Abstract Nowadays, many airlines tend to provide an advance seat selection service to maximize customer satisfaction to secure market shares in the competitive air transport market. However, the preassigned seat configuration of certain flight legs can be changed often due to aircraft changes for certain reasons, such as maintenance and reservation rates. Then certain customer's seat features, such as row location, position of aisle/window, relative location, and position with the same group member can be different before/after the change, and it can lead to huge customer dissatisfaction. Therefore, an efficient airline seat reallocation algorithm to minimize customer dissatisfaction is introduced in this study, which is based on mathematical model-based optimization with several types of objective functions that reflect customer dissatisfaction levels. A numerical example is performed to validate the developed airline seat reallocation algorithm, and an additional analysis is also executed to derive important insight.
Highlights Seat reallocation algorithm for airlines to prevent service failure is introduced. Rows and position of seats, and the characteristic of customers is considered. Mathematical model to minimize the customer dissatisfaction is developed. Additional analysis with different cases is conducted to improve the actual usage. Practical suggestion to handle the customer dissatisfaction is presented.
An efficient airline seat reallocation algorithm considering customer dissatisfaction
2020-03-05
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Customer Dissatisfaction with TPO Fascias
British Library Conference Proceedings | 2001
|Bumpers don't bump - customer dissatisfaction with TPO bumpers
Tema Archiv | 2001
|