ON-LINE QC Introduction
- Do you have a responsive on-line quality control?
- Are you wasting resources with too much inspection?
- Is your inspection frequency at its optimum?
- Are you adjusting your process too frequently?
On-line Quality Control (OQC) optimizes quality inspection against quality loss. It provides a trade-off between inspection and quality. This course has a practical hands-on approach in numerical computation for manufacturing and provides several methods of optimizing quality inspection. Many numerical examples help the delegates to understand and use the course effectively.
Benefits Of Attending The ON-LINE QC Training
The ON-LINE QC Training enables the delegates to:
- Understand the use of On-line Quality Control.
- Optimize the inspection frequency for variable and attribute data.
- Optimize the diagnostic interval for variable and attribute data..
- Establish the optimum control limit of inspection.Optimize tool change frequency.
- Optimize tool change frequency.
- Establish cost trade off for more expensive longer life tools.
Who Should Attend The ON-LINE QC Training ?
OQC is used to monitor drifts in process so that proactive action can be taken. It will be most appropriate for those involved in Manufacturing and Production. Teams are encouraged to attend for maximum benefit.
Brief ON-LINE QC Training Outline
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Day 1 (AM) |
Why OQC?
- What is On-line Quality Control?
- Uses of On-line Quality Control?
Quality Assurance
- Inspection
- Intervals associated with a process
- Total loss
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Day 1 (PM) |
Optimizing Inspection - Variable
- Successive adjustment
- Diagnostic interval
- Optimum control limit
Example
- Calculations
- Draw graphs
- Establish optimum
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Day 2 (AM) |
Optimizing Inspection - Attribute
- Successive adjustment
- Diagnostic interval
- Optimum control limit
- Examples
- Calculations
- Draw graphs
- Establish optimum
Preventive Tool Change
- Current Quality Loss
- Optimum condition
- Optimum quality loss
- Examples
- Calculations
- Draw graphs
- Establish optimum
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Day 2 (PM) |
Tools with longer life
- Current Quality Loss
- Optimum condition
- Optimum quality loss
- Examples
- Calculations
- Draw graphs
- Establish optimum
Summary
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