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A Decision Support System For Supplier Selection Process

Author

Listed:
  • OBOULHAS CONRAD TSAHAT ONESIME

    (Department of Computer Science and Engineering, Harbin Institute of Technology, Foreign Students Building, A13 Room 1303, P. O. Box 773, 92 Xi Dazhi Street, Nangang District, Harbin 150001, China)

  • XIAOFEI XU

    (Department of Computer Science and Engineering, Harbin Institute of Technology, Foreign Students Building, A13 Room 1303, P. O. Box 773, 92 Xi Dazhi Street, Nangang District, Harbin 150001, China)

  • DECHEN ZHAN

    (Department of Computer Science and Engineering, Harbin Institute of Technology, Foreign Students Building, A13 Room 1303, P. O. Box 773, 92 Xi Dazhi Street, Nangang District, Harbin 150001, China)

Abstract

Today's global business environment, characterized by unprecedented competitive pressures and sophisticated customers that demand speedy solution creates a bigger set of potential suppliers to evaluate and to choose from. To deal with the complexities of the supplier selection process, an integration of Quality Function Deployment (QFD), Analytical Hierarchy Process (AHP) and Preemptive Goal Programming (PGP) techniques is proposed. A QFD matrix is used to display the degree of relationship between each pair of requirement for suppliers and supplier evaluating criterion. This paper employs the AHP first to measure the relative importance weighting for each of the requirements in the QFD process. Secondly, it is used to assess the evaluating score for each of the candidate suppliers for each particular supplier-evaluating criterion. PGP is built to deal with some suppliers' constraints such that the total value of purchase (TVP) becomes maximum and the total cost of purchase (TCP) minimum.

Suggested Citation

  • Oboulhas Conrad Tsahat Onesime & Xiaofei Xu & Dechen Zhan, 2004. "A Decision Support System For Supplier Selection Process," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 453-470.
    • Handle: RePEc:wsi:ijitdm:v:03:y:2004:i:03:n:s0219622004001197
    DOI: 10.1142/S0219622004001197
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    Cited by:

    1. Mustafa Batuhan Ayhan, 2018. "A New Decision Making Approach for Supplier Selection: Hesitant Fuzzy Axiomatic Design," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1085-1117, July.

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