A method controls sheet metal processing of a sheet metal component to be manufactured with a plurality of processing steps. The method includes: A) reading in machine tool data and data of the sheet metal component to be manufactured, which includes (in any order): a) reading in the processing steps of the sheet metal component to be manufactured; b) reading in property parameters of the sheet metal component to be manufactured; c) reading in at least one basic processing capability of the machine tools; and d) reading in capability parameters of the machine tools. The method also includes B) creating a machine tool matrix made from machine tools suitable for manufacturing the sheet metal component; C) determining an optimized processing sequence in a form of a sequence of machine tools from the machine tool matrix; and D) outputting the optimized processing sequence.

A system for controlling a production plant includes a plant automation unit for monitoring and control of the production process within the production plant. A production planning system has information concerning the products to be produced. A model generator generates at least one prediction model for products produced in the production plant. The model generator takes into account the results of the monitoring of the production plant when generating the at least one prediction model. A production optimizer determines an optimized production process within the production plant on the basis of data from the plant automation unit, the production planning system, and the prediction model generated by the model generator. The production optimizer takes into account the production-related specifications of the individual plant parts. A production plant control unit generates target specifications for the plant automation unit on the basis of the optimized production process determined by the production optimizer.

A manufacturing support system may be provided. The manufacturing support system may comprise: an obtaining unit (IO) configured to obtain object data of an object to be manufactured; an artificial intelligence, Al, engine (20) configured to receive the object data as an input and to determine a hardware configuration of a manufacturing system for manufacturing the object with reference to information relating to available hardware for the manufacturing system; and an output unit (60) configured to output the determined hardware configuration.

The system performs a process for creating robotic control code for manufacturing products. A Designer UI displays virtual parts and receives inputs for processing and assembling the virtual parts that are required to create a virtual product. The designer identifies options for processing and assembling the virtual parts which are displayed on the user interface. The robot abilities and the options are selected to optimize a metric of the product manufacturing. The inventive toolset produces the robot control codes for performing a sequence of robotic abilities with the selected options to product the product. The robot control codes are used by a simulator which manipulates virtual robots and virtual parts to create a virtual product to check the robot control code. The verified robot control code is used to control real robots to create the product.

An automated manufacturing system and method is provided. The system includes a software system and a production system. The software system includes a design module, an engineering module, and a manufacturing module for the design, engineering, and subsequent production of a prefabricated building product. The production system includes a matrix of cells and a plurality of robotic production units configurable with a plurality of production tools. The matrix includes a number of columns and a number of rows, each column representing a product to be worked on and each row representing a type of work to be performed on each product. The system processes a building model and configures each cell to perform specific work with one or more robotic production units and one or more production tools. A prefabricated building product is built in stages as it moves from cell to cell.

A design and manufacturing system includes a multi-axis machine tool including a cutting head able to support a plurality of available tools and a part support, the cutting head and part support fully controllable in at least two axes, a design system operable using a computer to generate a 3-D model of a part to be manufactured, and a machine learning model operable using the computer to analyze the part to be manufactured to identify features and develop a manufacturing plan at least partially based on the multi-axis machine tool and the plurality of available tools, the manufacturing plan including a type of tool used for each feature, a feed-rate for each type of tool for each feature, and a speed of the tool for each type of tool for each feature.

An automated manufacturing system and method is provided. The system includes a software system and a production system. The software system includes a design module, an engineering module, and a manufacturing module for the design, engineering, and subsequent production of a prefabricated building product. The production system includes a matrix of cells and a plurality of robotic production units configurable with a plurality of production tools. The matrix includes a number of columns and a number of rows, each column representing a product to be worked on and each row representing a type of work to be performed on each product. The system processes a building model and configures each cell to perform specific work with one or more robotic production units and one or more production tools. A prefabricated building product is built in stages as it moves from cell to cell.

The system performs a process for creating robotic control code for manufacturing products. A Designer UI displays virtual parts and receives inputs for processing and assembling the virtual parts that are required to create a virtual product. The designer identifies options for processing and assembling the virtual parts which are displayed on the user interface. The robot abilities and the options are selected to optimize a metric of the product manufacturing. The inventive toolset produces the robot control codes for performing a sequence of robotic abilities with the selected options to product the product. The robot control codes are used by a simulator which manipulates virtual robots and virtual parts to create a virtual product to check the robot control code. The verified robot control code is used to control real robots to create the product.

An automated manufacturing system and method is provided. The system includes a software system and a production system. The software system includes a design module, an engineering module, and a manufacturing module for the design, engineering, and subsequent production of a prefabricated building product. The production system includes a matrix of cells and a plurality of robotic production units configurable with a plurality of production tools. The matrix includes a number of columns and a number of rows, each column representing a product to be worked on and each row representing a type of work to be performed on each product. The system processes a building model and configures each cell to perform specific work with one or more robotic production units and one or more production tools. A prefabricated building product is built in stages as it moves from cell to cell.

An industrial control design and testing system supports emulation of a 2D representation of control system wiring between an industrial controller and field hardware. The design and testing system can simulate wiring diagrams to virtually confirm connectivity between the controller and the I/O devices in the field. This approach can also confirm wiring connections that do not pass through the controller, including emergency stop pushbuttons or other electrical connections that do not feed back into the controller.