Vehicle Routing Optimization Model of Cold Chain Logistics Based on Stochastic Demand

Authors

Xiangguo Ma, 1. Logistics School, Beijing Wuzi University, Beijing 101149, China;;
Tongjuan Liu, 2. School of Information, Beijing Wuzi University, Beijing 101149, China;;
Pingzhe Yang, 3. Graduate School, Beijing Wuzi University, Beijing 101149, China;
Rongfen Jiang, 3. Graduate School, Beijing Wuzi University, Beijing 101149, China;

Abstract

Abstract: The costs of vehicle distribution in the process of cold chain logistics is analyzed and amended; A mathematical model with mixing time window is built to balance the customers' service request with importance level; To minimize the total cost, a mathematical model which uses a factor to make balance between the stability of customer demand fluctuation and the cost increase in the assignment phase is established. Based on MATLAB software, the optical solution is found with adaptive genetic algorithm by taking the background of a distribution center to simulate and analyze.

Recommended Citation

Ma, Xiangguo; Liu, Tongjuan; Yang, Pingzhe; and Jiang, Rongfen (2020) "Vehicle Routing Optimization Model of Cold Chain Logistics Based on Stochastic Demand," Journal of System Simulation: Vol. 28: Iss. 8, Article 17.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss8/17

First Page

1824

Revised Date

2015-12-26

DOI Link

https://doi.org/

Last Page

1833

CLC

TP391.9

Recommended Citation

Ma Xiangguo, Liu Tongjuan, Yang Pingzhe, Jiang Rongfen. Vehicle Routing Optimization Model of Cold Chain Logistics Based on Stochastic Demand[J]. Journal of System Simulation, 2016, 28(8): 1824-1833.