Production Disruption Monitoring & Warning Report
Optimising Production Disruption Monitoring with RPA Automation
Key Solution: Robotic Process Automation (RPA)
Challenge
High Data Volume and Complexity: The manual process requires handling over 2000 data points, making it difficult to accurately monitor production disruptions.
Labour Intensive and Error-Prone: Manual data entry takes approximately 6 hours per instance and is susceptible to errors and omissions, increasing operational risks.
Delayed Response: The inefficiency of manual monitoring can delay the detection and warning of production disruptions, potentially affecting overall production efficiency.
Solution
This RPA solution transforms the production disruption monitoring process by replacing cumbersome manual methods with a highly efficient, accurate, and continuous automated system.
Before Implementation:
- Approximately 6 hours per event with extensive manual data entry.
- Involves over 2000 data points, with a high risk of errors and omissions.
- Labour-intensive process with significant operational risks.
After Implementation:
- Fully automated, enabling continuous monitoring with no manual work.
- Automated data extraction and processing ensures 100% accuracy.
- Saves about 300 hours per year, completely liberating manpower.
Impact
100% Accuracy
300 hours Annual Savings