Supply chain planning under uncertainty: a fuzzy linear programming approach

Author

Peidro, David ; Mula, Josefa ; Poler, Raul

Author_Institution

Valencia Polytech. Univ., Valencia

fYear

2007

fDate

23-26 July 2007

Firstpage

1

Lastpage

6

Abstract

A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers in the setting of possibility theory. The fuzzy model provides alternative decision plans to the decision maker (DM) for different grades of possibility. Finally, the proposed model is tested by using data from a real automobile supply chain.

Keywords

decision making; fuzzy set theory; linear programming; supply chain management; demand uncertainty; fuzzy linear programming approach; fuzzy mathematical programming model; possibility theory; supply chain planning; triangular fuzzy numbers; Delta modulation; Fuzzy set theory; Linear programming; Mathematical model; Mathematical programming; Mixed integer linear programming; Possibility theory; Process planning; Supply chains; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International

Conference_Location

London

ISSN

1098-7584

Print_ISBN

1-4244-1209-9

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2007.4295528

Filename

4295528