Title :
A decision making approach based on fuzzy regression and fuzzy multiple objective programming for advanced manufacturing technology selection
Author :
Sener, Z. ; Karsak, E.E.
Author_Institution :
Dept. of Ind. Eng., Galatasaray Univ., Istanbul, Turkey
Abstract :
The use of advanced manufacturing technologies provides a great potential for improving manufacturing performance to compete in the global markets. This paper proposes a decision model based on fuzzy linear regression and fuzzy multiple objective programming for advanced manufacturing technology selection. Fuzzy regression is introduced in the model to assess the vagueness of functional relationships among decision variables and to account for inexact data. A flexible manufacturing system selection problem is presented to illustrate the application of the proposed decision methodology.
Keywords :
decision making; flexible manufacturing systems; globalisation; mathematical programming; regression analysis; advanced manufacturing technology selection; decision making approach; decision model; flexible manufacturing system selection problem; fuzzy linear regression; fuzzy multiple objective programming; fuzzy regression; global markets; Data envelopment analysis; Decision making; Economic forecasting; Flexible manufacturing systems; Fuzzy systems; Industrial engineering; Investments; Linear programming; Linear regression; Mathematical model; Flexible manufacturing system selection; fuzzy linear regression; fuzzy multiple objective programming;
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4738013