A control apparatus that controls a plurality of robots, includes a failure prediction part that predicts a time of failure with respect to each component of the robots, a maintenance time adjustment part that adjusts maintenance times of the plurality of robots based on the components for which the times of failure are predicted, and a load adjustment part that adjust workloads of the robots according to the predicted times of failure for activation until the maintenance times.

A maintenance control program for use in maintaining mechanical and electro-mechanical equipment is provided. The maintenance control program includes a completed survey of the mechanical and electro-mechanical equipment. The completed survey is configured to document the physical characteristics of the mechanical and electro-mechanical equipment and an assessment of a plurality of metrics concerning the mechanical and electro-mechanical equipment. An algorithm is configured to apply values to the assessment of the plurality of metrics. A schedule of code required maintenance tasks is developed for the mechanical and electro-mechanical equipment, wherein an interval of the required maintenance tasks is determined by the algorithm based on the values applied to the assessment of the plurality of metrics.

Methods, systems, and computer-readable storage media for receiving a time-series of data values associated with a plurality of sensors, each sensor generating at least a portion of the time-series of a respective data value, providing a plurality of auto-regression models, each auto-regression model being provided based on a respective first sub-set of the time-series of data values used as input, and a respective second sub-set of the time-series of data values used as training data during a training process, receiving respective data values associated with a time from and generated by each of the plurality of sensors, determining respective predicted values for each of the auto-regression models, and selectively indicating that an anomaly is present in the system based on respective predicted values for each of the auto-regression models, and the respective data values associated with a time.

Provided is a prediction device, to which one or more wire electrical discharge machines are connected, the one or more wire electrical discharge machines each performing machining on an object to be machined according to a predetermined machining condition while moving a wire electrode relatively with respect to the object to be machined along a machining path, the prediction device including a prediction unit that predicts, for a predetermined component constituting the wire electrical discharge machine, a predicted rate of consumption indicative of a rate of consumption based on the machining condition when the wire electrode is moved relatively by a unit distance, and a display unit that displays the predicted rate of consumption of the component.

This machine tool system uses a plurality of mobile robots to convey workpieces to a plurality of machine tools, the machine tool system being provided with: machine tool control unit that issues work requests to the machine tools; a mobile robot control unit that determines workable times for the mobile robots on the basis of the work requests; and a determining unit that compares the workable times which are for the mobile robots and respectively planned by the mobile robots, and causes the mobile robot with the fastest workable time to execute the requested work.

A substrate processing system having a plurality of substrate processing apparatuses, a host control apparatus, and a management apparatus is provided. The management apparatus determines a substrate processing apparatus that needs maintenance processing, based on operation information collected from each of the substrate processing apparatuses, and notifies a determination result to the substrate processing apparatus determined to need the maintenance processing. Each of the substrate processing apparatuses transmits information for executing the maintenance processing to the host control apparatuses upon receiving the determination result. The host control apparatus monitors an operation state of each of the substrate processing apparatuses, and, based on the operation state of the substrate processing apparatus that transmitted the information for executing the maintenance processing, controls a timing of performance of the maintenance processing with respect to the substrate processing apparatus.

A manufacturing management device includes a determination section configured to determine the necessity of maintenance on any of the multiple production devices during production by the production line; and a conveyance management section configured to stop loading circuit boards, at a predetermined time, onto a reference device among the multiple production devices when it is determined that maintenance is necessary, the reference device being positioned upstream in the production line from a maintenance target device having a cause for maintenance.

Provided is a maintenance operation assistance system comprising: a failure knowledge database wherein failure knowledge data is recorded; a failure knowledge coupling unit for reconstructing partial failure knowledge data into failure knowledge data; and an inspection procedure generation unit for presenting an inspection procedure using the reconstructed failure knowledge data. The failure knowledge coupling unit evaluates and adjusts the relatedness of nodes among different instances of partial failure knowledge data, and connects the different instances of partial failure knowledge data. On the basis of the reconstructed failure knowledge data, the inspection procedure generation unit sets priorities for when presenting the inspection procedure, and presents the inspection procedure to a diagnostic interface unit in accordance with the priorities.

The disclosure provides a method of an appliance, including receiving prediction information indicating a predicted failure of the appliance, obtaining a schedule for which use of a repair service for repairing the predicted failure based on the prediction information is available, transmitting a signal for requesting maintenance information used to delay the predicted failure and maintain a normal operation of the appliance if the obtained schedule is after a predicted failure time point indicated by the prediction information, receiving the maintenance information, and operating based on the maintenance information.

A CPU unit is a life prediction device for a fan. The CPU unit includes a temperature calculation unit to calculate internal temperature of the CPU unit on the basis of at least one of the utilization of the CPU unit, the temperature a CPU, and the rotation speed of the fan; and a storage unit to store fan life data that indicates the life of the fan relative to temperature. A control unit includes a life prediction unit to calculate remaining life expectancy of the fan on the basis of the fan life data and the internal temperature calculated by the temperature calculation unit.