The Optimization Model of 4PL Routing Problem for Risk-averse Customer

被引：0
作者：
Wang, Fengxia [1 ]
Huang, Min [1 ]
Wang, Xingwei [2 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, Coll Comp Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年
关键词：
4PL routing optimization; risk-aversion; second-order stochastic dominance; ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the customer's satisfaction of logistics transportation under uncertain environment, this paper studies the 4PL routing optimization problem considering customer risk-aversion behavior. By using the second-order stochastic dominance theory to constrain the optimal route and characterize the customer's risk attitude, to minimize the total cost, a mathematical model considering the risk-aversion behavior of customers is established. The optimization model was solved by CPLEX optimization software. Finally, the effectiveness of the model is verified by simulation experiments. The results show that the model considering customer risk-averse behavior can obtain a route with lower risk than the current route.
引用
收藏
页码：2215 / 2219
页数：5
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