Optimization of Logistics Network Configuration for Fresh Agricultural Products

School of Transportation Management, Dalian Maritime University, Dalian, 116026, China Jiyingfeng@lnmsa.gov.cn, hlyang@dlmu.edu.cn, z6a@163.com Abstract. In order to optimize the logistics networks configuration of fresh agricultural products, the minimum cost related to the process, in which goods are delivered from original points, pre-cooling station, distribution center to demand points, was taken as the object function. By collecting the empirical decay index, and considering the time-sensitive features of fresh agricultural products, this paper established a nonlinear programming model and designed its corresponding algorithm. A case study was conducted based on genetic algorithm and the result shows validity of the model and effectiveness of its algorithm.