Frequently Asked Questions (FAQs)
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What is Statistical Process Control (SPC)?
SPC is a:
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practical application of statistical principles in management,
engineering and process control systems; and
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statistical technique for the identification, measurement,
analysis and control of all causes of variation in any process,
that attains an output in goods, software and services.
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Benefits of SPC
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Identification, measurement, analysis and control of all root causes of variation in processes and operations to maximize
the added value,
- Improving process efficiency and effectiveness (Business
Process Re-engineering),
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Enhancing professional competence,
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Supporting continual improvement thru cost savings/elimination
of waste, etc
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Principles of SPC
Principle 1: No two things are exactly alike.
Principle 2: Variation in a product or process can be measured.
Principle 3: Things vary according to a definite pattern.
Principle 4: Whenever things of the same kind are measured, a large
group of the measurements will tend to cluster around the middle.
Principle 5: It is possible to determine the shape of the distribution
curve for parts (outputs) produced by any process.
Principle 6: Variation due to special (assignable) causes tends to
distort the normal distribution curve.
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SPC Tools
- Brainstorming
- Sampling
- Check Sheet
- Run chart
- Pareto Chart
- The Five Whys
- Fishbone/ Cause & Effect Diagram
- Histograms
- Correlation Chart
- Control Chart
- Process capability
- Force Field Analysis
- Prioritization Matrix
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For more information, please contact Tadesse Solomon, I-QUAS
Contact at: iquas@ethionet.et or (251-11)
662 3846 or (251-91) 161 3073, Addis Ababa, Ethiopia.
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