An optimization device is applied to a production line in which multiple production devices respectively execute a production process. The optimization device includes a cycle time setting section configured to set a cycle time for each production device, a target time setting section configured to set a target time based on a cycle time and a time required for periodic operation in each of multiple production devices except for the component mounter, and a line design section configured to calculate the unit number of the component mounters constituting the production line based on the target time.

Methods and systems are disclosed for simulating a fabrication process based on real time sensor measurements obtained during the process. In one embodiment, a first simulation of the process computes a set of predicted physical responses based on a first set of assumed boundary conditions, and then, during the fabrication process sensor measurements are obtained and used to compute a second set of boundary conditions. A second simulation, based on the second set of boundary conditions, can then be performed to compute an updated set of predicted physical responses that can be compared to the previously computed set of physical responses. The difference(s) can be used to determine line, surface or volumetric response distribution from point, line or surface boundary conditions respectively, whether and how to modify the fabrication process (or other processes) and how to take additive and other manufacturing process decisions real-time using simulation. Other examples are also described.

A system and method are provided for instructing users on the fabrication of a volumetric module. Aspects thereof comprise receiving project documents related to fabrication of a volumetric module, generating fabrication information for instructing users on fabrication of the volumetric module, storing the fabrication information, creating a mesh network of actionable links based on parametric relationships comprising an intuitive, navigable mapping for accessing the stored fabrication information, providing a user interface to interact with the intuitive, navigable mapping to perform any one or more of (i) accessing the fabrication information to perform one or more steps in the fabrication of the volumetric module, and (ii) providing feedback regarding the fabrication information to facilitate review and updating to the fabrication information, and continuously updating the stored fabrication information and mesh network.

A packaging system according to an aspect is a packaging system formed by connecting an external server to a plurality of packaging apparatuses via a network. The external server stores control parameters for the packaging apparatuses to package an article to be packaged in an optimal state. The packaging apparatus communicates with the external server, downloads necessary control parameters, and controls a packaging operation by using the downloaded control parameters. Accordingly, a setting operation performed in each of the packaging apparatuses can be significantly reduced.

An optimization device is applied to a production line in which multiple production devices respectively execute a production process. The optimization device includes a cycle time setting section configured to set a cycle time for each production device, a target time setting section configured to set a target time based on a cycle time and a time required for periodic operation in each of multiple production devices except for the component mounter, and a line design section configured to calculate the unit number of the component mounters constituting the production line based on the target time.

This present disclosure provides a method for automatic production line planning based on an Industrial Internet of Things, a system and a storage medium. The method comprises: an instruction generation module configured to generate an adaptation instruction based on production item data; a production adaptation module configured to generate a target adaptation scheme; and obtain an adaptation result by adapting the plurality of target production lines; wherein the production adaptation module is further configured to: obtain a production line code corresponding to each target production line; obtain a process code corresponding to each production process; construct a plurality of initial adaptation schemes; and perform multiple rounds of iterative updates to determine the target adaptation scheme; a feedback module configured to determine feedback results according to the adaptation results; and a process configuration module configured to perform process configuration on the plurality of target production lines to obtain the production line.

An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitated improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Methodologies and a device for simulating individual process steps and producing parameters representing each individual process signal profile are provided. Embodiments include collecting, by way of a programmed processor, wafer level data in the form of electrical signatures during processing steps in the production of a semiconductor device; converting the electrical signatures during each of the processing steps into signal matrix (MS) modeling parameters; comparing the MS modeling parameters to predefined MS modeling parameters; and adjusting at least one processing step based on a result of the comparing step for process control.

Proposed is system and method for modular control system providing a dynamically adaptive process control of a process line of a plant in a Machine-to-Machine network. The process line of the plant comprises a plurality of distributed machine control system with one or more elements interlocked to one or more operational unit of the process line. The operation of an operational unit performing a physical function within the process line is controlled by an associated machine control system by means of the elements interlocked to the operational units. The interlocked elements at least comprise IO-interfaces and actor control devices.

A manufacturing matrix can include a plurality of work cells. The manufacturing matrix can include a plurality of robotic arms disposed in the plurality of work cells to produce a construction product. The manufacturing matrix can include a storage location to store inventory including at least one of the material, the tool, the subassembly of the construction product, or a completed construction product. The manufacturing matrix can include a transportation system to move the inventory within the manufacturing matrix. The manufacturing matrix can include a data processing system communicably coupled with the plurality of robotic arms and the transportation system. The data processing system can provide a first instruction to a first robotic arm cell and a second instruction to a second robotic arm of the second work cell.