A hybrid approach combining fuzzy consensus-based goal programming and TOPSIS

Author

Igoulalene, Idris ; Benyoucef, Lyes

Author_Institution

LSIS, Aix-Marseille Univ., Marseille, France

fYear

2014

fDate

3-5 Nov. 2014

Abstract

In hotly competitive international industrial and economic environments, supply chain coordination (SCC) is one of active research topics in production and operation management. In this research work, we present a new consensus-based fuzzy goal programming approach for supply chain coordination problem. It is formulated as a multi-criteria group decision making (MCGDM) problem and solved by combining consensus-based goal programming with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, an example of robot selection problem is presented and the numerical results analyzed.

Keywords

TOPSIS; decision making; fuzzy set theory; mathematical programming; supply chain management; MCGDM problem; TOPSIS; consensus-based fuzzy goal programming; multicriteria group decision making; robot selection problem; supply chain coordination; Correlation; Decision making; Programming; Robots; Standards; Supply chains; Supply chain coordination; consensus; decision makers group; fuzzy TOPSIS; goal programming; multi-criteria; problem; selection;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Decision and Information Technologies (CoDIT), 2014 International Conference on

Conference_Location

Metz

Type

conf

DOI

10.1109/CoDIT.2014.6996873

Filename

6996873