Abstract: Techniques for efficiently managing resources are described. In an example, a computer system may access a forecast for demand associated with utilizing a service during a time period, where the service is available from service sources grouped in clusters. The computer system may identify resources scheduled to facilitate the service. Based on a scheduled start time for utilizing a resource, the forecast, and an allocation of remaining resources to the clusters, the computer system may allocate the resource to a first cluster and may provide a notification about the allocation to an associated client device. At a subsequent time during the time period, the computer system may re-allocate the resource to a second cluster based on a current utilization of the resource, an update to the forecast, and the allocation of the remaining resources. A respective notification may be provided to the client device.

Abstract: Generally, an airline operations computing system accomplishes rule checking in an efficient and useful manner and provides functionality that allows multiple different users to accomplish schedule changes in a manner that minimizes conflicts between different schedulers. In addition, an airline operations computing system includes a common rules engine that is used by multiple different optimizer and decision support systems of the airline operations computing system.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes generating a first graph including possible flight segments between airline stations for an airline and determining a set of permissible crew pairings based on a traversal of the first graph. The method also includes generating a second graph comprising the determined set of permissible crew pairings and determining a set of permissible aircraft routings based on a traversal of the second graph. The method includes generating a set of optimized aircraft routings using an integer-programming algorithm that accepts the determined set of permissible aircraft routings as input, and outputting the set of optimized aircraft routings for use in a flight schedule.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes receiving a number Nm of optional flights available to fly a flight route. The method also includes receiving a minimum number Im of the optional flights to fly the flight route, receiving a maximum number um of the optional flights to fly the flight route, and generating one or more constraints for an optimization model that are configured to cause the optimization model to favor the selection of at least Im flights and to favor the selection of at most um flights from the Nm optional flights to fly the flight route. The method includes selecting, using the optimization model, an optimized subset of the Nm optional flights, where the selection is based on the one or more constraints.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes generating a first graph including possible flight segments between airline stations for an airline and determining a set of permissible crew pairings based on a traversal of the first graph. The method also includes generating a second graph comprising the determined set of permissible crew pairings and determining a set of permissible aircraft routings based on a traversal of the second graph. The method includes generating a set of optimized aircraft routings using an integer-programming algorithm that accepts the determined set of permissible aircraft routings as input, and outputting the set of optimized aircraft routings for use in a flight schedule.

Abstract: Generally, an airline operations computing system accomplishes rule checking in an efficient and useful manner and provides functionality that allows multiple different users to accomplish schedule changes in a manner that minimizes conflicts between different schedulers. In addition, an airline operations computing system includes a common rules engine that is used by multiple different optimizer and decision support systems of the airline operations computing system.

Abstract: Generally, an airline operations computing system accomplishes rule checking in an efficient and useful manner and provides functionality that allows multiple different users to accomplish schedule changes in a manner that minimizes conflicts between different schedulers. In addition, an airline operations computing system includes a common rules engine that is used by multiple different optimizer and decision support systems of the airline operations computing system.

Abstract: Generally, there is provided an airline operations computing system and graphical user interface features that enable users to plan and conduct airline or other types of transportation operations effectively and time efficiently, and in addition, to do so in the face of disruptions due to weather, sick crew members, aircraft in need of repair, and the like. For example, a method and computer program product are provided for scheduling a resource to a scheduled airline flight or other transportation operation. The scheduling of the resource involves receiving a user input that associates a visual display of a selected flight or other transport pairing with a visual display of a selected candidate resource. In addition, a user interface display is provided that includes a listing area and a schedule area for performing scheduling functions.