An Empirical Study on Optimization of Multipath Cold-Chain Delivery Network

Peng Zhang

doi:10.5281/zenodo.13358817

Authors

Peng Zhang Shandong High Speed Supply Chain（Jinan) Co., Ltd

DOI:

https://doi.org/10.5281/zenodo.13358817

ARK:

https://n2t.net/ark:/40704/JCTAM.v1n3a03

Keywords:

Hierarchical Clustering Analysis Algorithm, Time-distance Saving Algorithm, Cold Chain of Food ingredients, Optimization of Delivery Route, Empirical Analysis

Abstract

Distribution of food ingredients for restaurants generally involves the optimization of multi-input and multi-output logistics system of the secondary distribution network. Based on the location distribution of 6 restaurants and the layout of 3 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 optimize the design and empirical research on the real delivery routes from the food cold chain distribution center to the front-end warehouses. Using “auto navigation" and comprehensively considering the weighting factors of delivery time and delivery distance, the satisfactory solution of the distribution of multiple actual delivery routes was obtained. The results showed that the total delivery distance and time saving of the optimized cold chain delivery network are significantly better than those of traditional saving algorithms.

Author Biography

Peng Zhang, Shandong High Speed Supply Chain（Jinan) Co., Ltd

Shandong High Speed Supply Chain（Jinan) Co., Ltd, Jinan 250000, China.

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