David Hutchins International Quality College

Statistical Process Control

Statistical Process Control is recognised as being one of the most important concepts used in industry today and yet statistical process control is one of the most badly taught. DHI have more than 35 years experience in this field and have trained participants from hundreds of companies around the world.  When conducted in house, our statiscal process control trainer can assist with the application of the methods in the workplace and dissemination throughout the organisation if required.

Target audience: Trainers, managers and supervision. Particularly useful for organisations who are implementing Six Sigma and Lean manufacturing programmes. Particularly useful if conducted in house. It will also greatly enhance the abilities of those who have been trained in Root Cause Analysis or Continuous Improvement.

Duration: 4 days
Cost: on application
Dates: To be arranged in house at venue of clients choice.
Location: Client choice
Statistical Process Control Course description:

The course is designed to provide participants with both the theory and practical application of the tecniques included. Use is made of many aids for the demonstration and application of statistical process control so that students will have aquired practical experience in their application.

Course objectives:
Day 1
  • brief review of principles contained in Statistical Process Control (SPC) and Design of Experiments (DOE) The Diagnostic Journey – testing the theories of causes.
  • What is variability? Sampling vs 100% inspection. Sampling for attributes and exercises. Theory of Distributions. The Binomial. Poisson and Normal Distribution. Group work on Theory of Distributions.
Day 2
  • The Deming Red Bead Experiment CUSUM Charts. Group Work on CUSUM Charts
  • Control Charts for Attributes. ‘C’, ‘P’, ‘NP’ and ‘U’ charts. Group work on Control charts for attributes. ‘C’, ‘P’. ‘NP’ and ‘U’ Charts.
Day 3
  • The Diagnostic Journey – Variable data. Interpretation of histograms. Construction of histograms. Group work.
  • Estimating standard deviation using histograms, cumulative frequency curves and probability paper.
  • Calculation of standard deviation. Central Limit Theorem and exercises.
  • Process Capability studies. CP and CPK. Control Charts for variables. Xbar/R chart.
  • Exercise using the Quincunx to demonstrate chart sensitivity and the identification of special causes. Run lengths.
Day 4
  • Group work on Process Capability studies. CP and CPK. Control Charts for variables, Demonstrations of MINITAB, Case studies from actual experiences in a wide variety of suituations.
  • Training the workforce and technical specialists.
  • The role of various levels of management.

Please click 'Contact us' for registration form which may be faxed, emailed or mailed to DHI

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