Research on Optimization of Cold Chain Distribution Path of Fresh Agricultural Products Based on Big Data Technology

Abstract

This paper takes the minimization of the cost of fresh agricultural products cold chain logistics distribution enterprises as the research goal. At the same time, we have comprehensively considered all the costs of vehicle loss, transportation, cargo damage, refrigeration, and delay that occurred during the distribution process. We use the improved ant colony algorithm to solve the model, and the validity of the model is verified by an example. Through an example, the model in the article is compared with the path optimization results of the traditional VRP model with the shortest total mileage as the objective function, so as to provide a reference for the optimization decision of the distribution path of fresh agricultural products vehicles.

Optimization of Cold Chain Path forS company of C city based on Dijkstra's Algorithm

“…By solving it, the optimal cold chain trucking path can be obtained to reduce the distribution cost. pan et al [6] (2022) aims to minimize the cost of fresh produce cold chain logistics and distribution companies, considering all the costs such as vehicle loss, transportation, cargo damage, cold storage, and delay. An improved ant colony algorithm was used to solve the model, and examples were verified to provide a reference for the optimization decision of cold chain logistics and distribution paths.Lu et al错误!未找到引用源。 (2023) defined the intercity carpooling path optimization problem with time window.…”