Productivity and Efficiency Measurement of Airlines
Data Envelopment Analysis using R
- 1 Edición - 24 de febrero de 2023
- Última edición
- Autor: Boon L. Lee
- Idioma: Inglés
In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data En… Leer más
Descripción
Descripción
In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R identifies and explains sources of airline efficiency and helps achieve these goals through the use of state-of-the-art measurement techniques.
Each chapter measures airline performance through the data envelopment analysis (DEA) model and other DEA variants. This book thoroughly discusses topics such as cost and revenue efficiency performance, carbon emissions performance management, and complex airline data analysis, employing appropriate models for each. Model methodologies are also discussed. The in-depth coverage is useful for all audiences, including students with a basic understanding of models, researchers and airline operators and management.
Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R provides R codes to help readers generate results and quantify efficient practices. These results provide airline decision-makers with the essential information they need to create better policies and avoid underperforming practices.
Puntos claves
Puntos claves
- Thoroughly summarizes key DEA measurement models for productivity and efficiency of
airlines - Guides users in generating airline performance results using DEA model and its variants
- Features R codes useful for generating empirical results, and best practices, promoting quality
policy and management decisions
De interès para
De interès para
Índice
Índice
2. LITERATURE ON DATA ENVELOPMENT ANALYSIS AND AIRLINE PERFORMANCE
3. MEASURING AIRLINE PERFORMANCE: STANDARD DEA
4. MEASURING AIRLINE PRODUCTIVITY CHANGE
5. DEA VARIANTS IN MEASURING AIRLINE PERFORMANCE
6. MEASURING AIRLINE PERFORMANCE: INCORPORATING BAD OUTPUTS
7. NETWORK DEA TO MEASURE AIRLINE PERFORMANCE
8. SOURCES OF AIRLINE PERFORMANCE
9. CONCLUSION
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 2 de marzo de 2023
- Idioma: Inglés
Sobre el autor
Sobre el autor
BL