Statistical Process Control (Advance) Introduction
- Do you have an effective product sampling plan?
- Are you meeting your customer specifications?
- Can you ensure that you meet the specified quality level?
SPC (Advance) can track and hold the gains from quality improvement activities. This course has a practical hands-on approach in numerical computation for manufacturing or service. This course enables the delegates to establish Statistical Sampling based on producer's and consumer's risks. Many numerical examples help the delegates to understand and use the course effectively.
Benefits Of Attending The Statistical Process Control (Advance) Training
The Statistical Process Control (Advance) Training enables the delegates to:
- Understand and use Single Statistical Sampling plans.
- Relate AOQ and LQ to Alpha and Beta risks.
- Establish accept and reject numbers to achieve stated quality levels
- Establish the AOQL for a sampling plan.
- Draw Statistical Sampling plans for products and processes.
- Enforce Reduced or Tightened Sampling.
- Design and use Double Sampling
- Establish accept and reject numbers to achieve stated quality levels
- Use BS 6004 Statistical Sampling
Who Should Attend The Statistical Process Control (Advance) Training ?
SPC (Advance) is used to monitor drifts in process so that proactive action can be taken. It will be most appropriate for those involved in Marketing, Finance, Sales, Manufacturing, Production and Service. Teams are encouraged to attend for maximum benefit.
Brief Statistical Process Control (Advance) Training Outline
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Day 1 (AM) |
Why SPC?
- How is SPC used?
- Example of SPC chart
- Variation
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Day 1 (PM) |
Statistical Sampling
- Acceptance Sampling
- Limiting Quality
- Average Outgoing Quality
Sampling techniques
- Acceptance sampling
- Design
- Use and interpretation
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Day 2 (AM) |
Operating Characteristic
- Producer's risk
- Consumer's risk
- Definitions
Process Control
- Normal sampling
- Reduced sampling
- Tightened sampling
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Day 2 (PM) |
Double Sampling Plans
- Design
- Use and interpretation
- Advantages
Summary
- Problems and Effective use
- Examples
- Assessment
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