全球航空業每年都持續成長，然而航空運輸需求已超過可用的容量，造成乘客、航空公司和機場遭受延誤和經濟損失。為了恢復時間帶與可用容量之間的平衡，許多繁忙的機場採用需求管理方法。目前，實務上主要使用的需求管理機制是由國際航空運輸協會(IATA)所訂定之機場時間帶協調國際規則(WASG)。而本研究從民航主管機關的角度出發，運用最佳化技巧，進行航空班表一季的時間帶分配規劃。 本研究針對臺灣北部的兩個機場進行短期營運考量，從民航主管機關的角度將現有資源有效運用，在考量WASG優先級與機場容量限制的情況下，利用數學規劃方式，以最小化時間帶請求變動為目標，建立了一個聯合兩機場之時間帶分配模型。透過使用C++程式語言和數學規劃軟體CPLEX求得最佳解。 最後，本研究以臺灣北部兩個機場的初始時間帶請求進行範例模擬測試，並調整不同參數進行敏感度分析，以評估該模型的實用性。結果顯示，該模型在實務應用中具有有效性，可供民航主管機關參考，以便未來進行時間帶分配規劃。;The global aviation industry continues to grow every year; however, the demand for air transportation has exceeded the available capacity, leading to delays and economic losses for passengers, airlines, and airports. To restore balance between time slots and available capacity, many busy airports adopt demand management methods. Currently, the main demand management mechanism used in practice is the Worldwide Airport Slot Guidelines (WASG) established by the International Air Transport Association (IATA). This study approaches the problem from the perspective of civil aviation authorities and employs optimization techniques to plan the time slot allocation for a season of airline schedules. This study focuses on the short-term operational considerations of two airports in northern Taiwan. From the perspective of civil aviation authorities, the existing resources are utilized effectively. Taking into account the priorities set by the Worldwide Airport Slot Guidelines (WASG) and considering the limitations of airport capacity, a mathematical programming approach is used to establish a time slot allocation model that integrates the two airports. The objective of the model is to minimize changes in time slot requests. The model is implemented using the C++ programming language and the mathematical programming software CPLEX to obtain the optimal solution. Finally, the study conducts example simulations and sensitivity analyses by adjusting different parameters using the initial time slot requests of the two airports in northern Taiwan. These evaluations assess the practicality of the model. The results demonstrate the effectiveness of the model in practical applications and provide guidance for civil aviation authorities in future time slot allocation planning.
