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Supplier Selection Model Based on the Interval Grey Number

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The 19th International Conference on Industrial Engineering and Engineering Management

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Abstract

Supplier selection plays an important role in the management of purchasing. Decision support tools and methodologies can help managers make more effective decisions. Many tools have been developed with a variety of formal modeling techniques, but these techniques are limited for the reason that they are not available when the criteria value are interval grey numbers. There are many reasons for the criteria values should be expressed by the interval grey numbers. This paper proposes a new approach for the supplier selection which is prepared to deal with the interval grey criteria based on the definition of grey circle/radius and distance degree. The interval criteria value and its whitenization weight function (WWF in shorted) make the model more realistic and accurate. Through a numerical case, on both the theoretical and the practical level, it has been proved that this model is correct and feasible.

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Acknowledgments

This research is supported by Beijing Municipal Education Commission (SZ 201010037015) and partly supported by the Researching Platform of Logistics management and Engineering of Beijing Wuzi University.

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Authors and Affiliations

  1. Beijing Modern Logistics Research Center, Beijing Wuzi University, Beijing, People’s Republic of China

    Zhi-yong Zhang & Sheng Wu

Authors
  1. Zhi-yong Zhang
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  2. Sheng Wu
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Corresponding author

Correspondence to Zhi-yong Zhang .

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Editors and Affiliations

  1. Industrial Engineering Institution of CM, 92 Wenjin Road, Nankai District, Tianjin, 300072, China, People's Republic

    Ershi Qi

  2. Industrial Engineering Institution of CM, 92 Wenjin Road, Nankai District, Tianjin, 300072, China, People's Republic

    Jiang Shen

  3. , College of Management and Economics, Tianjin University, 92 Wenjin Road, Tianjin, 300072, China, People's Republic

    Runliang Dou

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Zhang, Zy., Wu, S. (2013). Supplier Selection Model Based on the Interval Grey Number. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38391-5_56

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