Abstract: Methods and systems for generating a recovery scheduling solution in response to a scheduling disruption are disclosed.

Abstract: A system and method are provided for operating a wind farm. Accordingly, a wind direction affecting the wind farm is determined. Based on the wind direction, a controller identifies a turbine cluster, which is a subset of a plurality of wind turbines of the wind farm. The subset includes at least an upwind turbine and a downwind turbine that is affected by a wake emanating from the upwind turbine. With the turbine cluster identified for the given wind direction, the controller then determines a difference between a freestream maximal cluster power output and a wake-affected cluster power output for the turbine cluster. The controller then determines a mitigation setpoint combination for the subset of wind turbines. The mitigation setpoint combination is configured to establish a mitigated cluster power output.

Abstract: Methods and systems for generating a recovery scheduling solution in response to a scheduling disruption are disclosed.

Abstract: Systems and methods of generating a recovery scheduling solution in response to a scheduling disruption are disclosed.

Abstract: A system includes one or more processors that determine: a characteristic of a cargo container scheduled for receipt into or travel out of a terminal; a characteristic of cargo handling equipment associated with the terminal and selected from cranes, lifts, conveyors, and elevators; a characteristic of a first transportation vehicle scheduled for entry into or travel out of the terminal; a characteristic of a different, second transportation vehicle scheduled for entry into or travel out of the terminal; a constraint associated with cargo handling operations involving transferring the cargo container via the cargo handling equipment; and a plan for the cargo handling equipment to transfer the cargo container within the terminal based on the characteristics and the constraint. The one or more processors initiate the cargo handling equipment to move the cargo container from the first transportation vehicle to the second transportation vehicle according to the plan.

Abstract: An intermodal terminal control system determines characteristics of cargo containers scheduled for receipt into and/or travel out of an intermodal terminal connected with both rail routes and automobile routes, determines characteristics of cargo handling equipment within the intermodal terminal, determines characteristics of rail vehicles scheduled for one or more of entry into or travel out of the intermodal terminal, and determines characteristics of automobile vehicles scheduled for entry into or travel out of the intermodal terminal. The system also determines constraints on cargo handling operations and a plan for the cargo handling equipment to transfer the cargo containers between the different modes of transportation within the intermodal terminal. The plan designates a sequence of operations to be performed in moving the cargo containers with the cargo handling equipment.

Abstract: According to some embodiments, system and methods are provided comprising receiving input including: coordinates of one or more regions to be fabricated on a build plate, a laser boundary for each of two or more lasers, wherein the lasers fabricate the one or more regions, and a processing time for each region; deriving a prioritized sequence of the one or more regions to be fabricated; determining, based on the received coordinates and received laser boundary, one or more potential lasers assignments for each region; determining, based on the determined potential laser assignments, the prioritized sequence of the one or more regions, and the processing time for each region, a laser-to-region sequence for the one or more lasers to fabricate the one or more regions; assigning the determined laser-to-region sequence to the one or more lasers for fabrication of the one or more regions. Numerous other aspects are provided.

Abstract: Systems and methods for multi-resource scheduling are disclosed and described. An example apparatus includes a scheduler engine configured to enable clinical system(s) to operate with the scheduler engine in an analytical mode and an operating mode. When in the analytical mode, the scheduler engine is to dynamically calculate one or more binding constraints on the one or more clinical systems for scheduling. When in the operating mode, the scheduler engine is to manage and output a schedule for the one or more clinical systems based on the one or more binding constraints calculated in the analytical mode. The example scheduler engine is to dynamically switch between the analytical mode and the operating mode based at least in part on a probabilistic determination of delay associated with the schedule.

Abstract: According to some embodiments, system and methods are provided comprising receiving input including: coordinates of one or more regions to be fabricated on a build plate, a laser boundary for each of two or more lasers, wherein the lasers fabricate the one or more regions, and a processing time for each region; deriving a prioritized sequence of the one or more regions to be fabricated; determining, based on the received coordinates and received laser boundary, one or more potential lasers assignments for each region; determining, based on the determined potential laser assignments, the prioritized sequence of the one or more regions, and the processing time for each region, a laser-to-region sequence for the one or more lasers to fabricate the one or more regions; assigning the determined laser-to-region sequence to the one or more lasers for fabrication of the one or more regions. Numerous other aspects are provided.

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 power assignment system and method determine a needed amount of power for propelling a vehicle system along a route and identify propulsion-generating vehicles for inclusion in the vehicle system based on power capabilities of the one or more propulsion-generating vehicles. Handling parameters of the vehicle system are determined for different groups of the propulsion-generating vehicles, and the propulsion-generating vehicles in at least one of the groups are selected based on the handling parameters. The selected propulsion-generating vehicles are included in the vehicle system during actual travel of the vehicle system along the route during the trip.

