Six Sigma Green Belt Certification Practice Exam

Which Six Sigma principle suggests the use of data-driven decision making?

1. DMAIC

2. PDCA

3. FMEA

4. QFD

The correct answer is: DMAIC

The principle that suggests the use of data-driven decision making is DMAIC. This stands for Define, Measure, Analyze, Improve, and Control, and is a structured, data-centric approach used to improve processes. Each phase of DMAIC emphasizes the importance of gathering and analyzing data to identify the root causes of problems and to assess the effectiveness of solutions. In the Define phase, teams outline the project goals and customer requirements. The Measure phase focuses on collecting relevant data to quantify the current performance of a process. The Analyze phase involves examining the data to identify trends and root causes of defects or inefficiencies. In the Improve phase, data analysis guides the development of solutions that are tested and validated. Finally, the Control phase ensures that improvements are sustained over time through monitoring. The other principles listed each have their specific applications that do not emphasize data-driven decision making in the same comprehensive manner as DMAIC. While PDCA (Plan-Do-Check-Act) also incorporates some measure of data in its feedback loop, DMAIC's focus on statistical analysis and measurement makes it the more definitive choice regarding data-centric processes in Six Sigma. FMEA (Failure Mode and Effects Analysis) is primarily a risk assessment tool rather than a continuous improvement approach based on data,