Revenue Management with Flexible Products: Models and Methods for the Broadcasting Industry

Etukansi
Springer Science & Business Media, 18.9.2007 - 299 sivua

Remarkable features of revenue management (RM) problems in the cargo, manufacturing and broadcasting industries are so-called flexible products. "Flexibility" means that the actual mode of production is not defined at the time of purchase, but can be chosen later on by the service provider. This book is among the first to analyze RM problems with flexible products and RM in broadcasting companies. The implications of flexibility are explicitly taken into account in the models and methods presented. As an aside, the book contains descriptions of algorithms to generate stochastic demand data streams for general RM problems. An implementation as a Microsoft Windows executable file is available, which can directly be used both by theoreticians and practitioners in their own simulation studies. This book will be of great value for researchers, managers and students interested in RM with flexible products in general and broadcasting companies in particular.

 

Sisältö

Contents
1
Capacity Control and Overbooking
31
Recent Advances in Revenue Management
91
4
120
Simulation of Stochastic Demand Data Streams
129
Revenue Management in Broadcasting Companies
163
Conclusion
245
A Demand Distribution of the BetaGammaArrival
248
References 259
258
Index
291
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Sivu vi - Listen to the water-mill; Through the livelong day, How the clicking of its wheel Wears the hours away! Languidly the autumn wind, Stirs the...
Sivu 269 - In Proceedings of the West Coast Conference on Combinatorics, Graph Theory and Computing (Humbolt State University, Arcata, California, September 5-7).
Sivu 287 - The Effectiveness of Direct Response Radio Commercials. Results of a Field Experiment in the Netherlands', European Journal of Marketing, 34(1/2), 143-55.
Sivu viii - Acknowledgements Writing this book would not have been possible without the support of a number of people.
Sivu 284 - Management Of Multi-Item Retail Inventory Systems With Demand Substitution," Operations Research, 48, 1 (2000), 50-64.

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