Managing Airline Networks: Design, Integration and Innovative Technologies is a comprehensive description of state-of-the-art network management practices at airlines. A compendium on current practices and future trends in the field, the book offers an instructive guide through the complex world of non-linear production systems.
Managing Airline Networks: Design, Integration and Innovative Technologies is a comprehensive description of state-of-the-art network management practices at airlines. A compendium on current practices and future trends in the field, the book offers an instructive guide through the complex world of non-linear production systems.
Markus Franke is owner of Franke Aviation & Transportation Consulting (FATC) and Managing Partner at M2P Consulting in Frankfurt. He has a track record of 29 years in aviation and 25 years in consulting, focusing on strategy and digitalisation. He is a lecturer at the International University of Bad Honnef (IUBH) and has published various articles and papers.
Inhaltsangabe
PART I State-of-the-art network management at airlines 1. Introduction 2. Planning paradigms for different types of networks 3. Key performance indicators for successful network design 4. Network management processes 5. Network optimisation models and planning tools 6. Impact of network design on airline planning 7. Impact of network design on airline performance 8. Case study on levers and effects of network management PART II Interplay with adjacent functions 9. Interplay and integration with adjacent functions PART III Trends in network management 10. New demand forecasting models 11. New database technologies ('big data') 12. Machine learning and artificial intelligence 13. Alternative optimisation models Overall conclusion
PART I State-of-the-art network management at airlines 1. Introduction 2. Planning paradigms for different types of networks 3. Key performance indicators for successful network design 4. Network management processes 5. Network optimisation models and planning tools 6. Impact of network design on airline planning 7. Impact of network design on airline performance 8. Case study on levers and effects of network management PART II Interplay with adjacent functions 9. Interplay and integration with adjacent functions PART III Trends in network management 10. New demand forecasting models 11. New database technologies ('big data') 12. Machine learning and artificial intelligence 13. Alternative optimisation models Overall conclusion
PART I State-of-the-art network management at airlines 1. Introduction 2. Planning paradigms for different types of networks 3. Key performance indicators for successful network design 4. Network management processes 5. Network optimisation models and planning tools 6. Impact of network design on airline planning 7. Impact of network design on airline performance 8. Case study on levers and effects of network management PART II Interplay with adjacent functions 9. Interplay and integration with adjacent functions PART III Trends in network management 10. New demand forecasting models 11. New database technologies ('big data') 12. Machine learning and artificial intelligence 13. Alternative optimisation models Overall conclusion
PART I State-of-the-art network management at airlines 1. Introduction 2. Planning paradigms for different types of networks 3. Key performance indicators for successful network design 4. Network management processes 5. Network optimisation models and planning tools 6. Impact of network design on airline planning 7. Impact of network design on airline performance 8. Case study on levers and effects of network management PART II Interplay with adjacent functions 9. Interplay and integration with adjacent functions PART III Trends in network management 10. New demand forecasting models 11. New database technologies ('big data') 12. Machine learning and artificial intelligence 13. Alternative optimisation models Overall conclusion
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