| Summary: | 碩士 === 國立嘉義大學 === 運輸與物流工程研究所 === 92 === A good airline freight network planning will influence the operational costs for an airline company. Since the service network aims in transporting the demand, its efficiency highly depends on the designed demand level. Traditionally, the service network is planned based on a given demand level. However, the demand has obvious seasonal fluctuations in air freight market and the gap between the peak and off-peak seasons is usually significant. The traditional method can only apply in the case where demand fluctuation is small and it cannot guarantee to provide the most efficient network over whole planning horizon. This study addressed the flight service network design problem under seasonal fluctuations in demand by using stochastic programming. The problem is formulated as a two-stage stochastic programming with recourse model.
The proposed model can determine the type of network structure (hub-and-spoke, direct flight, or mixed by both), number of hubs and their locations, paths of flights, and fraction of flow for each path. The model can be written in extensive form which can be solved by the traditional mixed integer problem solution algorithm. Finally, two computational experience with airline freight network differing in the structure used for testing the accuracy and practicability on the model.
|
|---|
