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STATISTICAL PROCESS CONTROL (SPC)
ADVANCED WORKSHOP

This workshop is a follow-up to our Basic SPC course. You will expand your fundamental understanding of Statistical Process Control by discovering new tools and methods taught in this course.

TARGET AUDIENCE  
COURSE LENGTH AND COST
Production-level workers and anyone else who needs an advanced understanding of SPC.

Prerequisites: The applicant should have a basic understanding of statistical methods.

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. SPC Implementation Issues

      a)   Getting SPC Started
      b)   Consultants Report to Superiority
            Corporation
      c)   Manufacturing Implementation
      d)   Selecting performance indicators
      e)   Guidelines for choosing an SPC
            method for attributes data
       f)   Evaluating the effectiveness of
            SPC
      g)   Offline analysis of control charts

2. Measurement Error


      a)   Evaluation of measurement error
      b)   Evaluating measurement systems

3. Process Capability Analysis

      a)   Process capability analysis
      b)   How to perform process capability
            studies-A 10 step plan
      c)   Statistical analysis of process
            capability data
      d)   Non-normal distributions
      e)   True position
       f)   Probability paper

4. Median Control Charts

      a)   How to prepare and analyze charts
      b)   Interpretation of charts
      c)   Range control card
      d)  
Pointers for using charts

5. Process Control for Short and Small
    Runs

      a)   Strategies for Short and Small
            Runs
      b)   Preparing the Short Run Process
            Control Plan (PCP)
      c)   Variables Data
      d)  
Attribute SPC for Small and Short
            Runs

6. Cumulative Sum (CUSUM) Charts

      a)   Combined plan
      b)   Procedure
      c)  
How to use the CUSUM chart

7. SPC for Continuous and Batch
    Processes


      a)   Continuous or batch versus
            discrete processes
      b)   Statistical obstacles

8. SPC for Services and Administration

      a)   SPC techniques for automated
            manufacturing
      b)   Unique service industry
            characteristics
      c)   Lessons from manufacturing
      d)   Measuring service quality
      e)   Deciding where to measure
       f)   Deciding what to measure
      g)  
How to measure service quality
      h)   Surveys and sampling
       i)   A self-administered survey
            method that works
       j)   Questionnaire design
      k)   Survey implementation
       l)   ASQC survey of service quality
     m)   When should we measure service
            quality?
      n)   Analyzing service quality data
      o)   Control charts of time-based
            performance measures
      p)   A case study in non-
            manufacturing SPC
      q)   SPC control charting in the
            service industries
       r)   Quality improvement
      s)   A common pitfall

9. SPC for Processes with Linear Drift

      a)   SPC and linear drift
      b)   Control charts for linear trends
      c)   How much drift should be
            allowed?
      d)  
Examples of computing drift

10. SPC for Multiple Stream Processes

      a)   Analyzing multiple stream
            processes
      b)   The group control chart
      c)   Implementing group control charts
      d)   Using the group control chart
            when all streams are not the
            same

11. Process Control Planning

      a)   Introduction
      b)   Identifying key process elements
      c)   Preparing the process control
            planning
      d)   Example of process control
            planning
      e)   Contingency planning
       f)  
Process improvement planning


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