Maricopa Community Colleges  FAC126   19986-20012 
Official Course Description:   MCCCD Approval:  04/28/98
FAC126      19986-20012 LEC 2 Credit(s) 2 Period(s)
Analyst Level Statistical Process Control
Use of statistical rules for interpretation of control charts. Analyze and recommend appropriate actions on factors affecting process variation. Prerequisites: MET124.
Cross-References:   MET126
 
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MCCCD Official Course Competencies:
 
FAC126   19986-20012 Analyst Level Statistical Process Control
1. Identify the causes if variation. (I,II,X)
2. Identify rules defining statistical process control (SPC). (II,V,X)
3. Describe rational subgrouping. (II, III)
4. Describe valid data. (II,V,IX,X)
5. Define measures of dispersion. (III,VIII)
6. Define probability. (IV,V,VI)
7. Describe the empirical rule. (IV,V,VI)
8. Interpret control charts. (V,VII,VIII)
9. Calcualte parts per million with porcess capability. (VI)
10. Identify process setting. (VII,VIII)
11. Conduct and interpret gage studies. (IX)
12. Apply computer technology to problem solving. (II,IV,VI,VIII,IX)
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MCCCD Official Course Outline:
 
FAC126   19986-20012 Analyst Level Statistical Process Control
    I. Basic principles
        A. Concepts of variation
          1. Engineering
          2. Shewhart
        B. Control chart overview
        C. Variation axiom
      II. Neced for contol charts
          A. Rules for control
          B. Rational subgrouping
          C. Validity of data
        III. Dispersion
            A. Range
              1. Application
              2. Limitation
            B. Root mean square deviation
          IV. Three sigma limits
              A. Probability theory
              B. Empirical evidence
              C. Empirical rule with homogeneous data
              D. Shewhart control charts
                1. Myths
                2. Foundations
            V. Effective use of control charts
                A. Western electric ruels
                B. Target chart
                  1. Case study
                  2. Examples
                  3. Practical applications
              VI. Process capability
                  A. Confusion in its interpretation
                    1. Process voice
                    2. Customer voice
                  B. Cp, Cpk, PPM
                    1. Calculations
                    2. Relationship
                    3. Interpretation
                VII. Setting process aim
                    A. Process stability
                    B. Process aim techniques
                      1. Sequence of values
                      2. Multiple measurements
                    C. Axiom
                  VIII. Control chart constants
                      A. Dispersion measures
                      B. Three sigmal limit individuals
                      C. Balance points
                        1. Individual values
                        2. Subgroup averages
                        3. Subgroup ranges
                    IX. Gage studies
                        A. Short study using software
                        B. Long study using software
                        C. Interpretation
                        D. Conclusion of effects
                      X. Inadequate measurement units
                          A. Detection rules
                          B. Case study
                          C. Examples
                          D. Practical Application
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