| Summary: | 碩士 === 國立交通大學 === 管理學院運輸物流學程 === 105 === The past studies of airlines revenue management (RM) mainly focused on the research issues related to demand forecasting and seat inventory control optimization. However, the impact of RM control decision on the final sales has rarely been examined. This study thus then makes use of the real sales of various fare classes to analyze the effect of seat inventory control decision and to explore the correlation between them.
The research has been based on the following steps. First, the actual sales with respect to the high, medium and low fare classes of the economy cabin class on the Taipei-Shanghai route of C airlines have been collected. Second, the sales data for each flight along the time dimension is fitted into the curve represented by the logit function and the values of the parameters are determined. Finally, the cluster analysis is performed with respect to the fit parameters to categorize the sales data.
Based on the results of the analyses, it is found that the sales data or the demand is not only affected by the issue of “Peak Season” or “Low Season.” In addition, “Day of the Week” should also be a key factor for making the seat inventory control decision.
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