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Explore the key concepts of process capability in Total Quality Management, including individual vs. average values, control limits vs. specifications, and calculating Process Capability Indices. Learn how to assess capability ratios and interpret capability indices for quality improvement.
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INT 506/706: Total Quality Management Lec #6, Process Capability
Outline • Individual values vs. averages • Control limits vs. Specs • 6σ spread versus specs • Calculating Process Capability Indices
Individual vs. averages The ability of X-bar to approximate μ is measured by the following equation:
Individual vs. averages IF the process can be assumed to be normal, the population standard deviation can be estimated from either the sample standard deviation (s) or the range (R).
Control limits vs Specifications A process under control exhibits: • 2/3 of points near center • Few points close to the center • Points around centerline • Points balanced on both sides • No points beyond control limits • No patterns or trends
6σ Spread versus Specs 3 Possible CASES 6σ < USL – LSL 6σ = USL – LSL 6σ > USL - LSL
Calculating 6σ Assuming process is STABLE and IN CONTROL • 20 subgroups of n=4 • Calculate sample std dev, si, for each sample • Calculate average sample std dev, • Calculate pop std dev • Multiply pop std dev *6
Capability Index Cp EXAMPLE INTERPRETATION: Process NOT capable (case 3)
Capability Ratio, Cr Inverse of Cp so larger the ratio, the LESS capable the process is of meeting specifications
Cpk Cp and Cr do not take into account the centering of the process Where Z(min)=
Review • Review pdf file in blackboard • “CapabilityCaseStudy” • Put into Minitab and run capability modules to see what you come up with • Is it the same as the case study? • Do you understand the interpretation of the case study?