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:
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:
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.
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.
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. The plan is based on the characteristics of the cargo containers, the cargo handling equipment, the rail vehicles, and the automobile vehicles.
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:
A method for managing aircraft operations includes determining, via a trajectory predictor, an expected fuel usage for a flight along a desired route, and determining, via at least one processor, an available cargo capacity for the flight along the desired route based at least in part on the expected fuel usage. In addition, the method includes determining, via the at least one processor and the trajectory predictor, a passenger ticket price, a cargo price, and a fuel quantity based at least in part on an available seating capacity, an expected passenger demand, the available cargo capacity, and an expected cargo demand to enhance profitability of a flight network. The method also includes outputting the passenger ticket price, the cargo price, and the fuel quantity to a user interface, to a storage device, and/or to a network.
Abstract:
Systems, methods, and apparatuses for scheduling aircraft maintenance events. One system includes a user interface and at least one processor. The system is configured to receive an indication that an unscheduled maintenance event for an aircraft is to be scheduled, and to determine, using the at least one processor, a maintenance schedule for completing the unscheduled maintenance event on the aircraft, a modified flight schedule for the aircraft, and a modified aircraft schedule for the aircraft based on the unscheduled maintenance event, an initial flight schedule, an initial aircraft schedule, and at least one selectable parameter indicative of user preferences to reduce a total cost of operating the at least one aircraft. The system is configured to provide at least one of the maintenance schedule, the modified flight schedule, and the modified aircraft schedule to the user interface.
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.