckley, J.J.: Fuzzy hierarchical analysis. Fuzzy sets and Systems, 17, 233–247 (1985)
Chan, F.T.S., Swarnkar, R.: Ant colony optimization approach to a fuzzy goal programming model for a machine tool selection and operation allocation problem in an FMS. Robotics and Computer-Integrated Manufacturing, 22, 353–362 (2006)
Chang, D.-Y.: Extent analysis and synthetic decision. Optimization Techniques and Applications, 1, 352–355 (1992)
Chen, C.T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9 (2000)
Chen, C.-T., Lin, C.-T., Huang, S.-F.: A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289–301 (2006)
Kahraman, C., Ruan, D., Doğan, İ: Fuzzy group decision making for facility location selection. Information Sciences, 157, 135–153 (2003)
Kahraman, C., Cebeci, U., Ruan, D.: Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87, 171–184 (2004)
Kaufmann, A., Gupta, M.M.: Introduction to fuzzy arithmetic: Theory and applications. Van Nostrand Reinhold, New York (1991)
Lin, Z.C., Yang, C.B.: Evaluation of machine selection by the AHP method. Journal of Materials Processing Technology, 57, 253–258 (1994)
Mishra, S., Prakash Tiwari, M.K., Lashkari, R.S.: A fuzzy goal-programming model of machine tool selection and operation allocation problem in FMS: A quick converging simulated annealing-based approach. International Journal of Production Research, 44(1), 43–76 (2006)
Tabucanon, M.T., Batanov, D.N., Verma, D.K.: Intelligent Decision Support System (DSS) for the selection process of alternative machines for Flexible Manufacturing Systems (FMS). Computers in Industry, 25, 131–143 (1994)
Wang, T.Y., Shaw, C.F., Chen, Y.L.: Machine selection in flexible manufacturing cell: A fuzzy multiple attribute decision-making approach. International Journal of Production Research, 38, 2079–2097 (2000)
Yang, T., Hung, C.-C.: Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23(1), 126–137 (2007)
Yurdakul, M.: AHP as a strategic decision-making tool to justify machine tool selection. Journal of Materials Processing Technology, 146, 365–376 (2004)
Zadeh, L.A.: Fuzzy sets. Information and Control, 8, 338–353 (1965)
Zimmermann, H.J.: Fuzzy set theory and its applications, 2nd edn. Kluwer Academic Publishers, London (1991)
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Önüt, S., Soner Kara, S. & Efendigil, T. A hybrid fuzzy MCDM approach to machine tool selection. J Intell Manuf 19, 443–453 (2008). https://doi.org/10.1007/s10845-008-0095-3
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DOI: https://doi.org/10.1007/s10845-008-0095-3