摘要
研究了不确定条件下集装箱航线资产配置问题.根据集装箱航线运行的基本特点和要求,基于航线均衡运行原理,建立了集装箱航线资产配置确定性模型,优化船舶规模、集装箱配置与舱位分配.通过引入鲁棒优化理论,将此模型拓展为包含不确定因素的鲁棒优化模型,以船舶规模为设计变量,以舱位分配为控制变量建立分析模型.以钟摆型航线为例进行仿真实验,对模型的有效性进行了验证.结果表明,该模型既考虑了需求的不确定性影响,又考虑了解与模型的鲁棒性,并且体现了决策者对风险的厌恶程度,使模型结论更符合实际需要.
Asset deployment in a container line experiencing uncertainty was studied. After considering the characteristics and requirements of a container line, a deterministic model for the problem was developed based on the equilibrium principle. The objective was to optimize ship size, the number of containers, and slot allocation. The deterministic model was expanded to a robust optimization model that considers uncertain factors. Ship size and slot allocation were treated separately as design variables and control variables, when formulating the model. Lastly, effectiveness of the proposed model was demonstrated using the pendulum shipping line as an example.. Results indicate that this optimization model considers demand uncertainty, model robustness and risk preferences of decision makers simultaneously, thus the model agrees well with practice.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2009年第1期101-105,110,共6页
Journal of Harbin Engineering University
关键词
集装箱航线
鲁棒优化
集装箱配置
舱位分配
container shipping line
robust optimization
container deployment
slot allocation