Short-term booking of air cargo space
Short-term booking of air cargo space
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DOI：
10.1016/j.ejor.2005.05.011
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发表时间：
2006-11-01
影响因子：
6.4
通讯作者：
Leong, Chun-How
中科院分区：
文献类型：
--
作者：
Chew, Ek-Peng;Huang, Huei-Chuen;Leong, Chun-How
本文提出了一种用于航空货舱短期容量规划模型的随机动态规划模型。长期货舱通常由货运代理或托运人根据合同提前数月获得，并且预测的需求通常不可靠。当日期临近航班起飞时间时，需要重新规划货位。因此，对于给定数量的长期合同舱位，每个阶段的决策是下一阶段所需的额外舱位数量，决策规划模型根据积压装运成本与获取额外舱位成本之间的经济权衡来评估最优成本政策。在某些条件下，我们表明回报函数相对于给定状态获得的额外空间是凸函数，并且剩余阶段的最佳预期成本是相对于状态变量的递增凸函数。这两个属性可以递归地向后推导，因此可以有效地确定最优成本策略。 (c) 2005 Elsevier B.V. 保留所有权利。
This paper proposes a stochastic dynamic programming model for a short-term capacity planning model for air cargo space. Long-term cargo space is usually acquired by freight forwarders or shippers many months ahead on a contract basis, and usually the forecasted demand is unreliable. A re-planning of cargo space is needed when the date draws nearer to the flight departure time. Hence, for a given amount of long-term contract space, the decision for each stage is the quantity of additional space required for the next stage and the decision planning model evaluates the optimal cost policy based on the economic trade-off between the cost of backlogged shipment and the cost of acquiring additional cargo space. Under certain conditions, we show that the return function is convex with respect to the additional space acquired for a given state and the optimal expected cost for the remaining stages is an increasing convex function with respect to the state variables. These two properties can be carried backward recursively and therefore the optimal cost policy can be determined efficiently. (c) 2005 Elsevier B.V. All rights reserved.