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

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.

Key words: cold-chain logistics, vehicle routing problem, stochastic demand, genetic algorithm

CLC Number:

TP391.9

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.

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