DocumentCode
2225898
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
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
964
Lastpage
968
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEEM.2008.4738013
Filename
4738013
Link To Document