Decision model for advanced manufacturing technology selection using fuzzy regression and fuzzy optimization
IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, 7 - 10 October 2007, pp.2400-2404, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/icsmc.2007.4413979
- City: Montreal
- Country: Canada
- Page Numbers: pp.2400-2404
- Galatasaray University Affiliated: Yes
Abstract
Advanced manufacturing technologies provide a great potential for improving manufacturing performance to compete in the global markets. In this paper, we present a decision model based on fuzzy linear regression with non-symmetric triangular fuzzy coefficients and fuzzy optimization for technology selection. Fuzzy regression is introduced in the model to assess the vagueness of functional relationships among decision variables. Non-symmetric triangular fuzzy coefficients are employed to account for imprecision and vagueness that cannot be modeled properly using symmetric fuzzy coefficients. The proposed decision methodology is illustrated through a flexible manufacturing system selection problem, and the results of the sensitivity analysis are presented.