Title :
A hybrid approach combining fuzzy consensus-based possibility measure and TOPSIS: Application to the plant selection problem
Author :
Igoulalene, Idris ; Benyoucef, Lyes
Author_Institution :
LSIS, Aix-Marseille Univ., Marseille, France
Abstract :
The current complexity of supply chains (SC) activities requires the need for coordination between supply chains partners to maximize the efficiency. This paper addresses the development of a new hybrid approach for the selection problem. The problem is formulated as a multi-expert multi-criteria (MEMC) decision making problem and solved by combining consensus-based possibility measure with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, a simple example of plant selection problem is presented and the numerical results analyzed.
Keywords :
TOPSIS; fuzzy set theory; supply chain management; MEMC; TOPSIS; fuzzy consensus-based possibility measure; multiexpert multicriteria decision making problem; plant selection problem; supply chain complexity; supply chain partners coordination; Decision making; Equations; Joints; Radio frequency; Supply chain management; Supply chains; Supply chain coordination; consensus; fuzzy TOPSIS; multi-criteria; multi-expert; possibility measure; selection problem;
Conference_Titel :
Advanced Logistics and Transport (ICALT), 2014 International Conference on
Conference_Location :
Hammamet
DOI :
10.1109/ICAdLT.2014.6866326