Method and system for optimizing the arrangement of a set of aircraft parts on a plate. The system includes a selection module which selects, from a set of data on the material of the set of parts and a set of geometric data associated with the set of parts, part grouping criteria including at least one optimized plate thickness value, an optimization module for optimizing the arrangement of the set of parts on a plate as a function of the part grouping criteria, cutting criteria and optimization criteria and a transmission module generating and transmitting, to a user system, optimization data representative of the optimization of the arrangement of the set of parts. The system makes it possible to take account of the parameters linked to the dimensions of the plate to optimize the arrangement of the set of parts.

A method for the optimized use of a parking area. Vehicles which are to be parked on the parking area are each assigned a parking space, the vehicles navigating to the respective assigned parking space, in particular autonomously. Furthermore, vehicles may carry out a change of the parking space in order to enable an improved use of the available parking area or a faster availability of the vehicle, whereby overall an optimized use of the parking area is achieved. Initially, an available range of the respective vehicles is ascertained, and the assignment of the respective parking space and/or a possible change of the parking space are made dependent on the available range of the individual vehicles. The available range of a vehicle is in particular described by a residual fuel amount or a charge state of the vehicle.

A nesting and shear cutting preprocessing method for a defective plate, comprising the following steps: acquiring plate information of a plate, wherein the plate information includes defect information and plate dimension information; making an electronic defect map according to the defect information and the plate dimension information, and partitioning out a region available for nesting and shear cutting; and partitioning the plate to obtain small plates according to the region available for nesting and shear cutting. A nesting and shear cutting layout method for a defective plate, a nesting and shear cutting production optimization method for a defective plate, and a system, a computing device, a storage medium therefor. The preprocessing method and the system can reduce the scrap rate of plate processing.

A method for optimizing production of sheet-metal parts, the production comprising cutting out and singularizing the sheet-metal parts and bending the sheet-metal parts, wherein the method includes: (A) training a neural network, which is executed on a Monte Carlo tree search framework, by means of supervised learning and self-play with reinforcement learning; (B) recording constraints for the sheet-metal parts, the constraints comprising geometric data of the sheet-metal parts; (C) creating an optimized production schedule by way of the neural network; and (D) outputting the production schedule.

A method for determining a set of output configuration values characterizing a specific configuration of a complex product, includes receiving a set of input configuration parameters, providing at least a part of the input configuration parameters as an input to a solver, using the solver to calculate at least one output value from the provided input configuration parameters, and determining the set of output configuration values from at least the output value calculated by the solver. The solver is configured for solving a first order logic function encoding an algorithm of a trained deep neural network or DNN, wherein the algorithm of the DNN has been trained for modeling a function of an external configuration tool or ECT that is required for determining the specific configuration of the complex product. A system for determining the set of output configuration values, and a training system, are also provided.

The present disclosure is directed, in part, to improving existing technologies by selecting a configuration for an asset array based on features of both the assets and a loading area. In order to select the configuration, a plurality of configurations may be generated and scored. The scores may be based on any number of factors, such as the number of return trips required, the time required to deliver all packages, or another aspect of asset loading and/or delivery. Based on the scores, a particular configuration is selected for the asset array. Instructions are provided for loading the vehicle in accordance with the set of loading area arrangements associated with the selected configuration, such as step-by-step instructions for loading each asset in a particular position and orientation may be provided to a computing device.

A pallet building apparatus for automatically building a pallet load of pallet load article units onto a pallet support including a frame defining a pallet building base, at least one articulated robot to transport and place the pallet load article units, a controller to control articulated robot motion and effect therewith a pallet load build, at least one three-dimensional, time of flight, camera to generate three-dimensional imaging of the pallet support and pallet load build, wherein the controller registers, from the three-dimensional camera, real time three-dimensional imaging data embodying different corresponding three-dimensional images of the pallet support and pallet load build, to determine, in real time, from the corresponding real time three-dimensional imaging data, a pallet support variance or article unit variance and generate in real time an articulated robot motion signal, the articulated robot motion signal being generated real time so as to be performed real time by the at least one articulated robot between placement of at least one pallet load article unit and a serially consecutive pallet load article unit enabling substantially continuous building of the pallet load build.

There is provided an information processing apparatus for efficiently processing various products. The information processing apparatus includes a determiner that receives signals from sensors respectively provided in a plurality of machine tools, determines operation statuses of the plurality of machine tools, and derives a plurality of usable machine tools, a receiver that receives product specifying data for specifying a product to be manufactured, a decider that decides, based on the product specifying data, a necessary machine tool required to process the product, and a presenter that searches for the necessary machine tool from the plurality of usable machine tools, and presents information concerning a use machine tool as a search result.

A dynamic optimization method for procurement specifications of BEF raw materials includes: obtaining finished product data; obtaining an initial feasible raw material size set; mapping the initial feasible raw material size set in length and width directions to obtain a complete feasible raw material size set; filtering an unreasonable raw material size out of the complete feasible raw material size set to obtain a final feasible raw material size set; and determining whether a scale of the final feasible raw material size set is larger than a threshold, if not, building and solving an integer programming model, and outputting results; and if yes, batchwise processing the final feasible raw material size set to obtain multiple subsets, and building an integer programming model for each subset, and solving the integer programming model, and outputting results. A dynamic optimization system of BEF is further provided.

A system optimizes the organization of components for the manufacture of wood products. The system includes memory devices and processing devices operatively coupled to the memory device, wherein the one or more processing devices are configured to execute computer-readable computer program code to receive a plurality of job orders for distinct wood products having varying components; optimize cutting of all components for the plurality of job orders to minimize waste of source materials, thereby resulting in a plurality of components for the plurality of job orders; track each component electronically in order to identify each component at a final cutting machine location; and affix a unique indicator on each component indicating both a receptacle and a receptacle portion corresponding to each component, thereby optimizing organization of all the components by at least one of job, distance from machine to receptacle, and distance from receptacle to assembly location.