航空產業考慮缺席和拒絕服務之?資源分配以及過量預定問題

Abstract

In this study, we investigate two kinds of problem: (P1) a capacity allocation problem considering the space ratio between class 1 seat space and class 2 seat space, and uncertain demand with fixed total capacity to allocate the fixed capacity between two classes for maximizing the total expected revenue; (P2) the overbooking problems considering the customer behavior “no-shows” and uncertain demand with fixed total capacity to decide the booking level for each class for maximizing the total expected revenue. In P1 problem, we propose an optimal capacity allocation rule with decision tree approach and develop the procedure to find the optimal seat numbers for each class. In P2 problem, we derive the optimal overbooking rule with decision tree approach for only consider a single class. Then we extend the proposed approach to two fare classes. We develop solution procedures to find the optimal booking level for single class and two fare classes overbooking problem for maximizing expected total revenue respectively.

In this study, we investigate two kinds of problem: (P1) a capacity allocation problem considering the space ratio between class 1 seat space and class 2 seat space, and uncertain demand with fixed total capacity to allocate the fixed capacity between two classes for maximizing the total expected revenue; (P2) the overbooking problems considering the customer behavior “no-shows” and uncertain demand with fixed total capacity to decide the booking level for each class for maximizing the total expected revenue. In P1 problem, we propose an optimal capacity allocation rule with decision tree approach and develop the procedure to find the optimal seat numbers for each class. In P2 problem, we derive the optimal overbooking rule with decision tree approach for only consider a single class. Then we extend the proposed approach to two fare classes. We develop solution procedures to find the optimal booking level for single class and two fare classes overbooking problem for maximizing expected total revenue respectively.