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Service quality evaluation of agricultural cold chain logistics supply chain based on k-means clustering algorithm

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  • YuXi Zhang

Abstract

In order to improve the reliability of the cold chain logistics supply chain and shorten the response time of the supply chain, a quality evaluation method of agricultural cold chain logistics supply chain based on k-means clustering algorithm was proposed. Firstly, build the quality evaluation system of agricultural cold chain logistics supply chain. Secondly, the root method is selected to check the consistency of the judgment matrix, and the weight vector of the logistics supply chain quality evaluation is calculated. Finally, the k-means clustering algorithm is used to evaluate the supply chain service quality. The experimental results show that the supply chain quality reliability of this method is 0.98, and the service response time is only six minutes; the service satisfaction rate can reach 99.6%.

Suggested Citation

  • YuXi Zhang, 2025. "Service quality evaluation of agricultural cold chain logistics supply chain based on k-means clustering algorithm," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 39(1/2), pages 59-73.
    • Handle: RePEc:ids:ijmtma:v:39:y:2025:i:1/2:p:59-73
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