摘要
为了合理分配集装箱堆场出口箱箱位,考虑出口箱进场时间的随机性以及出口箱重量的不确定性,以取箱装船过程中尽量避免翻箱操作、最小化存储成本、使各堆栈中箱子数均衡为目标建立堆场出口箱箱位分配的多目标优化模型.应用MATLAB软件中YALMIP工具箱编程求解.针对此模型,设计3组实验,分析贝位中已占用箱位数对箱位分配的影响,以及各堆栈中箱子数均衡与存储成本之间的关系.结果表明该模型能够从总体上实现对出口箱箱位分配的优化并能尽量避免取箱装船过程出现翻箱操作.
In order to allocate the outbound containers in the yard reasonably,considering the randomness of export containers′time of arrival at yard and uncertainty of export containers′weight,a multi-objective optimization model is proposed.The model takes avoiding rehandling the containers,minimizing storage cost and making the number of each stack balance as goals.YALMIP toolbox in MATLAB software is used to solve this problem.For this model,three experiments are designed to analyze the relationship between the occupied slots and storage space allocation,as well as the number of each stack and storage cost.And the experimental results show that the model can achieve the goal to optimize the storage space allocation and avoid rehandling.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2015年第6期589-596,共8页
Journal of Dalian University of Technology
基金
国家自然科学基金青年基金资助项目(71101088)
国家自然科学基金资助项目(71471109)
上海市曙光计划资助项目(13SG48)
上海市教委科研创新资助项目(14YZ100)
交通部应用基础研究资助项目(2015329810260)
教育部高等学校博士学科点专项科研基金资助项目(20113121120002)
关键词
出口箱
堆场箱位
多目标混合整数规划
均衡优化
outbound container
container storage location in yard
multi-objective mixed-integer programming
equilibrium optimization