Multi-objective Optimization Model for Supplier Selection Problem in Fuzzy Environment

  • Muhammad Hashim
  • Liming Yao
  • Abid Hussain Nadeem
  • Muhammad Nazim
  • Muhammad Nazam
Conference paper

DOI: 10.1007/978-3-642-55122-2_104

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 281)
Cite this paper as:
Hashim M., Yao L., Nadeem A.H., Nazim M., Nazam M. (2014) Multi-objective Optimization Model for Supplier Selection Problem in Fuzzy Environment. In: Xu J., Cruz-Machado V., Lev B., Nickel S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg

Abstract

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.

Keywords

Multiobjective model Supplier selection Supply chain Fuzzy simulation Genetic algorithm 

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Muhammad Hashim
    • 1
  • Liming Yao
    • 1
  • Abid Hussain Nadeem
    • 1
  • Muhammad Nazim
    • 1
  • Muhammad Nazam
    • 1
  1. 1.Uncertainty Decision-Making LaboratorySichuan UniversityChengduPeople’s Republic of China

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