工业工程
工業工程
공업공정
Industrial Engineering Journal
2015年
5期
122-126
,共5页
轮辐式航线网络%舱位控制%遗传算法%等级嵌套
輪輻式航線網絡%艙位控製%遺傳算法%等級嵌套
륜복식항선망락%창위공제%유전산법%등급감투
hub and spoke route network%the seat inventory control%genetic algorithm%nested grade
为使航班舱位控制更贴近旅客实际订座需求,有效提高航空公司收益,基于轮辐式航线网络结构的特点,从航班实际运行的角度出发,同时考虑需求的不确定性以及动态性,建立舱位控制动态优化模型。通过模拟仿真得到各订座阶段旅客随机到达数量,运用遗传算法求得各航班舱位等级的座位保护数,根据票价价值进行等级嵌套。结果表明,该方法与单独使用遗传算法的舱位控制方法相比较,能将总收益提高2.35%,具有一定的参考意义。
為使航班艙位控製更貼近旅客實際訂座需求,有效提高航空公司收益,基于輪輻式航線網絡結構的特點,從航班實際運行的角度齣髮,同時攷慮需求的不確定性以及動態性,建立艙位控製動態優化模型。通過模擬倣真得到各訂座階段旅客隨機到達數量,運用遺傳算法求得各航班艙位等級的座位保護數,根據票價價值進行等級嵌套。結果錶明,該方法與單獨使用遺傳算法的艙位控製方法相比較,能將總收益提高2.35%,具有一定的參攷意義。
위사항반창위공제경첩근여객실제정좌수구,유효제고항공공사수익,기우륜복식항선망락결구적특점,종항반실제운행적각도출발,동시고필수구적불학정성이급동태성,건립창위공제동태우화모형。통과모의방진득도각정좌계단여객수궤도체수량,운용유전산법구득각항반창위등급적좌위보호수,근거표개개치진행등급감투。결과표명,해방법여단독사용유전산법적창위공제방법상비교,능장총수익제고2.35%,구유일정적삼고의의。
To keep the seat inventory control closer to actual passenger reservation demand , and effectively improve airline revenue , a dynamic optimization model of seat inventory control is established based on the characteristics of the hub and spoke route network , from the perspective of practical operation , considering demand uncertainty and dynamics at the same time .The random arrival passenger number of different res-ervation phases is obtained by simulation , the number of seats to protect each flight segment is obtained by using genetic algorithm , and the nested grade is obtained according to the fare value .The running results show that this method can increase the total revenue by 2 .35%compared with the method using genetic al-gorithm only .It has certain reference significance .