Abstract: Systems and methods of planning and scheduling resources of an airline include using machine learning models to generate custom behavioral characteristics for a plurality of operational components of the airline based on operations data. The custom behavioral characteristics are used to define inputs and outcomes in simulations of the operational components of the airline. The simulation outputs performance indicators and a feedback loop captures previously ignored interactions between the operational components of the airline based on the performance indicators and custom behavioral characteristics of inputs and outcomes corresponding to the plurality of operational components of the airline.

Abstract: Optimization systems and methods for optimizing business operations and asset systems are disclosed. A system includes digital twins corresponding to asset systems; business models corresponding to business operations; and an electronic control unit (ECU). The ECU is programmed to: implement an asset optimizer module, where implementing the asset optimizer module interconnects the digital twins for optimization; execute the asset optimizer module, where the asset optimizer module optimizes the digital twins to obtain one or more optimization parameters for the asset systems; implement a system optimizer module, where the system optimizer module receives the one or more optimization parameters and the business models; execute the system optimizer module, where the system optimizer module generates operation protocols for the business models; and output, to a user, the operation protocols for implementation in a real-world asset system.

Abstract: Systems and methods for rescheduling passengers are provided. One example aspect of the present disclosure is directed to a method for rescheduling passengers. The method includes receiving an indication that an event has disrupted a plurality of flights. The method includes identifying a plurality of itineraries. The method includes determining a plurality of sets for the itineraries. The method includes determining a plurality of operations plan alternatives based on the plurality of sets. The method includes determining one or more constraints from the plurality of sets of itineraries. The method includes applying the one or more constraints to the plurality of operations plan alternatives to determine an impact of the one or more constraints to the plurality of operations plan alternatives on the sets of itineraries. The method includes determining an operations plan comprising a schedule for the plurality of flights.

Abstract: An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.

Abstract: An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.

Abstract: An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate airline operations and planning management are provided. In one embodiment, a system utilizes a processor that executes computer implemented components stored in memory. A model generation component generates a model of a set of influencers that affect the airline operations. An input component receives data regarding state of a subset of the influencers. An impact component employs the model to determine impact of the state of respective influencers on the airline operations. A scheduling component modifies the airline operations as a function of the determined impact. An update component updates the model to improve model fidelity as a function of collected airline performance data that becomes available after the airline operations have been modified by the scheduling component.

Abstract: Systems and methods for rescheduling passengers are provided. One example aspect of the present disclosure is directed to a method for rescheduling passengers. The method includes receiving an indication that an event has disrupted a plurality of flights. The method includes identifying a plurality of itineraries. The method includes determining a plurality of sets for the itineraries. The method includes determining a plurality of operations plan alternatives based on the plurality of sets. The method includes determining one or more constraints from the plurality of sets of itineraries. The method includes applying the one or more constraints to the plurality of operations plan alternatives to determine an impact of the one or more constraints to the plurality of operations plan alternatives on the sets of itineraries. The method includes determining an operations plan comprising a schedule for the plurality of flights.

Abstract: Systems and methods for determining a passenger service parameter for flight disruption are provided. A method can include receiving, by one or more processors, data indicative of user selection of flight disruption criteria. The method can further include determining, by the one or more processors, at least one impacted passenger based at least upon the data indicative of the user selection. The method can further include determining, by the one or more processors, an alternate flight accommodation for the at least one impacted passenger. The method can further include determining, by the one or more processors, a flight delay for the at least one impacted passenger based at least upon the alternate flight accommodation. The method can further include determining, by the one or more processors, a passenger service parameter associated the at least one impacted passenger based at least upon the flight delay.

Abstract: An airline operations system, controller and method reschedules flights affected by a disruption that precludes a planned schedule for the flights. The method includes obtaining data related to a scheduled origination and a scheduled destination for each of a set of passengers scheduled on the flights, generating a passenger connection network of connections between the scheduled origination and the scheduled destination for a subset of the set of passengers, applying at least one criterion to the passenger connection network and rescheduling at least one connecting flight based on the criteria. The system and controller solves a network flow problem to reschedule a subset of connecting flights to have a delayed projected departure time. Resulting output can include the set of delayed flights along with modified projected departure times, a set of flight cancellations and a set of passengers with missed connections.

Abstract: Method and system are directed to capturing consumer agreement to the terms of a transaction conducted online. The method/system uses a modular electronic signature block that may be applied to electronic versions of any standardized form. The electronic signature is implemented in a non-invasive way that does not alter or replace the contents of the electronic forms. The modular nature of the electronic signature block allows a separate electronic signature to be used for each online form, or a single electronic signature for multiple online forms. The online forms themselves are generated by populating a generic template of the standardized forms with consumer-specific data. The electronically-signed forms may thereafter be stored as data for a particular template. Such an arrangement provides a more secure, reproducible, verifiable, and unalterable means of capturing consumer consent, thereby allowing consumer transactions to be conducted entirely online.