航空公司貨運聯盟之航網規劃：以模糊合作競局與網路規劃模式求解

Airline Cargo Alliance and Allied Flight Network Analysis using the Fuzzy Cooperative Game and Flight Frequency Programming

在競爭的航空貨運市場，航空貨運聯盟儼已成為重要策略之一。過去相關文獻多為航空客運聯盟研究，航空貨運聯盟研究仍少，且尚無針對航空貨運聯盟方式決策及聯盟航線網路問題探討。本研究考慮一航空公司貨運欲加入一航空貨運聯盟，進行聯盟夥伴、航線與方式之組合決策，並進行航空貨運聯盟航線網路規劃。本研究應用模糊合作競局求解航空貨運聯盟決策問題，選擇最佳聯盟組合決策方案；並建構對應之航空貨運聯盟航線班次規劃模式。透過數值範例分析，探討航空貨運聯盟之聯盟夥伴、航線與聯盟方式組合決策，並進行因應聯盟決策下之最適聯盟航線班次規劃，分析貨運聯盟之航線班次變化，以期提供航空公司選擇貨運聯盟及其航線規劃之參考與決策支援基礎。

Entering airline cargo alliance has become one of the major strategies for air cargo carriers in a competitive environment. The majority of studies on airline alliances were focused on the air passenger alliances. Few studies have examined air cargo alliance practices; nonetheless, no research has been paid to the decision-making problem on selecting allied routes with alliance types and the allied flight network issues for the airline cargo alliances. This study develops a series of models to analyze the airline cargo alliance decision-making and determine allied flight frequencies under air cargo alliances. A fuzzy cooperative game for assessing the combination of airline cargo alliance alternatives was developed. Under the determined airline cargo alliance condition, the integrated allied cargo flight network programming model was developed, while mutually considering overall profitability, traffic gains, and cost reduction for the allied network in which they cooperate with their partners. A numerical case study demonstrated the synergy benefits of airline cargo alliances and the feasibility of applying the proposed models. The results of this study explored the effects of airline cargo alliances on allied routes and flight frequencies, and the allied network structure. In addition, it is envisaged that the results of this study may shed light on airline cargo alliance strategies.