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

Authors: YuXi Zhang

Addresses: School of Economics and Trade, Henan Polytechnic Institute, Nanyang, 473000, China

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%.

Keywords: k-means clustering algorithm; weight vector; analytic hierarchy process; agriculture products; cold chain logistics; service quality assessment.

DOI: 10.1504/IJMTM.2025.144121

International Journal of Manufacturing Technology and Management, 2025 Vol.39 No.1/2, pp.59 - 73

Received: 28 Dec 2022
Accepted: 21 Mar 2023
Published online: 28 Jan 2025 *

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