Title :
Research on Vendor Selection under Fuzzy Situation
Author_Institution :
Coll. of Econ. & Manage., Southeast Univ., Nanjing
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;
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
DOI :
10.1109/AMS.2008.49
