Optimization of multi-objective fresh food e-commerce delivery route with fuzzy time window

In order to optimize the B2C fresh food delivery process of "home" mode of merchant self-operated delivery, this paper takes the highest customer satisfaction and minimum total cost as the goal, and considers the characteristics of instant logistics fresh food delivery and the real-time order in the condition of the delivery orders arrive in real time. A multiobjective vehicle routing optimization model with fuzzy time window for instant logistics fresh food delivery was constructed. According to the idea of single-order distribution, an improved ant colony algorithm based on rolling timedomain delayed distribution was designed to solve the problem, and the optimal combination of distribution cost and customer satisfaction was obtained.