Title: Empirical study on the algorithms of food cold chain logistics for multi-regional and large-scale athletic sports

Authors: Zixia Chen; Hanrui Lyu; Hanmin Zhu; Jianliang Peng

Addresses: Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, Zhejiang Province, China ' School of Data Science, The Chinese University of Hong Kong, Shenzhen, Guangdong Province, China ' Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, Zhejiang Province, China ' Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou, Zhejiang Province, China

Abstract: Distribution of food for multi-regional distributed large-scale events generally involves the optimisation of multi-input and multi-output logistics system of the secondary distribution network. Based on the location distribution of 43 venues and the layout of 17 front-end warehouses determined by hierarchical clustering analysis algorithm, the innovative 'time-distance saving algorithm', considering the influence of distance and time at the same time, is designed to optimise the design and empirical research on the real delivery lines of the inner-ring and outer-ring from the food cold chain logistics centre to the front-end warehouse. Using the 'OMAP+Autonavi navigation' tool and comprehensively considering the weighting factors of delivery time and delivery mileage, the satisfactory solution of the distribution of multiple actual delivery lines was obtained. The simulation results showed that the total delivery mileage and time savings of the optimised food cold chain logistics network are significantly better than those of traditional saving algorithms.

Keywords: hierarchical clustering analysis algorithm; time-distance saving algorithm; cold chain of food materials; optimisation of delivery route; empirical analysis.

DOI: 10.1504/IJWMC.2022.124824

International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.3/4, pp.328 - 337

Received: 04 Mar 2022
Accepted: 11 Apr 2022
Published online: 09 Aug 2022 *

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