Dynamic Planning Models for Common Carrier Operations

普通承运人业务，包括卡车货运， 卡车运输，铁路和海洋集装箱，正在发挥 在制造和生产中发挥越来越重要的作用 过程 这些运营商，在大多数情况下，被要求 以更低的成本提供更高的服务质量 使用其标准服务的托运人。 这种压力一直 加上最大的规模大幅增加， 运营商，使整体运营复杂化。 一个共同的数学基础的发展，重点是 在预测不确定性下的动态车队管理， 被公式化为具有随机弧容量的网络（表示 市场需求）。 采用了一种新的求解策略， 针对卡车装载随机模型进行了类似的研究 运营 研究的核心是解决 随机的，动态的车队管理问题中出现的模型， 以及随机变量近似方法的发展 解决大型现实问题的程序。 计划在模拟环境中进行广泛的经验测试。

Common carrier operations, including truckload trucking, less- than-truckload trucking, rail and ocean container, are playing increasingly important roles in the manufacturing and production process. These carriers are, for the most part, being asked to provide an even higher quality of service for an even lower cost for shippers using their standard services. This pressure has been combined with a substantial increase in the size of the largest carriers, complicating the overall operation. A common mathematical foundation is developed which focuses on dynamic fleet management under forecasting uncertainties, which is formulated as a network with random arc capacities (representing market demands). A novel solution strategy is used, extending similar research developed for stochastic models of truckload operations. The core of the research is on the solution of stochastic, dynamic models arising in fleet management problems, and the development of approximation methods for stochastic programs that allow the solution of large, real-world problems. Extensive empirical testing in a simulation environment is planned.