An information collection device comprising circuitry configured to: accumulate, in a database, a control signal of a local device having a motor, the local device being a part of a production system of one or more workpieces, the control signal including internal information of the local device generated during operation of a plurality of processes; extract a signal set accumulated during one process of the plurality of processes from the control signal accumulated in the database based on a predetermined extraction condition; and generate an evaluation result of the one process based on the signal set.

A system and method control at least one rig by receiving key performance indicator (KPI) data of the at least one rig among a set of rigs, including at least one of flat time performance data, rig lost time performance data, health-safety-environment data, and local labor data. The KPI data is processed to determine at least one of a flat time score, a rig lost time score, a health-safety-environment score, and a local labor score as KPI scores. A rig efficiency index (REI) is determined from a weighting of the KPI scores. A control signal based on the REI is determined to control a first rig among the set of rigs.

A metal fabrication resource performance monitoring method includes collecting data representative of a parameter sampled during one or more metal fabrication operations of one or more metal fabrication resources, the one or more resources being selectable by a user from a listing of individual and groups of resources, receiving event data comprising a time that an event occurred, via at least one computer processor, determining a first analyzed system parameter from the collected data, via the at least one computer processor, populating a dashboard page with graphical indicia representative of the first analyzed system parameter before and after the event, and transmitting the dashboard page to a user-viewable display.

System and methods are disclosed for improving manufacturing processes, improving manufactured products, and improving deployed devices. The devices can be reconfigurable holographic antennas (“antennas”). Manufacturing test results for a plurality of antennas is collected. Field performance data and antenna management information is collected for a plurality of deployed antennas. Query selection criteria, machine learning correlation criteria and a minimum correlation threshold are passed to a server to query for matching records from a data store and to perform machine learning on the query results to generate improvements to processes, manufactured antenna performance and deployed antenna performance.

A system includes a computer numerical control (CNC) machining system configured to perform a machining operation to define a feature on a workpiece and a machine edge controller disposed external of the machining system and in communication with the CNC machine system. The machine edge controller is configured to perform a machining evaluation during the machining operation. In executing the machining evaluation, the machine edge controller is configured to acquire data indicative of characteristics of the CNC machining system during the machining operation and compare the data with one or more machining baseline parameters associated with the machining operation to determine an abnormal operation of the CNC machining system. The one or more machining baseline parameters define a nominal response of the CNC machining system for performing the machining operation.

An information processing device includes circuitry. The circuitry extracts input items from operation plan information and receive sensor data indicating operation progress. The sensor data is added with data used for determining an operation type. The circuitry further detects an input item from the extracted input items based on the data added to the sensor data, and inputs the sensor data to the detected input item.

A method of evaluating factory production machinery up time and down time performance provides a collection of sensors in individual communication with factory production machinery, with each sensor collecting high frequency vector data as respecting a physical parameter associated with the machinery, extracts the data from the sensors to produce a sensor data set, transforms the data set into the frequency domain, extracts statistical and mathematical information from the data set, transfers the data set, to an associated edge cloud, and within the associated edge cloud processes the data set to provide a repair, maintenance and operation board for the machinery to evaluate up time and down time performance for the factory production machinery.

A display device that displays productivity of a manufacturing facility that performs processes to manufacture products, wherein the manufacturing facility includes constituent element groups, each including constituent elements, constituent elements selected from the constituent element groups perform a corresponding one of the processes. The display device includes: an obtainer that obtains manufacturing log information from the manufacturing facility; a calculator that calculates an indicator showing productivity of each combination of a first constituent element and a second constituent element, based on the manufacturing log information; and a display that displays the indicator showing the productivity of each combination at a position of an intersection point corresponding to the combination on a productivity indicator map including a vertical axis along which first constituent elements are arranged and a horizontal axis along which second constituent elements are arranged.

A method for managing motion information is provided. The method obtains a motion document of a first operation target. The motion document of the first operation target recording information of motions of the first operation target. The method generates guiding information according to the motion document of the first operation target. The guiding information is configured to guide motions of second operation targets. The method obtains motion images of each second operation target. The method identifies information of motions of each second operation target from the motion images of each second operation target. The method further determines a pass rate of the motions of each second operation target according to the information of the motions of the first operation target and the information of the motions of each more second operation target. A related electronic device and a related non-transitory storage medium are provided.

Determining compatible equipment in a manufacturing environment is disclosed. A method includes developing a list of compatible equipment for a manufacturing line to produce a product based on process information related to the product. The list of compatible equipment and a manufacturer constraint are modeled. Modeling includes at least one of developing manufacturing line scenarios, simulating the manufacturing line scenarios, and weighing the simulations against production metrics.