Which is the correct order of the DMAIC phases in Six Sigma?

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Multiple Choice

Which is the correct order of the DMAIC phases in Six Sigma?

Explanation:
DMAIC is a five-phase, data-driven process used to improve how a process performs. The order is important because each step relies on what you’ve learned in the previous one. Start with Define to set the scope, goals, customer needs, and how you’ll measure success. Then Move to Measure to collect reliable data, establish a baseline, and confirm what needs to be improved. Next is Analyze, where you dig into the data to identify the root causes of problems or variation. Once you know the causes, you can Move to Improve, designing and testing solutions to address them and implementing changes. Finally, you reach Control, creating procedures, monitoring, and control plans to ensure the gains are sustained over time. Why this order fits: measuring before defining can lead to collecting the wrong data, and analyzing without solid data won’t identify real root causes. Improving without understanding the root causes risks applying the wrong fix, and controlling too early means the process isn’t stabilized yet. Following the defined sequence ensures each step informs the next and outcomes are verifiable and sustainable.

DMAIC is a five-phase, data-driven process used to improve how a process performs. The order is important because each step relies on what you’ve learned in the previous one. Start with Define to set the scope, goals, customer needs, and how you’ll measure success. Then Move to Measure to collect reliable data, establish a baseline, and confirm what needs to be improved. Next is Analyze, where you dig into the data to identify the root causes of problems or variation. Once you know the causes, you can Move to Improve, designing and testing solutions to address them and implementing changes. Finally, you reach Control, creating procedures, monitoring, and control plans to ensure the gains are sustained over time.

Why this order fits: measuring before defining can lead to collecting the wrong data, and analyzing without solid data won’t identify real root causes. Improving without understanding the root causes risks applying the wrong fix, and controlling too early means the process isn’t stabilized yet. Following the defined sequence ensures each step informs the next and outcomes are verifiable and sustainable.

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