Supplier selection decisions are typically multi-objectives in nature and it is an important component of production and logistics management for many firms. The present study mainly investigate a multi-objective supplier selection planing problem in fuzzy environment and the uncertain model is converted into deterministic form by the expected value measure (EVM). This paper aims at multi-objective optimization for minimizing cost and maximizing product quality level. For solving the multi-objective problem a weighted sum base genetic algorithm is applied and the best solution is provided using fuzzy simulation. Finally, a numerical example is used to illustrate the effectiveness of the proposed model and solution approach.
CITATION STYLE
Hashim, M., Yao, L., Nadeem, A. H., Nazim, M., & Nazam, M. (2014). Multi-objective optimization model for supplier selection problem in fuzzy environment. In Advances in Intelligent Systems and Computing (Vol. 281, pp. 1201–1213). Springer Verlag. https://doi.org/10.1007/978-3-642-55122-2_104
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