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Optimization of Supplier Selection and Order Allocation Under Fuzzy Demand in Fuzzy Lead Time

  • Sirin SuprasongsinEmail author
  • Van Nam Huynh
  • Pisal Yenradee
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 660)

Abstract

This paper deals with the problem of Supplier Selection and Order Allocation (SSOA) in a fuzzy sense. The demand and delivery lead time are treated as fuzzy numbers. The fuzzy number is first transformed into interval numbers. After doing some arithmetic operations, those fuzzy interval numbers are defuzzified to a crisp quantity. This crisp quantity is further used as an input parameter in the model. Essentially, the main approach in this paper is based on the function principle and the pascal triangular graded mean approach. The SSOA problem is constructed as a Multiple Criteria Decision Making (MCDM) problem aiming to optimize the order quantities placed to many suppliers. The problem is solved by a fuzzy linear programming technique. A numerical example is also given for the illustration of the discussed issues.

Keywords

Function principle Pascal triangular graded mean approach Multiple-objective linear programming Supplier Selection and Order Allocation problem 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  • Sirin Suprasongsin
    • 1
    Email author
  • Van Nam Huynh
    • 1
  • Pisal Yenradee
    • 2
  1. 1.Japan Advanced Institute of Science and TechnologyNomiJapan
  2. 2.Sirindhorn International Institute of TechnologyThammasat UniversityPathumthaniThailand

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