Rule Based Expert System – Gautama

Challenge:

The client struggled with manual quality inspections, inconsistent defect detection, and delays in process optimization, leading to increased production costs and inefficiencies.

Solution:

The company deployed Gautama, Azure Software’s rule-based automation platform, to automate quality control, equipment monitoring, and process optimization. Using Gautama Designer, engineers defined rules with a drag-and-drop interface, allowing seamless automation.

Implementation:

• Rule-Based Quality Control: Automated defect detection using sensor data and predefined quality parameters.
• AI/ML-Driven Optimization: Continuous rule refinement based on real-time data and user feedback.
• Gautama Executive for Operations: Predefined rule libraries enabled supervisors to streamline production workflows and ensure compliance.

Results:

• 50% faster defect detection and resolution
• 40% reduction in production downtime
• Improved consistency in manufacturing quality

Conclusion:

Gautama’s automation capabilities helped the manufacturing plant improve efficiency, reduce errors, and optimize operations. Azure Software customized rule libraries to align with specific production processes, ensuring scalability and long-term value.

Client: Multiple, Indian Defence

Technology Used