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Performance Evaluation of Food Cold Chain Logistics Enterprise Based on the AHP and Entropy

Author

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  • Yazhou Xiong

    (Research Centre of Mining and Metallurgy Culture & Socio-economic Development in the Middle Reaches of the Yangtze River, Hubei Polytechnic University, Huangshi, China)

  • Jie Zhao

    (School of Economics and Management, Hubei Polytechnic University, Huangshi, China)

  • Jie Lan

    (School of Economics and Management, Hubei Polytechnic University, Huangshi, China)

Abstract

This article evaluates the performance of food cold chain logistics enterprises based on the analytic hierarchy process (AHP) and entropy method. Based on the analysis of the present situation, an evaluation system of food cold chain logistics enterprises is established from four aspects, including the financial management, cold chain logistics process, development ability and customer service. The AHP method is used to determine subjective weights, and entropy method is used to get experts' own weights. Finally, a comprehensive index fusion weight is conducted. In addition, the result of an empirical analysis proved to be valid.

Suggested Citation

  • Yazhou Xiong & Jie Zhao & Jie Lan, 2019. "Performance Evaluation of Food Cold Chain Logistics Enterprise Based on the AHP and Entropy," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 12(2), pages 57-67, April.
    • Handle: RePEc:igg:jisscm:v:12:y:2019:i:2:p:57-67
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    Cited by:

    1. Yongzheng Zhang & Chunming Ye & Xiuli Geng, 2022. "A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM," Sustainability, MDPI, vol. 14(16), pages 1-23, August.

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