Abstract: A system for building a vehicle system determines cargo and vehicles to carry the cargo from a first location to a second location via one or more vehicle yards disposed between the locations. One or more characteristics of the vehicle yards are determined, as well as different builds of the vehicle system based on the cargo, the vehicle units, and the characteristics of the vehicle yards. The different builds designate different combinations of where the first cargo is carried in a vehicle system that includes the vehicle units and/or where the vehicle units are located relative to each other in the vehicle system. A build of the vehicle system is selected from among the different builds for forming the vehicle system according to the build in order to reduce the time spent handling or processing the vehicle system at another vehicle yard.

Abstract: A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability.

Abstract: A method of generating a recommendation of terms of an aircraft services contract is disclosed. Operations data pertaining to a planned usage of each aircraft of a fleet of aircraft is received. The operations data pertains to the fleet of aircraft for which an aircraft services customer seeks to enter into a services contract with an aircraft services provider. The operations data includes flight schedule data and flight policy data specific to each of the aircraft. Historical data pertaining to actual usage of other fleets of aircraft with respect to the flight schedule data and the flight policy data is analyzed. The analyzing includes generating an estimation of a risk associated with the services contract from the perspective of the aircraft services provider. An acceptable price for the services contract is generated such that the risk is mitigated from the perspective of the services provider. The terms pertaining to the service contract are communicated for presentation in a user interface.

Abstract: A method of providing a first set of computer systems with access to a recommendation pertaining to operation of one aircraft in one or more fleets of aircraft is disclosed. Operations data is collected at the first set of computer systems. The operations data pertains to operations of the one or more fleets of aircraft over a time period. The operations data is stored in one or more databases of a second set of computer systems. The operations data includes values corresponding to fields in the one or more databases. The fields represent at least one of policy data pertaining to one or more operations policies, flight schedule data pertaining to one or more flight schedules, and operating cost data pertaining to operating costs associated with the one or more fleets of aircraft. Assumptions of control input values are derived for use by the first set of computer systems based on the operations data.

Abstract: A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability.

Abstract: A method of generating a recommendation of terms of an aircraft services contract is disclosed. Operations data pertaining to a planned usage of each aircraft of a fleet of aircraft is received. The operations data pertains to the fleet of aircraft for which an aircraft services customer seeks to enter into a services contract with an aircraft services provider. The operations data includes flight schedule data and flight policy data specific to each of the aircraft. Historical data pertaining to actual usage of other fleets of aircraft with respect to the flight schedule data and the flight policy data is analyzed. The analyzing includes generating an estimation of a risk associated with the services contract from the perspective of the aircraft services provider. An acceptable price for the services contract is generated such that the risk is mitigated from the perspective of the services provider. The terms pertaining to the service contract are communicated for presentation in a user interface.

Abstract: A method of dynamically adjusting an industrial system outage plan is disclosed. Data items pertaining to changes to past plans associated with past outages of a plurality of industrial systems are received along with optional inputs from physics based model(s) of the system, such as a fuel model. The data items include measurements of impacts of changes to the past plans. Work rules pertaining to a work force are received. The work force is responsible for implementing an additional plan corresponding to an additional outage of an additional industrial system. The work rules include fatigue thresholds for workers in the work force. Based on a determination that a probability that one or more fatigue thresholds will be exceeded, a recommendation for a change to the additional plan is generated. The recommendation is based on the measurements of the impacts of the changes to the past plans.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for generating optimal power plant decommissioning plans based on stakeholder constraints. In example embodiments, the method may include receiving one or more constraints for determining a power plant decommissioning plan. The method further includes accessing decommissioning strategy data representing a plurality of possible decommissioning plans, and generating a decommissioning plan in accordance with the constraints based on the decommissioning strategy data. The method may further include causing presentation of a user interface on a client device that includes a graphical representation of the power plant decommissioning plan.

