Everyone who needs to develop process monitoring methods using data collection, control charts and data interpretation in order to drive process improvement and meet customers’ increasingly higher demands for top-notch quality. Participants 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:

• 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 X-bar,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
• When to leave the process alone and when to adjust
• Difference between specification limits and control limits
• The difference between attribute data and variable data
• c,u,np, and p charts for attribute data
• Conducting a capability study
• The CR, CP, CPL, CPU, and CPK capability indexes