Wafer fabs need to shift from reactive to proactive maintenance strategies. It is reported that unplanned downtime costs 10 times more than scheduled maintenance. GBS presents the all-in-one smart factory solution to meet the needs of the semiconductor and manufacturing industry, enabling proactive maintenance and minimising costly disruptions.
Our Smart Factory Solution is Designed with These Goals:
- Improve the reliability and availability of production assets
- Reduce unscheduled downtime
- Reduce maintenance costs
The Five Smart Factory Solutions:
RFID
Remote Control Management
AI-Driven Automation
Smart Glass
IoT Sensors
GoBot is customisable and can be retrofitted to integrate with your manufacturing systems. Our solution enhances the system’s overall competencies by monitoring for defects, trigger points and anticipating asset breakdown.
Our GoBot Solution Consists of 3 Main Features:
Data Mining Using IoT Sensors
We develop solutions for data acquisition according to our customer’s needs (e.g., pressure difference, temperature and humidity pressure, vibration, photoresist flow, or special customized requirements).
Key Benefits:
- Customised sensors for different needs
- Extreme temperature and pressure resistance
- Real-time monitoring of equipment
- Real-time data recording and upload
Multi-sensory device (MSD)
By adding the MSD (Multi Sensor Device), wafer fabs automate visual inspections and manual data collection. Data is digitally recorded and delivered to a centralised interface to help decision-makers with accurate, 24hrs 365days real-time information. Engineers leverage real-time monitoring of changes in key parameters to assess the reliability and performance of assets. Hence, improving the rate of control and reducing the occurrence of similar technical issues.
Example of the Photoresist Flow Sensor
Remote Control Management (RCM)
With GoBot, engineers can remotely control entire production asset fleets in the whole smart factory. The centralised interface utilizes configuration and calibration data to ensure assets are operating effectively. This allows real-time monitoring and remote control access to assets’ health, allowing them to promptly identify breakdowns and resolve the issue.
Hence, reducing unplanned downtime and minimising disruptions for safer and more reliable operations. Engineers can now focus their efforts on developing qualitative strategies that add value to the manufacturing process
Key Benefits:
- Improved management efficiency
- Centralised and remote control
- Faster response to emergencies
- Enhanced security – zero chance for virus infections
- Minimise human interactions (during pandemic)
Learning A.I.
It costs 50% more to repair a failed asset than addressing the issue prior to failure and up to 5% production capacity loss annually from unplanned shutdowns.
Predictive maintenance helps avoid unplanned shutdowns and cost-inefficient practices. GoBot shifts from break-fix maintenance to condition-based strategies via predictive analysis of the variation in the asset’s performance. Thus, eliminating unnecessary maintenance and improving asset reliability.
In addition, our GoBot solutions are complemented with learning functionalities to process new faults and develop appropriate solutions. They are capable of automatically performing measurement and parameter adjustment according to MIS automatic scheduling; interspersed with idle time of production assets.
Key Benefits:
- Up-to-date learning and processing
- Smart asset-ratification system
- Predictive analysis of assets
- Reduced downtime for maintenance
- Increased operational efficiency
Common Problems Faced
- Low product life span resulting in frequent changes of parts
- Less than optimal throughput yield
- Frequent asset breakdown / unscheduled downtime
- Exposure to corrosive chemicals and extreme conditions
Facing similar problems? Connect with us for a personal consultation to learn how we can meet your needs.