Optimization of vehicle routing with time windows for cold chain logistics using OpenSolver

Cold Chain Logistics (CCL) is a critical aspect of supply chain management for industries that handle temperature-sensitive products, especially aquatic products. However, challenges related to transportation cost, cluster infrastructure, and temperature control requirements must be addressed. This study developed a customized CVRPTW model to improve distribution network efficiency and minimize the cost by using OpenSolver. The model was evaluated using real-world data from a Thai cold chain logistics company. The results demonstrated that the model significantly reduced total costs, the number of trucks required, and routing for each truck. These findings highlight the potential of VRP models to optimize cold chain logistics.