Abstract: A device for providing a barrier for objects resting on a roller deck, wherein the roller deck includes a loading area provided with openings, wherein roller elements for supporting the objects protrude from the openings, and wherein the roller elements are each arranged rotatably about a vertical axis and about a horizontal axis is disclosed. The device includes at least two securing devices, each having an insertion portion for insertion into one of the openings of the roller deck and a support portion for support on a region of the loading area surrounding the opening, and a connecting device for providing a mechanical connection between two securing devices of the at least two securing devices.

Abstract: A computer-implemented job scheduling method. From an actual scheduling instance, an augmented scheduling instance is determined that comprises a virtual system for scheduling one or more jobs that are infeasible at the actual systems. A job scheduler is applied to the augmented scheduling instance to obtain an augmented schedule. An actual schedule is determined from the augmented schedule. Jobs that are scheduled on the virtual system in the augmented schedule, are not scheduled in the actual schedule. The actual schedule is output for carrying out the scheduled jobs.

Abstract: A vehicle for collecting image data of a target object for generating a classifier. The vehicle includes an image sensor and an electronic processor. The electronic processor is configured to determine a plurality of potential trajectories of the vehicle, determine, for each of the plurality of potential trajectories of the vehicle, a total number of views including the target object that would be captured by the image sensor as the vehicle moved along the respective trajectory, and determine a key trajectory of the vehicle from the plurality of potential trajectories based on the total number of views including the target of the key trajectory.

Abstract: A vehicle for collecting image data of a target object for generating a classifier. The vehicle includes an image sensor and an electronic processor. The electronic processor is configured to determine a plurality of potential trajectories of the vehicle, determine, for each of the plurality of potential trajectories of the vehicle, a total number of views including the target object that would be captured by the image sensor as the vehicle moved along the respective trajectory, and determine a key trajectory of the vehicle from the plurality of potential trajectories based on the total number of views including the target of the key trajectory.

Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive training data. The electronic processor is also configured to determine a first set of testing parameters from the plurality of testing parameters to remove for the assembly line based on the training data and determine a second set of testing parameters to keep by removing the first set of testing parameters from the plurality of testing parameters. The electronic processor is also configured to determine a predictive model to replace the first set of testing parameters based on the training data associated with the second set of testing parameters, and automatically update a testing process for the assembly line to turn off the first set of testing parameters and use the predictive model in place of the first set of testing parameters.

Abstract: A system and computer-implemented method for optimizing operations of a facility having a number of associated vehicles providing point-to-point transportation of deliverables. The vehicles may comprise autonomous operations directed by a processor. The deliverables may comprise materials or components for facility operations. The facility may be able to dynamically adapt to changes in environment or operational demands.

Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive a dataset associated with an assembly line. The dataset includes a classification for each of the plurality of products produced by the assembly line, where the assembly line is associated with a plurality of tests. The electronic processor is also configured to determine a set of test combinations for the assembly line based on the plurality of tests and, for each test combination, determine a number of missing products based on the classification for each of the plurality of products. The electronic processor is also configured to determine at least one test to remove based on the number of missing products for each test combination and output a result including an indication of the at least one test to remove.

Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive training data. The electronic processor is also configured to determine a first set of testing parameters from the plurality of testing parameters to remove for the assembly line based on the training data and determine a second set of testing parameters to keep by removing the first set of testing parameters from the plurality of testing parameters. The electronic processor is also configured to determine a predictive model to replace the first set of testing parameters based on the training data associated with the second set of testing parameters, and automatically update a testing process for the assembly line to turn off the first set of testing parameters and use the predictive model in place of the first set of testing parameters.

Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive a dataset associated with an assembly line. The dataset includes a classification for each of the plurality of products produced by the assembly line, where the assembly line is associated with a plurality of tests. The electronic processor is also configured to determine a set of test combinations for the assembly line based on the plurality of tests and, for each test combination, determine a number of missing products based on the classification for each of the plurality of products. The electronic processor is also configured to determine at least one test to remove based on the number of missing products for each test combination and output a result including an indication of the at least one test to remove.

Abstract: A system and computer-implemented method for optimizing operations of a facility having a number of associated vehicles providing point-to-point transportation of deliverables. The vehicles may comprise autonomous operations directed by a processor. The deliverables may comprise materials or components for facility operations. The facility may be able to dynamically adapt to changes in environment or operational demands.

Abstract: A system and method for managing a supply chain for distributing products integrates inventory control with packaging optimization. Historical demand data, cost and dimension data for products, containers, and shipping vessels is obtained, and a plurality of layout configurations for packing the products into the containers is determined. Based on the historical demand data and the cost and dimension data, an optimization model is used to determine (i) a layout configuration for the packing the products in the containers from amongst the plurality of layout configurations, and (ii) a shipment frequency for shipping containers packed according to the determined layout configuration. The optimization model is configured to minimize a cost of distributing products in the supply chain.

Abstract: A system and method for managing a supply chain for distributing products integrates inventory control with packaging optimization. Historical demand data, cost and dimension data for products, containers, and shipping vessels is obtained, and a plurality of layout configurations for packing the products into the containers is determined. Based on the historical demand data and the cost and dimension data, an optimization model is used to determine (i) a layout configuration for the packing the products in the containers from amongst the plurality of layout configurations, and (ii) a shipment frequency for shipping containers packed according to the determined layout configuration. The optimization model is configured to minimize a cost of distributing products in the supply chain.

Abstract: A method for operating a motor vehicle includes providing route segments of a route ahead of the vehicle that is most likely to be traveled as well as route parameters associated with the route segments, dividing the route ahead of the vehicle that is most likely to be traveled into sub-segments, optimizing the setpoint speeds at the segment boundaries of the sub-segments with respect to a specified target function, interpolating the setpoint speeds obtained at the positions of the segment boundaries to obtain a characteristic curve of the setpoint speed, and operating the motor vehicle based on a specification of the characteristic curve of the setpoint speed.

Abstract: A method for operating a motor vehicle includes providing route segments of a route ahead of the vehicle that is most likely to be traveled as well as route parameters associated with the route segments, dividing the route ahead of the vehicle that is most likely to be traveled into sub-segments, optimizing the setpoint speeds at the segment boundaries of the sub-segments with respect to a specified target function, interpolating the setpoint speeds obtained at the positions of the segment boundaries to obtain a characteristic curve of the setpoint speed, and operating the motor vehicle based on a specification of the characteristic curve of the setpoint speed.