As the market demand for fresh food and pharmaceutical products grows constantly, the cold chain logistics industry is developing rapidly. An efficient and reasonable distribution network layout is crucial to ensure the quality and safety of merchandise ware, for example, pharmaceutical products. The significance of the cold chain logistics and distribution system is becoming increasingly prominent. A cold chain logistics and distribution site selection system based on a multi-objective optimization model is proposed. A site selection model that integrates multiple factors such as cost, time, environmental impact and service quality is proposed, and the system aims to determine the optimal location of the cold chain logistics facilities by integrating multiple objective functions, such as cost minimization, service coverage maximization, and environmental impact minimization and so on. Adapting Mixed Integer Linear Programming (MILP) to construct the mathematical model and Non-dominated Sorting Genetic Algorithm (NSGA-II) is brought in to solve this complex problem. The system can not only enhance the efficiency of cold chain logistics and distribution with advantage, but also find the optimal or near-optimal solution between multiple conflicting objectives, which can ensure the service quality while effectively reducing the operating costs and carbon emissions, and is incredibly significant for facilitating sustainable development of cold chain logistics.