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

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Knowledge and Systems Sciences (KSS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 660))

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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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Authors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Sirin Suprasongsin & Van Nam Huynh

  2. Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand

    Pisal Yenradee

Authors
  1. Sirin Suprasongsin
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  2. Van Nam Huynh
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  3. Pisal Yenradee
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Corresponding author

Correspondence to Sirin Suprasongsin .

Editor information

Editors and Affiliations

  1. Tsinghua University , Beijing, China

    Jian Chen

  2. School of Knowledge Science, JAIST School of Knowledge Science, Nomi, Ishikawa, Japan

    Yoshiteru Nakamori

  3. Dept. Info Sci &, Fac. Sci & Engg, Konan University Dept. Info Sci &, Fac. Sci & Engg, Higashinada-ku, Kobe, Japan

    Wuyi Yue

  4. Chinese Academy of Sciences , Beijing, China

    Xijin Tang

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Suprasongsin, S., Huynh, V.N., Yenradee, P. (2016). Optimization of Supplier Selection and Order Allocation Under Fuzzy Demand in Fuzzy Lead Time. In: Chen, J., Nakamori, Y., Yue, W., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2016. Communications in Computer and Information Science, vol 660. Springer, Singapore. https://doi.org/10.1007/978-981-10-2857-1_16

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

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2856-4

  • Online ISBN: 978-981-10-2857-1

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