Analysis of A Fresh Food E-commerce Enterprise’s Terminal Distribution Network Site Selection

Abstract

In view of the current prosperity of China’s fresh market transactions, fresh e-commerce enterprises in the end of the construction of the logistics network of the pain point problem, this study of fresh e-commerce in the “last mile” distribution of site planning issues. This paper focuses on a fresh food ecommerce enterprise’s end distribution network and explores the key influencing factors in fresh food product distribution from three dimensions: timeliness, economy and service quality. And then establishes a mathematical model for selecting community stores for end distribution of fresh food e-commerce enterprises with the objectives of minimizing input costs and maximizing customer satisfaction. The model takes into account the costs of building and operating community stores and the transportation costs of distribution. In the model introduces three types of penalty costs due to site selection variability and transforms the model from a dual-objective to a single-objective model. The study takes the example of store location selection in 35 neighborhoods in region B by enterprise A and designs an immune optimization algorithm to solve the model. Based on the results of the algorithm, we verify the rationality and validity of the model, and obtain the optimal solution that ensures customer satisfaction and minimizes all costs.

Keywords

• decision support systems
• empirical studies
• logistics network
• terminal distribution network