Work in this lesson turns Measure Systems, Process Capability, Data Collection, Mapping, and Baseline Analysis into a repeatable, reviewable practice. The activity uses an operations function improving a high-volume process with recurring defects, delays, capacity constraints, and customer dissatisfaction and contributes to the wider objective to lead scoped Six Sigma projects using DMAIC, statistical thinking, root-cause analysis, solution validation, and control planning.
The instructor traces a case involving an operations function improving a high-volume process with recurring defects, delays, capacity constraints, and customer dissatisfaction. The demonstration links decisions to objective evidence, records the result in measurement and capability workbook, and tests the condition where measurement systems introduce unacceptable variation.
Complete a controlled exercise covering Measure Systems, Process Capability, Data Collection, Mapping, and Baseline Analysis. Confirm scope and responsibilities, examine the stated exception, reach a supported conclusion, and preserve the outcome in measurement and capability workbook.
Start where expected practice and observed evidence first diverge. Separate a missing record from an ineffective process, distinguish unclear ownership from a control failure, and treat “measurement systems introduce unacceptable variation” as a hypothesis until tested against the applicable criteria and intended outcome.
Learners can apply Measure Systems, Process Capability, Data Collection, Mapping, and Baseline Analysis, explain the reasoning used, and defend the result through measurement and capability workbook.