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     Advance Journal of Food Science and Technology


Research on Logistics Capability of the Supply Chain in Food Production Enterprise Based on AHP and Fuzzy Entropy

1Xianming Liu, 2Shujie Yun, 1Yazhou Xiong, 1Jingfu Chen and 1Jingyuan Xing
1School of Economics and Management, Hubei Polytechnic University Huangshi 435003, China
2Department of Basic, Henan Mechanical and Electrical Engineering College, Xinxiang 453000, China
Advance Journal of Food Science and Technology  2013  11:1531-1535
http://dx.doi.org/10.19026/ajfst.5.3380  |  © The Author(s) 2013
Received: August 08, 2013  |  Accepted: August 24, 2013  |  Published: November 05, 2013

Abstract

As the third profit source, logistics plays an extremely important role to reduce costs, improve efficiency and enhance the enterprise market competitiveness. This study describes the logistics capability of the supply chain in food production enterprise. The logistics capability is summarized as the ability to control the logistics cost, the ability of logistics service, the ability of logistics elements and the ability of logistics organization and management. Through the analysis of logistics capability of the supply chain in food production enterprise, this study establishes an evaluation system of logistics capability of the supply chain from the above four aspects. The Analytic Hierarchy Process (AHP) is used to determine weights of the subspace dimension indicators and the membership function in fuzzy theory is used to determine the indicators of the level of the matrix. Combined with the theory of entropy, integrated weight of logistics capability of the supply chain of the matrix can be determined and quantified indicators will be achieved as an evaluation criterion. Finally, the indicator system and evaluation method are integrated to analyze the logistics capabilities of the supply chain in food production enterprise via a case study, which proves to be valid.

Keywords:

Analytic Hierarchy Process (AHP), fuzzy entropy, logistics capability,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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