Matakuliah
Mutu
Tahun
: Perancangan Manajemen
: 2009
Six Sigma Management and Tools
Pertemuan 21-22
Chapter 12:
Statistically-Based Quality Improvement for Variables
Reference:
S. Thomas Foster, “Managing Quality: An Integrative
Approach”, Second Edition, Pearson Prentice Hall, New
Jersey, 2003
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Statistically-Based Quality Improvement for
Variables
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Statistical Fundamentals
Process Contol Charts
Some Control Chart Concepts for Variables
Other Statistical Techniques in Quality Management
Discussion and Questions
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Statistical Fundamentals
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What is Statistical Thinking?
Why Do Statistics Sometimes Fail in the Workplace?
What Do We Mean by the Term Statistical Quality Control?
Understanding Process Variation
Process Stability
Sampling Methods
Random Samples
Systematic Samples
Sampling by Rational Subgroups
Planning and Inspection
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Process Contol Charts
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Variable and Attribute Control Charts
A Generalized Procedure for Developing Process Charts
Understanding Control Charts
Inteprating Control Charts
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Some Control Chart Concepts for
Variables
• Choosing the Correct Variables Control Chart
• Corrective Action
• How Do We Use Control Charts to Continuously
Improvement?
• Tampering with the Process
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Process Capability for Variables
• Population Versus Sampling Distributions
– Six Sigma Quality (Figure 12-20, Six Sigma Quality)
– Population and Sampling Distribution (Figure 12-21, Population
and Sampling Distributions for Class
• Capability Studies
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Discussion and Questions
• Case 12-1:
– Ore-Ida Fries
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