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Pak, K.; Piersma, N. - Erasmus Research Institute of Management (ERIM), … - 2002

new applications throughout the years, the main focus of research continues to be the airline industry. Ever since … Littlewood (1972) first proposed a solution method for the airline revenue management problem, a variety of solution methods have …

Persistent link: https://www.econbiz.de/10010731454

Models and Techniques for Hotel Revenue Management Using a Roling Horizon

Goldman, P.; Freling, Freling, R.; Pak, K.; Piersma, N. - Erasmus Research Institute of Management (ERIM), … - 2001

Abstract This paper studies decision rules for accepting reservations for stays in a hotel based on deterministic and stochastic mathematical programming techniques. Booking control strategies are constructed that include ideas for nesting, booking limits and bid prices. We allow for multiple...

Persistent link: https://www.econbiz.de/10010731519

Models and techniques for hotel revenue management using a rolling horizon.

Goldman, P.; Freling, Freling, R.; Pak, K.; Piersma, N. - Faculteit der Economische Wetenschappen, Erasmus … - 2001

This paper studies decision rules for accepting reservations for stays in a hotel based on deterministic and stochastic mathematical programming techniques. Booking control strategies are constructed that include ideas for nesting, booking limits and bid prices. We allow for multiple day stays....

Persistent link: https://www.econbiz.de/10010837864

Stochastic programming for multiple-leg network revenue management

de Boer, S.V.; Freling, Freling, R.; Piersma, N. - Faculteit der Economische Wetenschappen, Erasmus … - 1999

Airline seat inventory control is a very profitable tool in the airline industry. Mathematical programming models …

Persistent link: https://www.econbiz.de/10010837901

airline revenue management

Pak, K.; Piersma, N. - Erasmus Research Institute of Management (ERIM), ERIM … - 2002

Persistent link: https://www.econbiz.de/10005288441

Models and Techniques for Hotel Revenue Management Using a Roling Horizon

Goldman, P.; Freling, R.; Pak, K.; Piersma, N. - Erasmus Research Institute of Management (ERIM), ERIM … - 2001

Persistent link: https://www.econbiz.de/10005288643

Stochastic programming for multiple-leg network revenue management

Boer, S.V. de; Freling, R.; Piersma, N. - Erasmus University Rotterdam, Econometric Institute - 1999

Airline seat inventory control is a very profitable tool in the airline industry. Mathematical programming models …

Persistent link: https://www.econbiz.de/10008584642

Models and techniques for hotel revenue management using a rolling horizon.

Goldman, P.; Freling, R.; Pak, K.; Piersma, N. - Erasmus University Rotterdam, Econometric Institute - 2001

Persistent link: https://www.econbiz.de/10008584756

Stand und Perspektiven des Einsatzes von Revenue Management in der Prozessindustrie

Kolisch, Rainer; Zatta, Danilo - In: Metrika 20 (2009) 2, pp. 197-214

After its success in the service industry, revenue management is now an increasingly discussed topic in the process industry. The results from an empirical study among 124 firms show that the overall importance of revenue management within the process industry is regarded as high. Furthermore,...

Persistent link: https://www.econbiz.de/10010995035

Dynamic allocation and pricing: A mechanism design approach

Gershkov, Alex; Moldovanu, Benny - In: International Journal of Industrial Organization 30 (2012) 3, pp. 283-286

This paper illustrates the benefits of applying mechanism design techniques to questions in revenue management, in particular to dynamic allocation and pricing problems. It is demonstrated that the solution to a sequential stochastic assignment problem under complete information can also be...

Persistent link: https://www.econbiz.de/10010577392