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A Novel Approach for Vendor Combination Selection in Supply Chain Management

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

To make full use of inside and outside resources in a competitive globalization market, many manufacturers and service providers are seeking a strategic cooperation with suitable vendors to improve their supply chain management (SCM) so that they can concentrate their efforts on their own core business. In this research, a comprehensive evaluation approach is presented for optimal combination selection among candidate vendors and outsourced parts. An evaluation system with a set of vendor selection indices is established. Also, a hierarchical fuzzy model for vendor selection is developed. And thus, a progressively-simplified approach is presented to deal with the vendor combination selection problem in a supply chain system. Finally, an example is given to illustrate the effectiveness of this approach.

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References

  1. Layek, A.-M., Nathapol, A.: An Analytical Approach for Evaluating and Selecting Vendors with Interdependent Performance in a Supply Chain. International Journal of Integrated Supply Management 1(1), 64–78 (2004)

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  3. Feng, D.Z., Yamashiro, M.: Optimal Production Policy for a Manufacturing System with Volume Flexibility in a Supply Chain under Lumpy Demand. International Journal of Advanced Manufacturing Technology 25, 777–784 (2005)

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  4. Lin, C.R., Chen, H.S.: A Fuzzy Strategic Alliance Selection Framework for Supply Chain Partnering under Limited Evaluation Resources. Computers in Industry 55, 159–179 (2004)

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Author information

Authors and Affiliations

  1. College of Mechatronics Engineering, Zhejiang University of Technology, Hangzhou, 310032, P.R. China

    Ding-zhong Feng & Lei-lei Chen

  2. Dept. of Industrial & Information Systems Engineering, Ashikaga Institute of Technology, Tochigi Prefecture, 326-8558, Japan

    Mitsuo Yamashiro

Authors
  1. Ding-zhong Feng
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  2. Mitsuo Yamashiro
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  3. Lei-lei Chen
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Editor information

Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Feng, Dz., Yamashiro, M., Chen, Ll. (2005). A Novel Approach for Vendor Combination Selection in Supply Chain Management. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_198

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  • DOI: https://doi.org/10.1007/11589990_198

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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