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共享模式下的集装箱空箱调运优化
引用本文:孙家庆,刘明丽,徐林坤,赵媛.共享模式下的集装箱空箱调运优化[J].上海海事大学学报,2019,40(3):14-20.
作者姓名:孙家庆  刘明丽  徐林坤  赵媛
作者单位:大连海事大学物流研究院
基金项目:国家社会科学基金(19BGJ023);中央高校基本科研业务费专项资金(3132019019)
摘    要:为解决共享模式下的集装箱空箱调运问题,基于航线、船舶运力、运输时间等限制性因素,以多决策期的空箱调运总成本最低为目标,建立集装箱共享系统的不确定需求随机机会约束模型。使用MATLAB,利用模拟退火(simulated annealing, SA)算法与遗传算法(genetic algorithm,GA)结合的混合算法进行数值求解和算例分析,表明模型是有效的,对船公司制订空箱共享、舱位共用策略有参考价值。

关 键 词:空箱调运    资源共享    混合算法
收稿时间:2018/9/13 0:00:00
修稿时间:2019/3/7 0:00:00

Optimization of empty container allocation under shared mode
Sun Jia-qing,Liu Ming-li,Xu Lin-kun and zhao yuan.Optimization of empty container allocation under shared mode[J].Journal of Shanghai Maritime University,2019,40(3):14-20.
Authors:Sun Jia-qing  Liu Ming-li  Xu Lin-kun and zhao yuan
Institution:Dalian Maritime university,Dalian Maritime university,Dalian Maritime university and Dalian Maritime university
Abstract:In order to solve the problem of empty container allocation under the shared mode, considering the restrictive factors such as route, ship capacity, transportation time and so on, the stochastic opportunity constraint model is established for uncertain demand in the container sharing system, and the objective of the model is to minimize the total cost in multiple decision periods. By MATLAB, the hybrid algorithm of the genetic algorithm (GA) and simulated annealing (SA) algorithm is used for numerical solution and case analysis to verify the validity of the model. It has reference value for shipping companies to formulate empty container sharing and space sharing strategy.
Keywords:empty container allocation  resource sharing  hybrid algorithm
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