Abstract: A method, medium, and system to receive a planned flight schedule and an actual flight schedule; determine root cause disturbances for the actual flight schedule based on the planned flight schedule and the actual flight schedule; evaluate a robustness of the planned flight schedule based on an execution of a simulation-based model to generate a set of quantitative metrics for the planned flight schedule; generate a record of the root cause disturbances and a record of the set of quantitative metrics for the planned flight plan; evaluate a robustness of a test flight schedule based on an execution of the simulation-based model and the determined root cause disturbances applied to the simulation-based model to generate a set of quantitative metrics for the test flight schedule; and generate a record of the set of quantitative metrics for the test flight plan.

Abstract: A method, medium, and system to receive actual flight schedule data, including flight details associated with each flight of the actual flight schedule; determine an estimate of at least one of airline operations performance constraints and metrics based on the actual flight schedule data and at least one of business rules and an execution of a simulation-based model; and generate a record of corrected actual flight data based on the estimate of at least one of airline operations performance constraints and metrics and the actual flight data.

Abstract: A method, medium, and system to receive a baseline airline schedule including details associated with at least one flight; optimize the baseline airline schedule in accordance with at least one specified optimization objective to generate an optimized airline schedule; evaluate a robustness of the optimized airline schedule based on an execution of a simulation based process to generate a set of quantitative metrics; and generate a record of the set of quantitative metrics.

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Abstract: A method, medium, and system to receive a baseline airline schedule including details associated with at least one flight; optimize the baseline airline schedule in accordance with at least one specified optimization objective to generate an optimized airline schedule; evaluate a robustness of the optimized airline schedule based on an execution of a simulation based process to generate a set of quantitative metrics; and generate a record of the set of quantitative metrics.

Abstract: A method, medium, and system to receive a planned flight schedule and an actual flight schedule; determine root cause disturbances for the actual flight schedule based on the planned flight schedule and the actual flight schedule; evaluate a robustness of the planned flight schedule based on an execution of a simulation-based model to generate a set of quantitative metrics for the planned flight schedule; generate a record of the root cause disturbances and a record of the set of quantitative metrics for the planned flight plan; evaluate a robustness of a test flight schedule based on an execution of the simulation-based model and the determined root cause disturbances applied to the simulation-based model to generate a set of quantitative metrics for the test flight schedule; and generate a record of the set of quantitative metrics for the test flight plan.

Abstract: A method, medium, and system to receive actual flight schedule data, including flight details associated with each flight of the actual flight schedule; determine an estimate of at least one of airline operations performance constraints and metrics based on the actual flight schedule data and at least one of business rules and an execution of a simulation-based model; and generate a record of corrected actual flight data based on the estimate of at least one of airline operations performance constraints and metrics and the actual flight data.

Abstract: A computer-implemented method for estimating maintenance task durations is provided. The method is implemented by at least one computing system including at least one processor and at least one memory device coupled to the processor. The method includes receiving a query including a first query maintenance task and a plurality of query factors, and identifying an initial baseline task duration based at least in part on the first query maintenance task. The initial baseline task duration includes a plurality of baseline task factors. The method further includes identifying at least one adjustment factor based at least in part on the differences between the plurality of query factors and the plurality of baseline task factors, calculating a maintenance task duration estimate based at least in part on the initial baseline task duration and the adjustment factors, and planning execution of the first query maintenance task based on maintenance task duration estimate.

Abstract: An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights where the airline operations control system includes a computer searchable database a query module configured to query the database and a display module and a method of controlling operation of the airline having the multiple aircraft and the multiple routes.

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Abstract: A computer-implemented system for identifying a precursor to a failure of a particular type of component in a physical system is provided. The physical system includes sensors coupled to the physical system. The computer-implemented system includes a computing device, a database, a processor, and a memory device. The memory device includes historical data including sensor measurements. When instructions are executed by the processor, the processor receives the historical data from the memory device. The processor generates a predictive model. The predictive model uses, as inputs, sensor measurements in the historical data. The predictive model is able to differentiate between sensor measurements taken before the repair event and those taken after the repair event without a time of the repair event being an input to the predictive model. The processor designates at least one sensor measurements used as inputs to the predictive model as precursors to the failure of the component.

Abstract: An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights where the airline operations control system includes a computer searchable database a query module configured to query the database and a display module and a method of controlling operation of the airline having the multiple aircraft and the multiple routes.

Abstract: The present disclosure relates approaches that may be used to analyze data from hospital records to identify deficiencies in the operation of the hospital. In certain implementations, features of the data may be evaluated in conjunction with performance indicators to identify root causes associated with the deficiencies. In further implementations, identification of root causes of deficiencies identified in the historical data may be used to generate recommendations for changes to the operation of the hospital. In further implementations, events may be predicted based on the identification of a features or features within the current data that is indicative of a pending problem or event.

Abstract: A method for planning repair of an engine is provided. The method comprises monitoring an engine having a plurality of engine modules and determining one or more module-specific health estimates for one or more of the engine modules, based on a plurality of engine parameters. The method further comprises planning repair of the engine based on one or more of the module-specific health estimates determined for one or more of the engine modules.

Abstract: The performance of optimization algorithms operating with compute-intensive fitness functions is enhanced by constraining time-intensive fitness evaluations for candidate solutions that show low likelihood of being fit at early stages of the fitness evaluation. By prematurely discarding alternatives that could be potentially optimal upon complete fitness evaluation but with low likelihood, the running time of the overall optimization process is advantageously reduced substantially, thereby trading off time complexity for search fidelity.

Abstract: System, method and computer product for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.

Abstract: System, method and computer-readable medium for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.

Abstract: System, method and computer product for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.

Abstract: System, method and computer product for baseline modeling a product or process. A service database contains process data. A preprocessor processes the data into a predetermined format. A baseline modeling component builds a baseline model from the preprocessed data, wherein the baseline model relates process performance variables as a function of process operating conditions.