The substrate processing management system for a substrate processing line including a defect tallying section to calculate a defect rate representing a rate of occurrence of substrates or electronic components determined to be defective with the substrate inspection machine, or obtain a number of defective products having substrates or electronic components determined to be defective; an attribute change recognition section to recognize when an attribute, among the attributes of the electronic component, having a possibility of affecting the inspection, has changed in the component mounting machine; a fault point estimation section to estimate, when the defect rate or the number of defective products exceeds a predetermined value, which of the component mounting machine or the substrate inspection machine is a fault point depending on whether an attribute has changed; and a countermeasure calling section configured to call for a defect countermeasure to the estimated fault point.

A soldering apparatus comprises a soldering mechanism and a management unit. The management unit converts operation history of the soldering mechanism into a numerical value, compares the numerical value to a predetermined threshold value, and generates a notifying signal if the numerical value exceeds the predetermined threshold value. The notifying signal may result in cessation of operation of the soldering mechanism. The notifying signal may result in a visual and/or audio reminder to the operator to inspect or replace a part of the soldering mechanism. With the management unit, the operator need not guess or rely on personal experience to determine when to perform an inspection or replacement. Reliance on personal experience can be error prone and lead to inefficiency. The management unit may reduce the possibility of soldering with a degraded soldering tip or other part, which may have an adverse effect on soldering quality.

The disclosed system generally comprises a damping module, a pressing module, a placement platform for placement of the multiple stacked planar objects and a compensatory mechanism engaging to the damping module. Particularly, the damping module includes a damper, a resilient component and an elongate support which are all arranged within a holder. Each of the stacked planar objects has a top planar surface and an underside planar surface as well as carries a plurality of corresponding holes, which become aligned accordingly to form a plurality of longitudinal grooves upon placement onto the platform. The head portion of the damper is substantially aligning with the positioned groove and abutting onto the underside surface of the bottommost stacked object. The compensatory mechanism is capable of adaptively adjusting position of the head portion of the damper in relation to the pressing ram at the vertical and/or horizontal plane.

In the case where multiple individual work devices respectively executing a sequence of multiple tasks are controlled in an integrated manner by an integrated control device, log analysis among the multiple individual work devices is difficult. One of four individual work devices transmits time inquiry signal to main integrated control device via serial communication cable. Main integrated control device returns the time at time at which time inquiry signal was received to the one of four individual work devices to which time inquiry signal was transmitted. One of four individual work devices receives a reply from main integrated control device at time, adds the communication time to the time at time, and calculates the time at time. One of four individual work devices starts the calculation of the in-device time from calculated time as a starting point. One of four individual work devices logs based on in-device time.

A feeder maintenance device cleans specified sections including a feeding mechanism of a feeder using cleaning sections, and measures backlash of the feeding mechanism using a backlash inspection section. In this manner, because the feeder maintenance device performs cleaning of the feeder, compared to an operator performing cleaning, it is possible to curtail variance in a quality of maintenance. Also, because the feeder maintenance device measures the backlash of the feeding mechanism, it is possible to reliably perform maintenance related to the feeding mechanism of the feeder.

A pick and place nozzle performance analytics system streams production data from pick and place machines used in electronic assembly to a cloud platform as torrential data streams, and performs analytics on the production data to track, visualize, and predict performance of individual nozzles in terms of rejects or miss-picks. The analytics system generates a performance vector for each nozzle based on the collected production data, the performance vector tracking both the accumulated rejects and the percentage of rejects as respective dimensions of an x-y plane. The system monitors and analyzes the trajectory of this vector in the x-y plane to predict when performance degradation of the nozzle will reach a critical threshold. In response to predicting that nozzle performance degradation will exceed a threshold at a future time, the system can generate and deliver notifications to appropriate client devices.

A feeder maintenance apparatus that acquires feeder information from a feeder which is mounted on a feeder mounting section, and controls a cleaning section to clean a sprocket section of the feeder, a feeding roller, a first gear mechanism, and a second gear mechanism, based on the feeder information. The feeder maintenance apparatus controls lubricant supply sections to supply a lubricant to a driving section of the feeder based on the acquired feeder information.

A maintenance management device which individually manages maintenance times at which to perform maintenance using a plurality of constituent elements, which are equipped in an exchangeable manner to a plurality of equipment positions of a component mounting machine to operate, as management targets, and the maintenance management device includes a remaining operation number calculating section which calculates respective remaining operation numbers of each of the plurality of constituent elements, an operation frequency ascertaining section which ascertains respective operation frequencies of the constituent elements at the plurality of equipment positions according to a type of the board, and a guide section which performs guidance of equipment positions of the constituent elements based on the remaining operation number and the operation frequency when a worker equips the constituent elements.

A production management computer totals the data of the component pickup operation quantity of the suction nozzle and the pickup error quantity sent from control device of each component mounter for each type of component, and calculates the ratio of the pickup quantity or the ratio of the pickup error quantity with respect to the component pickup operation quantity of the suction nozzle for each type of component as a component pickup rate. Here, production management computer separately calculates an after-feeder-setting component pickup rate, a main component pickup rate, a near-tape-trailing-end component pickup rate, and an after-splicing component pickup rate as component pickup rates for each type of component.

A pick and place nozzle performance analytics system streams production data from pick and place machines used in electronic assembly to a cloud platform as torrential data streams, and performs analytics on the production data to track, visualize, and predict performance of individual nozzles in terms of rejects or miss-picks. The analytics system generates a performance vector for each nozzle based on the collected production data, the performance vector tracking both the accumulated rejects and the percentage of rejects as respective dimensions of an x-y plane. The system monitors and analyzes the trajectory of this vector in the x-y plane to predict when performance degradation of the nozzle will reach a critical threshold. In response to predicting that nozzle performance degradation will exceed a threshold at a future time, the system can generate and deliver notifications to appropriate client devices.