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PMP-Based Optimization Method for Determining Airline Fleet Composition

机译:基于PMP的优化方法来确定航空公司舰队组合物

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Traditional methods for determining airline fleet composition could not reflect the impact of network effects on fleet composition. To solve this problem for airlines operating in the mode of Hub & Spoke network, the passenger mix problem was incorporated into the model of determining airline fleet composition. The purchasing number of aircrafts in each fleet type, the frequencies of each aircraft type flying on legs and the spilling number of passengers from each itinerary were treated as decision variables. The limitations including maximum flying frequencies on each leg, available flying time each fleet type can provide and maximum passengers spilled from each flight leg were considered as constraints. A model to minimize the fleet planning cost was constructed. The numerical example shows that the fleet planning cost derived from this proposed model is 46266381.64 Yuan and reduces by 3914969.70 Yuan compared to the result from the traditional leg-based model. In hence, this proposed model is effective and feasible.
机译:用于确定航空公司车队组成的传统方法无法反映网络影响对舰队组成的影响。为了解决在集线器和辐条网络模式下运行的航空公司的这个问题,乘客混合问题被纳入了确定航空公司舰队组合物的模型。每辆舰队型飞机的购买数量,每种飞机类型飞行腿上的频率和从每个行程的乘客溢出的乘客数被视为决策变量。每条腿上的最大飞行频率的限制,可用的飞行时间每辆舰队类型可以提供和从每个飞行腿溢出的最大乘客被认为是约束。构建了最大限度地减少车队规划成本的模型。数值示例表明,与传统腿部模型的结果相比,源自该拟议模型的舰队规划成本为46266381.64元,减少了3914969.70元。因此,这一提出的模型是有效和可行的。

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