A numerical control system diagnoses and maintains a numerical control machine tool by measuring backlash and downloading a backlash correction value to the numerical control machine tool. The system includes a host computer device that downloads a monitor management program to a numerical controller of the numerical control machine tool, collects numerical control information input/output between the numerical controller and a servomotor, analyzes the numerical control information, and diagnoses the numerical control machine tool.

A system and a method for executing a work process on an object. The system includes at least one work station, an acquisition device, a control device and an auditor device.

A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.

Methods and systems for monitoring a brush holder assembly and/or detecting wear of a brush in a brush holder assembly are disclosed. One method includes sending data from a plurality of remote monitoring locations to a central control unit, where the data may be evaluated in order to monitor states of brushes at a plurality of remote electrical facilities. For example, multiple images of a marker tracking longitudinal movement of the brush may be acquired. A comparison of the images, for example, a comparative imaging technique, such as pixel-by-pixel comparison, may then be performed in order to evaluate a condition of the brush, such as the wear rate, wear state, or life expectancy of the brush.

An information processing apparatus includes a processor configured to: extract, as an inspection target item, product manufacturing information needed for inspection from three-dimensional model data including the product manufacturing information needed when a molded product is manufactured; and decide an inspection method to be used for inspection as to the product manufacturing information as the inspection target item according to information related to the extracted product manufacturing information.

A production efficiency improvement support system calculates a cycle time erc. based on results of detecting an operating status of production equipment, and displays a chart showing a time series variation of the cycle time etc. The cycle time is displayed such that a variation of the cycle time is visually recognizable. The chart displays information regarding a production volume that is the most important variable in production management on a first row and a second row from the top, and displays information regarding the operating status of the production equipment related to the production volume on bottom two rows (a fourth row and a fifth row). The chart also displays the operating status of the production equipment between these pieces of information. Displaying these indexes in the form of a chart facilitates visual recognition of how to improve the cycle time and effectively supports improvement of the production efficiency.

Disclosed is a system and method to track the consumption and use period of various consumable and/or durable welding-type products via tracking the consumption and/or use of various other consumable and/or durable welding-type products. The system and method may provide alerts when the use period of a consumable and/or durable welding-type product satisfies a threshold and therefore should be replaced.

A method and a system for controlling a lot risk score based dynamic lot measurement on the basis of equipment reliability index are provided. The method for controlling a measurement, according to an embodiment of the present invention, calculates an equipment reliability index of specific equipment for a specific process in semiconductor manufacturing, calculates a risk score of the specific equipment for the specific process on the basis of an equipment reliability index, and determines, on the basis of the risk score, whether to measure a semiconductor product processed by the specific equipment for the specific process. Therefore, differential quality monitoring and management is possible according to the equipment reliability index, a measuring instrument can be efficiently used, quality and yield can be improved through timely measurement, and management convenience can be increased through automatic and dynamic lot measurement control.

An information processing apparatus includes processing circuitry configured to: acquire, from each of a plurality of electric power tools, position information of each of the plurality of electric power tools and actuation information indicating that each of the plurality of electric power tools is actuated; generate work information indicating a work status of each of the plurality of electric power tools based on the actuation information, the work status including a actuation history of each of the plurality of the electric power tools; receive designation of a region; extract, from among the plurality of electric power tools, an electric power tool of which the position information is included in the designated region; generate display data for causing a display device to display the work information of the extracted electric power tool; and output the display data.

A production efficiency improvement support system calculates a cycle time erc. based on results of detecting an operating status of production equipment, and displays a chart showing a time series variation of the cycle time etc. The cycle time is displayed such that a variation of the cycle time is visually recognizable. The chart displays information regarding a production volume that is the most important variable in production management on a first row and a second row from the top, and displays information regarding the operating status of the production equipment related to the production volume on bottom two rows (a fourth row and a fifth row). The chart also displays the operating status of the production equipment between these pieces of information. Displaying these indexes in the form of a chart facilitates visual recognition of how to improve the cycle time and effectively supports improvement of the production efficiency.