Abstract: System includes one or more processors configured to determine loading parameters associated with section locations and zone locations. The section locations are locations of cargo sections at a product-distribution site, and the zone locations are locations of load zones at the product-distribution site. The one or more processors are also configured to assign the outbound automobiles to the load zones. The load zones are configured to have multiple outbound automobiles therein. The outbound automobiles are assigned to the load zones to reduce at least one of a total time to move the outbound automobiles from the zone locations to the section locations, a total distance to move the outbound automobiles from the zone locations to the section locations, or a total number of times in which individuals handle the outbound automobiles.

Abstract: A system for allocating field engineers to perform maintenance tasks according to a generated allocation schedule, the maintenance tasks occurring during a planning cycle at customer power plants dispersed within a territory. The system may include a database that stores data related to field engineer and task constraints. The system may further include a computing device configured to: receive an input defining an objective function; using the database, determine an occurring group of the maintenance tasks during the planning cycle; using the database, determine an available group of the field engineers during the planning cycle; using the database, import the task constraints that correspond to the occurring group of maintenance tasks; using the database, import the field engineer constraints that correspond the available group of the field engineers; given the imported task and field engineer constraints, generate an optimized version of the allocation schedule pursuant to the objective function.

Abstract: Systems and methods for multi-resource scheduling are disclosed and described. An example apparatus includes a scheduler engine configured to enable clinical system(s) to operate with the scheduler engine in an analytical mode and an operating mode. When in the analytical mode, the scheduler engine is to dynamically calculate one or more binding constraints on the one or more clinical systems for scheduling. When in the operating mode, the scheduler engine is to manage and output a schedule for the one or more clinical systems based on the one or more binding constraints calculated in the analytical mode. The example scheduler engine is to dynamically switch between the analytical mode and the operating mode based at least in part on a probabilistic determination of delay associated with the schedule.

Abstract: An intermodal terminal control system determines characteristics of cargo containers scheduled for receipt into and/or travel out of an intermodal terminal connected with both rail routes and automobile routes, determines characteristics of cargo handling equipment within the intermodal terminal, determines characteristics of rail vehicles scheduled for one or more of entry into or travel out of the intermodal terminal, and determines characteristics of automobile vehicles scheduled for entry into or travel out of the intermodal terminal. The system also determines constraints on cargo handling operations and a plan for the cargo handling equipment to transfer the cargo containers between the different modes of transportation within the intermodal terminal. The plan designates a sequence of operations to be performed in moving the cargo containers with the cargo handling equipment.

Abstract: Systems and methods are provided to schedule clinical tasks involving multiple sub-tasks and multiple resources in a clinical enterprise. An example method includes identifying a slot for a task defined by a task duration and one or more resources, the task including a plurality of sub-tasks, each sub-task having a sub-task duration utilizing one or more of the one or more resources, wherein each sub-task to be performed consecutively based on resource constraints; selecting a time slot for the task based on resource availability, the plurality of sub-tasks in the task, and a duration associated with each sub-task, wherein resource availability information is obtained from a clinical information system, and wherein each resource is scheduled only for one or more sub-tasks in which the resource is involved; displaying the schedule including the task and the plurality of sub-tasks; and facilitating access to view and modify the schedule.

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 system and method of using one or more DC-DC/DC-AC converters and/or alternative devices allows strings of multiple module technologies to coexist within the same PV power plant. A computing (optimization) framework estimates the percentage allocation of PV power plant capacity to selected PV module technologies. The framework and its supporting components considers irradiation, temperature, spectral profiles, cost and other practical constraints to achieve the lowest levelized cost of electricity, maximum output and minimum system cost. The system and method can function using any device enabling distributed maximum power point tracking at the module, string or combiner level.

Abstract: A power assignment system and method determine a needed amount of power for propelling a vehicle system along a route and identify propulsion-generating vehicles for inclusion in the vehicle system based on power capabilities of the one or more propulsion-generating vehicles. Handling parameters of the vehicle system are determined for different groups of the propulsion-generating vehicles, and the propulsion-generating vehicles in at least one of the groups are selected based on the handling parameters. The selected propulsion-generating vehicles are included in the vehicle system during actual travel of the vehicle system along the route during the trip.

Abstract: A method for managing aircraft ground operations includes receiving an initial gate assignment schedule, an initial operational task schedule, and a current flight schedule. The method also includes determining a first adjusted gate assignment schedule based at least in part on the initial gate assignment schedule and the current flight schedule to reduce costs associated with reassigning aircraft to alternative gates. In addition, the method includes determining a first adjusted operational task schedule based at least in part on the initial operational task schedule and the current flight schedule to reduce costs associated with reassigning ground crew members to alternative tasks. Furthermore, the method includes determining a second adjusted gate assignment schedule and a second adjusted operational task schedule based at least in part on the current flight schedule, the first adjusted gate assignment schedule, and the first adjusted operational task schedule.