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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014 Vol.4(6): 489-492 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.422

The Research on Supplier Selection Model of the Third Party Logistics Based on Grey Clustering

Yewang Zhou
Abstract—Supplier selection of the third party logistics play a very important role in supply chain management, which determine the whole competitive power of supply chain directly, selecting a suitable supplier of the third party logistics become an important component of the modern enterprise strategy. The paper has introduced the index of the third party logistics supplier evaluation at first, then has introduced the existing supplier selection method, point out the disadvantage of different methods, propose supplier selection model of the third party logistics on the basis of gray clustering and multi-objective decision-making with entropy weight, thus get the best supplier. At last set a simple example to explain the validity of the method, which can solve finely the problem of supplier selection of the third party logistics.

Index Terms—Supplier selection, model, grey clustering, entropy weight.

Yewang Zhou is with the School of Business, Huanggang Normal University, Huanggang, 43800, China (e-mail: whuw@sina.com).

[PDF]

Cite: Yewang Zhou, "The Research on Supplier Selection Model of the Third Party Logistics Based on Grey Clustering," International Journal of Modeling and Optimization vol. 4, no. 6, pp. 489-492, 2014.

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