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A deep cut ellipsoid algorithm for convex programming

Frenk, J.B.G.; Gromicho, J.A.S.; Zhang, S. - Erasmus University Rotterdam, Econometric Institute - 1994

and central cut version of the algorithm applied to a minâ€”max stochastic queue location problem are reported. …

Persistent link: https://www.econbiz.de/10008584659

Stochastic approaches for product recovery network design: a case study

Listes, O.L.; Dekker, R. - Erasmus University Rotterdam, Econometric Institute - 2001

programming based approaches by which a deterministic location model for product recovery network design may be extended to …

Persistent link: https://www.econbiz.de/10004972216

Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi

Deun, K. van; Groenen, P.J.F. - Erasmus University Rotterdam, Econometric Institute - 2003

In several disciplines, as diverse as shape analysis, location theory, quality control, archaeology, and psychometrics …

Persistent link: https://www.econbiz.de/10005042238

A decomposition approach to a stochastic model for supply-and-return network design

Listes, O.L. - Erasmus University Rotterdam, Econometric Institute - 2002

addressed location problem. The stochastic solutions obtained in a numerical setting generate a significant improvement in terms …

Persistent link: https://www.econbiz.de/10008584644

Dominating Sets for Convex Functions with some Applications

Carrizosa, E.; Frenk, J.B.G. - Erasmus University Rotterdam, Econometric Institute - 1996

and Location. …

Persistent link: https://www.econbiz.de/10008584717

A note on a profit maximizing location model

Zhang, S. - Erasmus University Rotterdam, Econometric Institute - 1997

certain product to this set of customers. The location and demand of each potential customer are assumed to be known. In order … problem of the firm is to find the best location for its warehouse and the best price for its product at the same time in …

Persistent link: https://www.econbiz.de/10008584766

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 provide booking limits or bid-prices for all itineraries and fare classes based on demand forecasts. But the actual revenue generated in the booking process fails to meet...

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

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/10008584756