Everyone who needs a refresher on how to develop process monitoring methods using data collection, control charts and data interpretation in order to drive process improvement and meet increasingly higher demands for top-notch quality. Participants may include quality managers, quality engineers, manufacturing engineers, product engineers, supervisors, inspectors, maintenance personnel and machine operators.

• Correctly apply control charts to most manufacturing processes
• Accurately interpret these charts to quickly detect any changes in process output
• Stabilize a process to produce consistent parts that satisfy customers

Topics covered in this overview include the following:

• Concept of variation in manufacturing
• Histograms and the normal distribution
• Calculating process parameters; population average and standard deviation
• Calculating subgroup statistics; subgroup average, range and standard deviation
• Plotting subgroup statistics on a control chart
• Estimating process parameters from subgroup statistics
• The power of control charts and why they’re better than inspection
• Developing control limits for the R chart and the IX & MR chart
• Interpreting charts for stability; points outside of a control limit, runs, trends and cycles
• Determining rational subgroups, selecting an appropriate subgroup size, finding the suitable time between collecting subgroups and knowing when to update control limits
• Difference between specification limits and control limits
• The difference between attribute data and variable data
• c, u, np, and p charts for attribute data

Introduction to Basic Statistical Process Control – Recommended for those who have no knowledge of SPC