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STATISTICAL PROCESS CONTROL (SPC)
BASIC WORKSHOP

 
"The case studies presented were very helpful in clarifying the subject."
"This course provided a clear understanding of SPC."
"I will walk away with a lot of basic knowledge, which was more than I came with."
 
(This program is also available on DVD (Self-Directed Learning) and course materials including PowerPoint and student workbooks can be made available for your internal instructors' needs).

The purpose of this course is to provide practical instruction on the fundamental statistical tools used in modern process control methods. Workshop problems will be used to practice the techniques developed.

TARGET AUDIENCE  
COURSE LENGTH AND COST
Production-level workers, technicians and anyone else who seeks a basic understanding of SPC.

Prerequisites: No prior background in statistics is required. Participants should bring a hand calculator for problem solving.

Length: 2 days
Time: 8:00 a.m. - 4:00 p.m.

Please see our public training schedule for prices, dates and locations.

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WHAT'S COVERED
1. Introduction to SPC

      a)   Program planning and organization

2. Working in Groups


      a)   Groups and SPC
      b)   The group process
      c)   Stages in group development
      d)   Productive group roles
      e)  
Counterproductive group roles
      f)    Management's role

3. Data Collection

      a)   Why collect data
      b)   Sources of data
      c)  
Obtaining new data
      d)   Variables, attributes, and rankorder
            data
      e)   Data collection tools
      f)    Layout of data sheets
      g)   Location diagrams
      h)   Checkoff sheets

4. Problem Solving Techniques

      a)   Critical and creative thinking
      b)  
Brainstorming
      c)   Flowcharting
      d)   Cause and effect diagrams
      e)   CEDAC

5. Fundamental SPC Concepts

      a)   Distributions
      b)   Normal distribution
      c)   Central limit theorem
      d)   Measures of central tendency
      e)   Measures of dispersion
      f)    Prevention versus detection
      g)   Process control versus meeting
            requirements

6. Descriptive Data Analysis

      a)   Pareto analysis
      b)   How to perform Pareto analysis
      c)   Example of Pareto analyses
      d)   Related technique
      e)   Pointers for Using Pareto analyses
      f)    Histograms
      g)  
How to construct a histogram
      h)   Histogram example
       i)   Pointers for using histograms
       j)   Scatter diagrams
      k)   How to construct a scatter diagram
       l)   Example of a scatter diagram
     m)   Pointers for using scatter diagrams

7. Run Charts

      a)   Run charts
      b)   How to prepare and analyze run
            charts
      c)   Related techniques
      d)   Pointers for using run charts
      e)  
Pseudo control charts (optional)
      f)    Pointers for Using Pseudo Control
           Charts

8. Average, Range and Sigma Charts

      a)   Average, range and sigma charts
      b)   How to prepare and analyze 3c
            and R charts
      c)   Interpretation of control charts
      d)   Examples
      e)   Sigma charts (s charts)
      f)    Related techniques
      g)  
Pointers for using x, R, and s
            charts

9. Control Charts for Individuals

      a)   Control charts for individual values
      b)   How to prepare and analyze
            individuals charts
      c)   Discussion of example
      d)   Related techniques
      e)   Pointers for using X charts

10. Control Charts for Attributes

      a)   np charts for number defective
      b)   How to prepare and analyze np
            charts
      c)   np chart example
      d)   Related techniques
      e)   Pointers for using np charts
      f)    P charts for proportion defective
      g)   How to prepare and analyze p
            charts
      h)   p chart example
       i)   Related techniques
       j)   Pointers for using p charts
      k)   C charts for number of
            occurrences
       l)   How to prepare and analyze c
            charts
     m)   c chart example
      n)   Related techniques
      o)   Pointers for using c charts
      p)   u charts for occurrences per unit
      q)   How to prepare and analyze u
            charts
       r)   u chart example
      s)   Pointers for using u charts


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