Research on Vendor Selection under Fuzzy Situation

Author

ying, Yu

Author_Institution

Coll. of Econ. & Manage., Southeast Univ., Nanjing

fYear

2008

Firstpage

744

Lastpage

748

Abstract

A multi-product, multi-objective vendor selection model which incorporate fuzzy demand, shortage cost and fuzzy chance constraints, is proposed in this paper. Different weight is assigned to each objective according to the decision-maker´s preference, and the model is converted into a single-objective hybrid integer programming. A genetic algorithm combined with fuzzy simulation technology is provided to find the optimal solutions. Lastly numerical examples are given to demonstrate the validity of the proposed algorithm.

Keywords

fuzzy set theory; genetic algorithms; integer programming; supply chains; decision-maker preference; fuzzy chance constraint; fuzzy demand; fuzzy simulation; genetic algorithm; integrated supply chain model; multiobjective vendor selection model; multiproduct vendor selection model; single-objective hybrid integer programming; Asia; Chromium; Conference management; Costs; Educational institutions; Genetic algorithms; Linear programming; Stochastic processes; Supply chain management; Supply chains; Fuzzy simulation; Integrated supply chain model;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-0-7695-3136-6

Electronic_ISBN

978-0-7695-3136-6

Type

conf

DOI

10.1109/AMS.2008.49

Filename

4530568