Abstract: A yield management method and system are provided for enhancing revenue obtained from a given cargo flight capacity; the capacity being defined by the weight and volume of freights that may be transported. A set of historical profiles of capacity reserved by each category is stored for previous instances of the flight. Corresponding potential profiles are estimated independently for the weight and volume. The estimation is carried out taking into consideration the corresponding capacity currently reserved by the category for a future instance of the flight; and this result is emphasized according to a corresponding unconstrained demand for the category. A series of historical scenarios of the demand at the departure of previous instances of the flight are obtained from the potential profiles, and a stochastic model is applied to the historical scenarios according to the corresponding probabilities for calculating the optimised weight and volume authorizations for each category.

Abstract: A yield management method and system are provided for enhancing revenue obtained from a given cargo flight capacity; the capacity being defined by the weight and volume of freights that may be transported. A set of historical profiles of capacity reserved by each category is stored for previous instances of the flight. Corresponding potential profiles are estimated independently for the weight and volume. The estimation is carried out taking into consideration the corresponding capacity currently reserved by the category for a future instance of the flight; and this result is emphasised according to a corresponding unconstrained demand for the category. A series of historical scenarios of the demand at the departure of previous instances of the flight are obtained from the potential profiles, and a stochastic model is applied to the historical scenarios according to the corresponding probabilities for calculating the optimised weight and volume authorisations for each category.

Abstract: A yield management method and system, particularly for maximizing a revenue that can be obtained from a given capacity that is offered by a cargo flight; the capacity is defined by two different variables consisting of the weight and the volume of the freights that may be transported by the flight. A set of historical profiles of the capacity (weight and volume) reserved by each category is stored for different previous instances of the flight. Corresponding potential profiles are estimated independently for the weight and the volume. The estimation is carried out taking into consideration the corresponding capacity currently reserved by the category for a future instance of the flight; moreover, this result is emphasized according to a corresponding unconstrained demand for the category. A series of historical scenarios of the demand at the departure of each previous instance of the flight are then obtained from the potential profiles.

Abstract: A yield management method and system, particularly for maximising a revenue that can be obtained from a given capacity that is offered by a cargo flight; the capacity is defined by two different variables consisting of the weight and the volume of the freights that may be transported by the flight. A set of historical profiles of the capacity (weight and volume) reserved by each category is stored for different previous instances of the flight. Corresponding potential profiles are estimated independently for the weight and the volume. The estimation is carried out taking into consideration the corresponding capacity currently reserved by the category for a future instance of the flight; moreover, this result is emphasised according to a corresponding unconstrained demand for the category. A series of historical scenarios of the demand at the departure of each previous instance of the flight are then obtained from the potential profiles.

Abstract: A yield management method and system for maximising revenue obtained from a given capacity that is offered by a cargo flight. The capacity is defined by the weight and the volume of the freights that may be transported by the cargo flight. A set of historical profiles of the capacity reserved by each category is stored for different previous instances of the cargo flight. Corresponding potential profiles are estimated independently for the weight and the volume. The estimation is carried out taking into consideration the corresponding capacity currently reserved by the category for a future instance of the cargo flight. A series of historical scenarios of the demand at the departure of each previous instance of the cargo flight are obtained from the potential profiles. A stochastic model is applied to the historical scenarios according to the corresponding probabilities for calculating the optimised weight and volume authorisations for each category.

Abstract: A yield management method (300) and system, particularly for maximising a revenue that can be obtained from a given capacity that is offered by a cargo flight; the capacity is defined by two different variables consisting of the weight and the volume of the freights that may be transported by the flight. A set of historical profiles of the capacity (weight and volume) reserved by each category is stored (306) for different previous instances of the flight. Corresponding potential profiles are estimated (316-326, 332) independently for the weight and the volume. The estimation is carried out taking into consideration the corresponding capacity currently reserved by the category for a future instance of the flight; moreover, this result is emphasised according to a corresponding unconstrained demand for the category (not limited by the offered capacity). A series of historical scenarios of the demand at the departure of each previous instance of the flight are then obtained from the potential profiles (344).