Under the situations of distribution center and customer demand, a mathematical model of Vehicle Routing Problem with Time Windows(VRPTW) is set up, where the main factors of less total distance of vehicles driving and less delayed time of vehicles are considered. For the "premature" convergence in Genetic Algorithms, Simulated Annealing Algorithm is introduced, and GSA is designed to optimize and analyse the VRPTW examples. It is shown that the performance of GSA is better than Genetic Annealing(GA).

This paper establishes a combination forecasting model based on Radia Basis Function Neural Network (RBFNN). It puts forward a seeking optimum parameters method by searching optimal solution for two-dimensional space (goal, spread) in a certain range, and realizes the combination forecasting of logistics demand, and improves the stability of network and the precision of prediction in RBFNN. An instance is presented to realize the model by MATLAB. The results showed that a good fitting precision and a high forecasting precision are reached in the application of the logistics demand forecasting by the designed forecasting model.

In this research we study the demand characteristics and service sensitivity of solar energy water heater products in the whole life cycle, establish the maximum profit model of multi-level inventory system. Adopt the maximum profit model checking the enterprise actual research instance, analysis the relationship of the customer mean demand changes between the optimal service level or the maximum profit, the results show that the maximum profit model can reflect the relationship of the customer mean demand changes between the maximum profit.