Research on Delivery Mode of Fresh E-commerce Under Uncertain Delivery-pickup Time

Due to the characteristics of fresh products, high loss of products and low income have become pain spot in the fresh e-commerce market. Starting from the loss caused by the perishability of fresh e-commerce products, this paper establishes a cross-delivery model of fresh products to solve the above problems. In this post customers and order demand are generated by random simulation under the condition of uncertainty of delivery and pickup time. After that the overall cargo damage and customer satisfaction indicators are calculated by using the customer-order matching serial number. At the end distribution stage, there are two delivery modes named as first-come-first-delivery and n-person group delivery that can be developed in the future. And the optimal delivery mode first-come-first-delivery is obtained through the verification, comparison and analysis of numerical examples. In this mode, the loss rate of products with Weibull distribution and linear distribution of deterioration rate can be reduced by 7.26% and 5.92% compared with the original mode, and the average customer satisfaction rate is increased by 10.59%. This paper discusses the end distribution optimization method of fresh e-commerce, which provides reference value for future research.