Research on intelligent vehicle routing optimization of cold chain logistics in pharmaceutical manufacturing enterprises

The pharmaceutical industry is a vital part of the national economy, and the pharmaceutical cold chain industry is an essential component of China's pharmaceutical market. In recent years, the significance of the pharmaceutical cold chain industry has been increasingly prominent. Pharmaceutical cold chain drug distribution is a key link in an enterprise's overall logistics system. The choice of vehicle routes directly influences an enterprise's service quality and operational performance. Therefore, improving the timeliness and safety of pharmaceutical cold chain drug distribution is the core focus of this paper. This paper considers the measurement of the cargo loss coefficient and the customer satisfaction function, and constructs a pharmaceutical logistics distribution path model with a soft time window, with customer satisfaction as the primary objective and total cost as the secondary one. Finally, this paper uses the simulated annealing algorithm to design a suitable solution process, and analyzes an example to obtain the optimal path results of the open pharmaceutical cold chain distribution model with multiple distribution centers. Meanwhile, by comparing with the closed model with multiple distribution centers and the single - distribution - center closed model, the effectiveness of this model is verified.