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A fuzzy extended analytic network process-based approach for global supplier selection

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Abstract

With increasing globalization, supplier selection has become more and more important than before. In the process of determining the best supplier, the expert judgements might be vague or incomplete due to the inherent uncertainty and imprecision of their perception. In addition to that, the sub-criteria are relevant to each other in the selection of right supplier. In this paper, a novel methodology based on fuzzy set theory and analytic network process (FEANP) is developed to address both the uncertain information involved and the interrelationships among the attributes. This paper concludes with a case study describing the implementation of this model for a real-world supplier selection scenario. We demonstrate the efficiency of the proposed model by comparing with existing method.

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Authors and Affiliations

  1. School of Computer and Information Science, Southwest University, Chongqing, 400715, China

    Xiaoge Zhang & Yong Deng

  2. School of Engineering, Vanderbilt University, Nashville, TN, 37235, USA

    Xiaoge Zhang, Yong Deng & Sankaran Mahadevan

  3. Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hung Hom, Hong Kong

    Felix T. S. Chan

Authors
  1. Xiaoge Zhang
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  2. Yong Deng
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  3. Felix T. S. Chan
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  4. Sankaran Mahadevan
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Corresponding authors

Correspondence to Yong Deng or Sankaran Mahadevan.

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Zhang, X., Deng, Y., Chan, F.T.S. et al. A fuzzy extended analytic network process-based approach for global supplier selection. Appl Intell 43, 760–772 (2015). https://doi.org/10.1007/s10489-015-0664-z

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  • DOI: https://doi.org/10.1007/s10489-015-0664-z

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