Measure Phase
Process definition, statistical fundamentals, measurement system analysis, and capability studies.
The Measure Phase is the second stage in the DMAIC (Define, Measure, Analyze, Improve, Control) methodology, which serves as the foundation for data-driven decision making in Lean Six Sigma projects. This phase focuses on establishing a clear baseline of current process performance and collecting r…
LSSGB - Measure Phase Example Questions
Test your knowledge of Measure Phase
Question 1
A Six Sigma Green Belt is conducting capability analysis on a heat treatment process with LSL = 145°C, USL = 175°C, and target = 160°C. Historical data shows a process mean of 158°C with short-term standard deviation of 3.2°C and long-term standard deviation of 4.8°C. The team observes that Cpk = 1.35 while Ppk = 0.90. If the organization requires a minimum Ppk of 1.33 for process approval, and assuming the mean cannot be adjusted due to metallurgical constraints, what specific standard deviation reduction percentage would be required to achieve the minimum acceptable Ppk while maintaining the current process centering?
Question 2
A quality team collected the following cycle times in minutes for a process: 12, 15, 15, 18, 20, 15, 22. Which value represents the mode of this dataset?
Question 3
A Lean Six Sigma Green Belt is reviewing an X-bar control chart for a packaging process. The chart shows 20 subgroups with all points within the upper and lower control limits. The Green Belt notices that 7 consecutive points are positioned above the centerline, followed by 6 points randomly distributed around the centerline. Based on standard run rules for process stability, what should the Green Belt conclude?