Research On Lgistics Distribution Vehicle Scheduling Optimization Model And Algorithm Based On Customer Satisfaction

The Vehicle Scheduling Problem is a key ring of the logistics distribution optimization problem. It has always been the hot topic in the modern logistics field. Effective vehicle scheduling can not only improve the response speed of the customer demand, improve the service quality but also reduce operational cost of logistics service provider. Traditionally, modeling in VSP is relatively simple, and the previous researches are primarily focused on designing more efficient algorithm which can solve VSPs with larger number of customer dot. This paper combine the modern management idea with optimized model to study and discuss the vehicle scheduling optimization scheme based on the satisfaction of customers.This paper first detailedly introduces the related theory of the vehicle scheduling problem and customer satisfaction, and by analyzing the influencing factors of customer satisfaction, it puts forward function which is used to assess satisfaction of customers. Based on this, an objective optimization model was esTab.lished with minimizing the distribution transportation cost, maximizing the customer satisfaction. In this model, customer value evaluation value is used as weight coefficient selection basis of satisfaction function in model which can help enterprise increase profiTab.ility. As the model is a multi-objective optimization model, To solve the model effectively, the article uses the linear weighting method to transform the multi-objective functions to a single target function, and designs the improved genetic algorithm to solve it. Finally the paper uses an example to verify the validity of the model and algorithm.