Eurofuse 2011 pp 221-228 | Cite as

A Model for B2B Supplier Selection

  • G. Campanella
  • R. A. Ribeiro
  • L. R. Varela
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 107)

Abstract

A supply chain is a set of geographically dispersed facilities that store and transform products, and that are connected by a transportation network. The main task of supply chain management is to design the supply chain so that a given set of objectives is achieved, for example by deciding the location and capacity of new production plants, or the location of warehouses. Since suppliers also play a key role in performance maximization, it is natural to integrate them in the supply chain as well [8]. For this reason, selection of potential suppliers has become a fundamental component of supply chain management; this is even more true in the globalized market of today. The problem of supplier selection can be easily understood as a multiple-criteria decision making (MCDM) problem: businesses express their preferences with respect to suppliers, which can then be ranked and selected. Doing so, however, does not take into account the temporal evolution of supplier performances, neither can it be easily applied when considering more than one customer. To overcome these problems, we introduce a model for supplier selection that extends the classic MCDM model by introducing feedback, and consider its application in the context of multiple customers by means of linear programming.

Keywords

Supply Chain Supply Chain Management Supply Selection Supplier Selection Fuzzy Goal Programming 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Campanella, G., Ribeiro, R.A.: A framework for dynamic multiple-criteria decision making. Decision Support Systems (in Press, 2011), doi:10.1016/j.dss.2011.05.003Google Scholar
  2. 2.
    Chan, F.T.S.: Interactive selection model for supplier selection process: an analytical hierarchy process approach. International Journal of Production Research 41(15), 3549–3579 (2004)CrossRefGoogle Scholar
  3. 3.
    Chan, F.T.S., Kumar, N.: Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega 35(4), 417–431 (2007)CrossRefGoogle Scholar
  4. 4.
    Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. European Journal of Operational Research 2(6), 429–444 (1978)MathSciNetMATHCrossRefGoogle Scholar
  5. 5.
    Chen, S.-J., Hwang, C.L., Hwang, F.P.: Fuzzy Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, vol. 375. Springer, Heidelberg (1992)MATHGoogle Scholar
  6. 6.
    Dickson, G.W.: An Analysis of Vendor Selection Systems and Decisions. Journal of Purchasing 2(1), 5–17 (1966)Google Scholar
  7. 7.
    Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research 202(1), 16–24 (2010)MATHCrossRefGoogle Scholar
  8. 8.
    Kumar, M., Vrat, P., Shankar, R.: A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & Industrial Engineering 46(1), 69–85 (2004)CrossRefGoogle Scholar
  9. 9.
    Pais, T.C., Ribeiro, R.A., Devouassoux, Y., Reynaud, S.: Dynamic ranking algorithm for landing site selection. In: Magdalena, L., Ojeda-Aciego, M., Verdegay, J.L. (eds.) Proceedings of IPMU 2008, Málaga, Spain, pp. 608–613 (2008)Google Scholar
  10. 10.
    Saaty, T.L.: Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, 3rd edn. Analytic Hierarchy Process Series, vol. 2, pp. 978–96786. RWS Publications (1999); ISBN 978-0962031786Google Scholar
  11. 11.
    Saaty, T.L.: Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process, 1st edn. Analytic Hierarchy Process Series, vol. 6, pp. 978–96762. RWS Publications (2031); ISBN 978-0962031762Google Scholar
  12. 12.
    Townsend, J.T., Busemeyer, J.: Dynamic representation of decision-making. In: Port, R.F., van Gelder, T. (eds.) Mind as Motion: Explorations in the Dynamics of Cognition, pp. 101–120. MIT Press, Cambridge (1995)Google Scholar
  13. 13.
    Triantaphyllou, E.: Multi-Criteria Decision Making Methods: A Comparative Study. Applied Optimization, vol. 44. Springer, Heidelberg (2000)MATHGoogle Scholar
  14. 14.
    Çebi, F., Bayraktar, D.: An integrated approach for supplier selection. Logistics Information Management 16(6), 395–400 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • G. Campanella
    • 1
  • R. A. Ribeiro
    • 1
  • L. R. Varela
    • 2
  1. 1.UNINOVA–CA3, Campus FCT–UNLCaparicaPortugal
  2. 2.Departamento de Produção e SistemasUniversidade do MinhoPortugal

Personalised recommendations