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CORA Analysis- Assignment Two

CNC Machine GUI Interface (Human Fit Systems)
1. System Description

This Component Oriented Requirements Analysis (CORA) evaluates a CNC machine Graphical User Interface (GUI) from a Human Factors Engineering (HFE) perspective. The system is designed to support machine operators in controlling machining processes, monitoring system performance, and responding to real-time alerts. The analysis focuses on how the interface supports human interaction, decision-making, and safety, while minimizing cognitive load, physical strain, and operational errors.

2. Users
  • Primary Users: CNC machine operators, Manufacturing technicians, Machine programmers
  • Secondary Users: Maintenance personnel, Supervisors and production managers
3. CORA Table

The CORA matrix links customer (operator) requirements, engineering system components, and relationship strengths (9, 3, 1). This structured mapping allows identification of which components most strongly influence usability, safety, and performance.

4. Human Factors Considerations
  • Cognitive workload reduction through intuitive interface design
  • Visual ergonomics (clear display, readability, contrast)
  • Error prevention and recovery mechanisms
  • Fast system feedback and response time
  • Accessibility and operator safety
5. CORA Explanation

The CNC GUI system decomposition into functional components highlights that GUI Interface Display, Control Input, and Alarm Monitoring are critical for meeting user safety and usability requirements. Guided workflow and system latency were identified as the highest impact factors for efficiency and ease of use.

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6. Quantitative Analysis of CORA Results

The CORA matrix produces Absolute Importance Ratings, calculated by multiplying customer importance values by relationship strengths and summing across components. The results indicate that:

  • Guided Workflow UI and System Speed / Latency have the highest importance, as they strongly support critical requirements such as efficiency, fast response, and ease of use.
  • GUI Interface Display and Control Input System also rank highly due to their strong influence on navigation, usability, and visual clarity.
  • Alarm Monitoring System and Sensor Feedback System show moderate importance, as they are essential for safety and error prevention.
  • CNC Controller ranks lower in direct user interaction but remains essential for backend performance.

These results demonstrate that user-interface-related components dominate system effectiveness from a human factors perspective.

7. Human Factors Risk Summary

This CORA identifies key risk areas:

  • Poor interface design → increased cognitive load
  • Slow system response → delayed operator actions
  • Weak alarm systems → safety risks
  • Small or unresponsive touch controls → input errors

Addressing these risks improves overall system safety and performance.

8. Conclusion

This CORA analysis highlights the importance of human-centered design in CNC machine interfaces. The results show that usability, workflow guidance, and responsiveness are more influential than purely technical backend components. By aligning system design with human capabilities, the interface can:

  • Reduce errors
  • Improve efficiency
  • Enhance safety
  • Support operator performance

The CORA method provides a structured approach to integrating Human Factors Engineering into industrial system design.

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