Cold Chain Logistics Transportation Management Strategy Based on ABC-ACO Algorithm and Intelligent Digital

Intelligent digital technology has had a huge impact on the modern logistics industry, bringing new vitality to the transportation management of cold chain logistics (CCL). When delivering and transporting CCL products, it is not only important to pay attention to timeliness, but also to pay attention to customer satisfaction. On this basis, a CCL distribution path optimization model based on maximizing and minimizing customer satisfaction should be constructed by combining constraints such as delivery vehicle load and time window. This paper aims to propose a cold chain logistics transportation management strategy based on ABC-ACO algorithm and intelligent digital technology to solve the complex challenges faced in the process of cold chain logistics transportation, and improve the ant colony algorithm by adopting the hierarchical division concept of artificial bee colony algorithm. It limits the pheromone content of each path within a certain range to overcome the defects of ant colony algorithm such as “premature” and “optimization”, and applies it to solve the problem. Cold chain logistics has complex characteristics and links, which need to solve the problems of route planning, temperature control, information tracking and so on. ABC-ACO algorithm combines the advantages of artificial bee colony algorithm (ABC) and ant colony optimization algorithm (ACO), and can be used to solve problems such as cold chain logistics route planning. Intelligent digital technologies, including the Internet of Things, big data analysis and artificial intelligence, can realize real-time monitoring and intelligent decision-making of the cold chain logistics transportation process. This article tested the number of CCL vehicles using the ABC-ACO algorithm through experiments, with a maximum requirement of 6 vehicles. The traditional CCL vehicle requires a maximum of 12 vehicles. From experimental data, it can be seen that the ABC-ACO algorithm has the effect of improving logistics efficiency and reducing transportation vehicles.