Abstract: A system for building a vehicle system determines cargo and vehicles to carry the cargo from a first location to a second location via one or more vehicle yards disposed between the locations. One or more characteristics of the vehicle yards are determined, as well as different builds of the vehicle system based on the cargo, the vehicle units, and the characteristics of the vehicle yards. The different builds designate different combinations of where the first cargo is carried in a vehicle system that includes the vehicle units and/or where the vehicle units are located relative to each other in the vehicle system. A build of the vehicle system is selected from among the different builds for forming the vehicle system according to the build in order to reduce the time spent handling or processing the vehicle system at another vehicle yard.

Abstract: Aspects of the present disclosure relate to a system comprising a computer-readable storage medium storing at least one program and a method for optimizing and controlling the physical and business aspects of an industrial system. In example embodiments, the method may include assessing criteria to be applied to an industrial system, and generating simulation scenarios based on the criteria. The method may further include simulating each of the simulation scenarios over a period of time to generate simulated physical aspects and simulated business aspects of the industrial system for each of the plurality of simulation scenarios. The method may further include identifying at least one of the simulation scenarios for use with the industrial system based on a comparison of the simulated physical aspects and the simulated business aspects corresponding to each simulation scenario.

Abstract: Systems and methods for determining how to stack containers/trailers on a vehicle consist at a terminal/yard at least to maintain aerodynamic efficiency. Embodiments of the present invention provide a terminal management software application configured to determine how to stack containers/trailers on vehicles of a vehicle consist, taking into account a resultant aerodynamic efficiency of the vehicle consist during transit as well as other factors.

Abstract: A system and method to manage delivery of healthcare via a plurality of resources to a patient is provided. The system and method track and output a signal representative of a location of at least one of a series of resources relative to a control volume associated with the patient, acquire at least one signal representative of detecting ingress or egress of at least one of the plurality of resources relative to the control volume; and output a first signal representative of one of a series of milestones as defined in a predetermined protocol in response to detecting ingress or egress of at least one of the resources relative to the control volume.

Abstract: A system and method to manage delivery of healthcare via a plurality of resources to a patient is provided. The system and method track and output a signal representative of a location of at least one of a series of resources relative to a control volume associated with the patient, acquire at least one signal representative of detecting ingress or egress of at least one of the plurality of resources relative to the control volume; and output a first signal representative of one of a series of milestones as defined in a predetermined protocol in response to detecting ingress or egress of at least one of the resources relative to the control volume.

Abstract: Snapshot data may be received indicative of a current state of resources that deliver healthcare to a plurality of patients associated with a healthcare enterprise. The received snapshot data may be automatically used to initialize a healthcare enterprise simulation model. The healthcare enterprise simulation model may then be executed to automatically generate a predicted future state of the resources at a predetermined point in time. Some embodiments may automatically suggest mitigation strategies based on simulated scenarios reflecting potential bottlenecks and appropriate actions that may be taken by the enterprise. The system may continuously and automatically monitor forecast accuracy to detect potential anomalies.

Abstract: Current resource data may be continuously and automatically received indicative of a current state of resources that are used to deliver healthcare to a plurality of patients associated with a healthcare enterprise. The current resource data may be automatically used to update a healthcare enterprise simulation model. The healthcare enterprise simulation model may be executed to automatically generate a predicted future state of the resources. A resource request may then be received, and a resource assignment engine may automatically assign a particular resource to the resource request based at least in part on the predicted future state of the resources.

Abstract: According to some embodiments, first current resource data indicative of a current state of first resources that are used to deliver healthcare to a plurality of patients associated with a first healthcare enterprise is continuously and automatically received. The first current resource data may be automatically used to update a healthcare enterprise simulation model. The healthcare enterprise simulation model may automatically generate a predicted future state of the first resources, wherein the predicted future state of the first resources is based at least in part on second resource data indicative of a state of second resources that are used to deliver healthcare to a plurality of patients associated with a second healthcare enterprise remote from and networked with the first healthcare enterprise.

Abstract: Systems and methods for determining how to stack containers/trailers on a vehicle consist at a terminal/yard at least to maintain aerodynamic efficiency. Embodiments of the present invention provide a terminal management software application configured to determine how to stack containers/trailers on vehicles of a vehicle consist, taking into account a resultant aerodynamic efficiency of the vehicle consist during transit as well as other factors.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.