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A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains

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Neural Information Processing (ICONIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5864))

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Abstract

Due to rapid technological innovation and severe competition, the upstream component price and the downstream product cost in hi-tech industries usually decline significantly with time. In building a pricing supply chain model, some coefficients are generally obtained from experiments and cannot be defined as crisp numbers. Thus, an effective fuzzy pricing supply chain model becomes crucial. This paper establishes a fuzzy bi-level pricing model for buyers and vendors in supply chains. Then, a particle swarm optimization (PSO) based algorithm is developed to solve problems defined by this model. Experiments show that this PSO-based algorithm can solve fuzzy bi-level pricing problems effectively.

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Author information

Authors and Affiliations

  1. Faculty of Engineering & Information Technology, University of Technology, Sydney, PO Box 123, NSW, 2007, Australia

    Ya Gao, Guangquan Zhang & Jie Lu

  2. Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chungli, 32023, Taiwan, ROC

    Hui-Ming Wee

Authors
  1. Ya Gao
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  2. Guangquan Zhang
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  3. Jie Lu
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  4. Hui-Ming Wee
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

    Chi Sing Leung

  2. School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, 702-701, Taegu, Korea

    Minho Lee

  3. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Jonathan H. Chan

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© 2009 Springer-Verlag Berlin Heidelberg

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Gao, Y., Zhang, G., Lu, J., Wee, HM. (2009). A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_25

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  • DOI: https://doi.org/10.1007/978-3-642-10684-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10682-8

  • Online ISBN: 978-3-642-10684-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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