General Electric Company

Ge Aviation Systems Limited

Navitaire LLC

Taleris Global Llp

Michael Arguello

Jonathan Mark Dunsdon

Jon David Petersen

Marc Joseph Anderson

Stephen Jonathan Davis

Kristin M Schanche

Niem-Trung Luong Tra

Charles P Ephraim

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.

Network digital twin of airline operations

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.

Systems and methods for rescheduling airline passengers

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.

Method for rescheduling flights affected by a disruption and an airline operations control system and controller

An optimization processor which is parameter driven for generating plural solutions for employee transfer requests and leave requests for an entire enterprise in near real time from which an optimal solution avoiding compromises to future staffing requirements may be selected.

Employee transfer and leave optimization processor

Growing community of inventors

Austin, TX, United States of America

Michael Arguello