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

  • Muhammad Hashim
  • Liming Yao
  • Abid Hussain Nadeem
  • Muhammad Nazim
  • Muhammad Nazam
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 281)

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 

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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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