匹配(统计)
理论(学习稳定性)
计算机科学
收入
数学优化
偏爱
阻塞(统计)
利润(经济学)
数学
计算机网络
机器学习
业务
经济
微观经济学
统计
会计
作者
Hanfei Wang,Min Huang,Hanbin Kuang
标识
DOI:10.1109/ccdc52312.2021.9601388
摘要
This paper proposes an effective solution to the problem of one-to-one vehicle cargo matching in the fourth party logistics (4PL) platform. Firstly, base on the attributes of multiple vehicles and cargoes, both a preference matrix of cargoes to each vehicle considering vehicle type and a preference matrix of vehicles to each cargo considering profit can be obtained. Based on the preference matrices, a stable matching model is established with the objective of maximizing the platform revenue, among which, stability constraints are designed to avoid blocking pairs of the matching. Then, CPLEX is used to solve the proposed problem. After that, numerical experiments are carried out to demonstrate the performance of the proposed stable matching model by comparing it with the traditional matching model without considering stable constraints in the one-to-one vehicle cargo matching cases with either the quantities of vehicles and cargoes balance or imbalance. The results show that compared with the traditional matching model without stability constraints, the stable matching model can achieve higher revenue and higher stability rate for the platform.
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