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A Dynamic Decision Approach for Long-Term Vendor Selection Based on AHP and BSC

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Book cover Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3645))

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Abstract

For solving the dynamic condition problem of vendor selection, the analytic hierarchy process method is modified to a dynamic approach in the period of analytic cycle. The balanced scorecard is used to define the 4 major frameworks of supplier selection including customers, financial, internal business processes, and innovation and learning. The 16 attributes are extended from major frameworks. The main character of proposed method is the scores of attributes and alternatives from the estimation of commander’s trade-off can be changed in time axis under the changeable and conjecturable business environments. In case study, the advantage and limit of the model are illustrated.

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Author information

Authors and Affiliations

  1. Department of Logistics Management, Leader University, 709, Tainan, Taiwan, R.O.C.

    Ziping Chiang

Authors
  1. Ziping Chiang
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Editor information

Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Chiang, Z. (2005). A Dynamic Decision Approach for Long-Term Vendor Selection Based on AHP and BSC. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_27

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  • DOI: https://doi.org/10.1007/11538356_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28227-3

  • Online ISBN: 978-3-540-31907-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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