A method for custom logic engineering in an industrial modular plant executing a production process includes receiving process data for the production process using at least one physical process module; determining a custom process topology by selecting, based on the received process data, at least one module type package, MTP; correlating to the at least one respective physical process module from a database, wherein the module type package is a digital representation of the respective physical process module; selecting at least one extender unit from the database based on the received process data; representing a logical function of the production process; determining connections between the extender unit(s) and the at least one MTP; setting properties of the extender unit(s) based on the received process data; and determining an extended control scheme for controlling dynamic behavior of the production process using the determined custom process topology.

Methods, systems, and computer readable medium for a multi-source item creation system. The method includes receiving, through a user interface and from a requesting member of a digital platform, manufacturing parameters for an item to be manufactured, dynamically altering the user interface based on the manufacturing parameters to include different user interface elements that correspond to a subset of attributes, determining, based on interaction with the different user interface elements, additional manufacturing parameters, generating, using one or more machine learning models, a set of manufacturers based on the manufacturing parameters and the additional manufacturing parameters, wherein the one or more machine learning models have been trained to generate the set of manufacturers based on a level of uniqueness of the item to be manufactured and characteristics of the manufacturers, and returning, to the requesting member, a subset of the set of manufacturers.

In an aspect a system for selecting a plurality of entities to manufacture an object. A system includes a computing device. A computing device is configured to receive one or more files providing a design of an object to be manufactured. A computing device is configured to identify a first comprehensive process for manufacturing an object using a first exterior element. A computing device is configured to identify a second comprehensive process for manufacturing an object using a second exterior element. A computing device is configured to communicate a first comprehensive process and a second comprehensive process to one or more third parties. A computing device is configured to receive a first exterior element dataset and a second exterior element dataset. A computing device is configured to generate an objective function. A computing device is configured to provide a selection of a process.

A workpiece collecting point unit for a machine tool, in particular for a flatbed machine tool, such as a laser cutting or punching flatbed machine tool, has a placing area for workpieces produced by the machine tool within the framework of a processing plan, a display unit adapted to display information about the workpieces, which are to be further processed and were placed on the placing area, to an operator, and a signal device adapted to output an identification signal indicating to an operator the location of the selected workpiece collecting point unit for placing the workpiece, which is to be further processed, on the placing area. The workpiece collecting point unit can be used inter alia in a process to support a sequence of processing steps for processing workpieces.

An interior localization system for manufacturing control, with multiple, fixedly installed transceivers for determining the position of multiple mobile units, the position being determined in particular by evaluating the runtime of electromagnetic (radio) signals. The interior localization system is used to associate one of the mobile units to a person in an industrial manufacturing plant that processes steel and/or sheet metal, to determine the position of the associated person by localizing the associated mobile unit using the interior localization system and to integrate the interior localization system into a manufacturing control system of the industrial manufacturing plant.

A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.

Disclosed are a self-adaptive configuration method and system for linkage response of a construction type, a motion type, a control type and an optimization type. The disclosure aims to provide the self-adaptive configuration method and system for linkage response of quick adjustment and design of a workshop production line. The self-adaptive configuration method comprises the following steps of step A: construction type configuration; step B: motion type design; step C: control type design; and step D: optimization type evolution, wherein the step D comprises first-level iterative optimization, second-level iterative optimization and third-level iterative optimization. A closed optimization cycle is formed by the first-level iterative optimization, the second-level iterative optimization and the third-level iterative optimization jointly, and the multi-level iterative optimization is performed on the production line linkage design framework, so that the workshop production line can be self-adaptively and quickly adjusted and designed.

The present disclosure relates to a computer-implemented method for customizing an automated product manufacturing process. It further relates to a robotic manufacturing system for manufacturing a product based on a fabrication model generated by means of the aforementioned computer-implemented method. One embodiment relates to a computer-implemented method for customizing a parametric design and manufacturing process of a physical product, the method comprising the steps of: obtaining a configurable parametric 3D product model representing a template of the physical product; customizing by a user the parametric 3D product model to provide a product instance describing the desired geometry of the physical product; automatically updating a fabrication model based on the parametric 3D product model; and optionally submitting the fabrication model to a manufacturing machine for fabricating the physical product or a mould for the physical product.

A management device includes: a storage unit; a first receiving unit; a communication unit; and a management control unit configured to perform setting control for transmitting a control parameter and device identification information corresponding to the reservation number to each article processing device, which is identified based on the device identification information via the communication unit, when a reservation number is received by the first receiving unit, and to perform storage control for storing adjustment information of a changed control parameter in the storage unit in association with the device identification information and the reservation number when the control parameter transmitted to each of the article processing devices is changed in each of the article processing devices.

An information processing apparatus includes a processing portion configured to perform information processing. The processing portion is configured to obtain definition information in which a first mnemonic and a second mnemonic different from the first mnemonic are associated with each other.