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Phone          +65 6270 0153

Email            sales@sigenic.com

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* The above images are from just one set of the real-time data captured with our system. Please contact us should you need detailed case studies. Robotic stability issues are broad and this was just one scenario. Approach us for a free consultation to identify our solutions applied to your issues

ROBOTICS STABILITY MONITORING

Sigenic’s Robotics Stability Solution provides comprehensive, high accuracy and real-time monitoring

of the condition of targeted robots throughout the integrated circuit manufacturing process. This ensures successful automated silicon wafer transfer and logistics. The solution prevents unwanted excursions, identifies

(via real-time analysis) and then predicts unexpected

wear  and damage. This reduces error rates, boosts quality, increases reliability and optimizes throughput.  
 

Some proven error conditions and causes already identified bn the system include: 


• Robot position drift causing wafer collision against flange.
• Wafer on lower arm bounced, causing wafer scratch.
• Robot blade scratched wafer underside.
• FFU fan motor irregularities caused undesirable cantilever effects 
• Plunger condition monitoring.
• Vacuum induced bouncing prediction. 

POLISHING CONDITION MONITORING

Sigenic provides reliable health monitoring solutions for wafer polishing machines. These services provide precision results. The condition monitoring technologies improve process reliability and are designed to ease machine operation. The analysis provides insight of the polishing conditions, reducing chances of excursions from the optimal result. 

 

Proven error conditions and causes already identified by the system include:


• PC arm collision against polishing head prediction
• Broken Flexure Plate prediction
• Pad surface condition/properties monitoring
• Platen bearing condition monitoring

* The above images are from just one set of the real-time data captured with our system. Please contact us should you need detailed case studies. Polishing Condition Monitoring issues are broad and this was just one scenario. Approach us for a free consultation to identify our solutions applied to your issues. 

PREDICTIVE MAINTENANCE SOLUTIONS

Our predictive maintenance approach is determined by the actual condition of equipment rather than average or expected statistics. Essentially, the system predicts failure prior to any related excursion by closely monitoring the machine during operations. When this approach is applied to maintenance, it immediately delivers cost savings over routine or time-based preventive maintenance.  The maintenance tasks are performed only when warranted, increasing up-time and reducing maintenance costs.

 

Proven case in point: 
• Manual periodic checks on cleaning sponge & brush.

* Above images are just one of the real-data samples captured with our system. Please contact us should you need detailed case studies. Switching from periodic manual maintenance to machine performance-based maintenance is a rewarding change, not limited to this scenario. Approach us for free consultation to identify unlimited possibilities. 

 
 
 
 
Our team analyses each requirement using our unique methodology that combines the principles of physics and data diagnostics using in-house algorithms. Our approach is unique due to our high frequency and high-resolution data collection that can define individually the signature of each machine. The data is analyzed real-time to maximize machine performance. The system ingeniously looks for correlations across multiple parameters and compares the results second by second against predefined goals or data from a base-line run.