Abstract: A system and method including receiving a data model representation of a part, the data model representation including at least one layer of the part and inner and outer contours for the at least one layer; determining a hatch pattern for each layer of the at least one layer of the part, the hatch pattern for each layer being dependent on the inner and outer contours for each respective layer; generating a record of the determined hatch pattern for each layer, the record including locations for the hatch pattern for each layer; and saving the record of the determined hatch pattern for each layer of the part. In some aspects, the record of the determined hatch pattern for each layer of the part may be used in an additive manufacturing process.

Abstract: A system and method including receiving a data model representation of a part, the data model representation including at least one layer of the part and inner and outer contours for the at least one layer; determining a hatch pattern for each layer of the at least one layer of the part, the hatch pattern for each layer being dependent on the inner and outer contours for each respective layer; generating a record of the determined hatch pattern for each layer, the record including locations for the hatch pattern for each layer; and saving the record of the determined hatch pattern for each layer of the part. In some aspects, the record of the determined hatch pattern for each layer of the part may be used in an additive manufacturing process.

Abstract: Certain examples provide systems and methods to monitor and control hospital operational systems based on occupancy data and medical orders. An example healthcare workflow management and reasoning system includes a workflow engine including a first particularly programmed processor to monitor one or more medical orders from one or more hospital information systems to identify a condition indicating that a first patient in a first room is ready for a clinical activity such as discharge. The example healthcare workflow management and reasoning system includes a sensing component including a second processor to gather occupancy data regarding the first patient in the first room and transmit the occupancy data to the workflow engine. The example workflow engine controls one or more hospital operational systems to trigger cleaning of the first room, lighting settings for the first room, and transportation of a second patient to the first room based on occupancy data from the sensing component.

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 providing a first set of computer systems with access to a recommendation pertaining to operation of one or more assets based on the one or more assets being in revenue service or in repair is disclosed. Operations data and inspection data is collected at the first set of computer systems. The operations data and inspection data pertains to operating asset states of one or more fleets of aircraft over a time period. The operations data and the inspection data is stored in one or more databases of a second set of computer systems. Assumptions of control input values are derived for use by the first set of computer systems based on the operations data and the inspection data. A financial objective and constraints analysis is performed with a simulation system for one or more assets of the one or more fleets of aircraft. The cost savings analysis includes identifying a modification of at least one of a set of the control input values.

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 or more assets based on the one or more assets being in revenue service or in repair is disclosed. Operations data and inspection data is collected at the first set of computer systems. The operations data and inspection data pertains to operating asset states of one or more fleets of aircraft over a time period. The operations data and the inspection data is stored in one or more databases of a second set of computer systems. Assumptions of control input values are derived for use by the first set of computer systems based on the operations data and the inspection data. A financial objective and constraints analysis is performed with a simulation system for one or more assets of the one or more fleets of aircraft. The cost savings analysis includes identifying a modification of at least one of a set of the control input values.

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 presenting a recommendation in a user interface for use in optimization operation of industrial assets. Digital twins are generated for a set of industrial assets. The digital twins include data structures representing estimated states of each of a plurality of subsystems of the set of industrial assets over a time period based on an application of simulations using cumulative damage models. The cumulative damage models modeling the effects of exogenous factors on the operation of the set of industrial assets over the time period. Based on an uncertainty level of at least one of the estimated states transgressing an uncertainty threshold, directed actual state data is requested from an inspection system deployed in a field of at least one of the industrial assets. Based on a receiving of the actual state data, the data structures are updated to include the actual state data. The uncertainty level of the estimated states of each of the plurality of subsystems is also updated.

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: Certain examples provide systems and methods to monitor and control hospital operational systems based on occupancy data and medical orders. An example healthcare workflow management and reasoning system includes a workflow engine including a first particularly programmed processor to monitor one or more medical orders from one or more hospital information systems to identify a condition indicating that a first patient in a first room is ready for a clinical activity such as discharge. The example healthcare workflow management and reasoning system includes a sensing component including a second processor to gather occupancy data regarding the first patient in the first room and transmit the occupancy data to the workflow engine. The example workflow engine controls one or more hospital operational systems to trigger cleaning of the first room, lighting settings for the first room, and transportation of a second patient to the first room based on occupancy data from the sensing component.

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: 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: 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.