[1]Cui Yan,Zhang Zixiang,Shi Xin Wang Xiaoliang,et al.Fresh Agricultural E-commerce Product Routing Problem Considering Equally Desirable of Customer[J].Journal of Zhengzhou University (Engineering Science),2017,38(06):59-63.[doi:10.13705/j.issn.1671-6833.2017.06.008]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
38卷
Number of periods:
2017 06
Page number:
59-63
Column:
Public date:
2017-11-20
- Title:
-
Fresh Agricultural E-commerce Product Routing Problem Considering Equally Desirable of Customer
- Author(s):
-
Cui Yan; Zhang Zixiang; Shi Xin Wang Xiaoliang; Wang Zhenfeng
-
College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan 450002
-
- Keywords:
-
- CLC:
-
-
- DOI:
-
10.13705/j.issn.1671-6833.2017.06.008
- Abstract:
-
This paper aims to explore fresh agricultural product E-commerce routing problem under uncertain environment. Considering the characteristic of the bounded rational of customer decision, fresh agricultural E-commerce routing optimization model was established based on Cumulative Prospect Theory (CPT). According to the characteristics of fresh agricultural E-commerce supplier for fresh features, The model took the minimum cargo damage costs, transportation costs and the penalty costs as objective, the agents point demand, goods loading and times window of logistic services about customer requirements as constraints. An improved Particle Swarm Optimization algorithm was used to solve there parts of model respectively, reference examples. Simulation and test results showed that, the model based on CPT met customer requirements on time window more accurately and improved customer satisfaction.This studycould provide theoretical support for the fresh E-commerce suppliers to optimize the distribution path.