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Team Knowledge Formation and Evolution Based on Computational Experiment Read chapter Read first chapter

2016 | OriginalPaper | Chapter

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

Authors : Sirin Suprasongsin, Van Nam Huynh, Pisal Yenradee

Published in: Knowledge and Systems Sciences

Publisher: Springer Singapore

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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.

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previous chapter Implementation of the Distributed Fixed-Point Algorithm and Its Application
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Metadata
Title
Optimization of Supplier Selection and Order Allocation Under Fuzzy Demand in Fuzzy Lead Time
Authors
Sirin Suprasongsin
Van Nam Huynh
Pisal Yenradee
Copyright Year
2016
Publisher
Springer Singapore
Book
Knowledge and Systems Sciences

Print ISBN: 978-981-10-2856-4

Electronic ISBN: 978-981-10-2857-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-2857-1_16

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