基于多资源视角的柔性任务集装箱接驳（Drayage）运输的调度方法研究

项目名称： 基于多资源视角的柔性任务集装箱接驳（Drayage）运输的调度方法研究

项目编号： No.71471034

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 张瑞友

作者单位： 东北大学

项目金额： 56万元

中文摘要： 接驳（Drayage）运输是集装箱运输的重要环节。该环节具有多资源属性，是交运延期的主要根源，而且其运输成本在全运输过程中占有重要的比例。本项目基于多资源的视角对柔性任务集装箱接驳运输中的调运等问题进行探索性研究：首先设计柔性任务集装箱接驳运输中的最优资源组织模式；进而研究给定资源组织模式下可折叠箱接驳运输中的调运模型与优化算法；研究兼顾直接运输成本和碳排放成本的混合集装箱类型多车型接驳调运问题的数学模型，基于NSGA-II等进化计算思想设计这些多目标模型的高效求解算法；建立空气重污染日限时段、限区域、限车辆通行情形下集装箱接驳运输的车辆调度与路径规划策略；最终设计并开发一套多资源类型柔性任务集装箱接驳运输决策支持原型系统。本项目可以揭示集装箱接驳运输中的客观管理学规律，丰富绿色货运等理论，为相关复杂的建模与优化技术提供借鉴；又可降低碳排放等环境成本，兼有重要的理论意义与应用价值。

中文关键词： 货物运输；数学模型；优化算法；物流工程；雾霾

英文摘要： Drayage is an important section of container transportation. This section of transportation has an attribute of multiple resources and is the main sources of shipment delays. The container drayage transportation accounts for a significant portion of the whole transportation. Therefore, this project investigates the issues including schedules in container drayage transportation with flexible orders from the perspective of multiple resources. First, we design the optimum resource operating modes in container drayage transportation with flexible orders. Then, we mathematically model and solve the container drayage transportation problem with foldable containers under the given resource operating mode. The model will be extended to the container drayage problems with mixed container types and multiple types of vehicles minimizing not only the direct operation costs but also the carbon emission costs. Efficient and effective solution algorithms based on evolutionary computing ideas such as NSGA-II will be designed to solve the multi - objective mathematical models mentioned above. Furthermore, we will also present optimum strategies of vehicle scheduling and routing for container drayage transportation under the scenario that only certain vehicles could use certain routes during certain time periods if atmosphere is polluted seriously. Finally, this project will design and develop a primary decision support system for container drayage operation with multiple resource types and flexible orders. These researches could discover several key operational insights in container drayage transportation, enrich the theories of green freight transportation, provide academic references to related complicated modeling and optimizing problems, and decrease environmental costs such as the carbon emission costs. As a result, this project has significant values both theoretically and practically.

英文关键词： Freight transportation;mathematical model;optimization algorithm;logistic engineering;fog-haze