What Is DMAIC (Define, Measure, Analyze, Improve, Control)?
Also known as: DMAIC process, Six Sigma DMAIC, DMAIC methodology
Definition
DMAIC is the five-phase Six Sigma method for improving an existing process: Define the problem, Measure current performance, Analyze root causes, Improve with verified solutions, and Control the gains so they last.
DMAIC (Define, Measure, Analyze, Improve, Control) Explained
Define sets the project scope, customer requirements and goal, often in a project charter. Measure establishes a baseline, validates the measurement system and collects data on the process output (often called Y). Analyze uses tools such as Pareto charts, fishbone diagrams, hypothesis tests and regression to separate real causes from guesses. Improve develops, tests and pilots solutions. Control locks in the gains with control charts, updated procedures and a response plan.
DMAIC is used when a process exists but performs poorly and the cause is unclear. For designing a new process, Six Sigma uses DMADV or DFSS instead. For simple problems with an obvious fix, a PDCA loop or a kaizen event is usually quicker and enough.
Measure and Analyze are data-heavy and ERP is a common source. Defect, scrap and rework quantities, operation times, supplier receipt and inspection results, and delivery dates all live in ERP and quality modules (for example quality and nonconformance records in Infor SyteLine, QM in SAP, quality management in Infor LN). Data cleaning is often the biggest effort, since inconsistent reason codes and missing transactions weaken the analysis.
In Control, the improved settings should be written into the system of record: updated routings, inspection plans, SPC alarms and work instructions. Gains that live only in a slide deck fade.
Why It Matters
- Brings statistical discipline to problems where causes are not obvious.
- Gives projects a clear gate structure that managers can review.
- Prevents jumping to solutions before the cause is verified.
- Control phase practices protect gains from slipping back.
In Practice
A coating line has a first pass yield around 92 percent. Define: target 97 percent. Measure: validate the gauge and collect two months of defect codes from the quality module. Analyze: Pareto shows one defect type dominates and ties to a specific booth and humidity range. Improve: adjust process settings. Control: add an SPC chart and update the inspection plan.
Frequently Asked Questions
What does DMAIC stand for?
Define, Measure, Analyze, Improve, Control.
When should you use DMAIC instead of PDCA?
Use DMAIC for complex, data-rich problems where the cause is unknown and statistical analysis is needed. PDCA or a kaizen event suits simpler problems.
What is the difference between DMAIC and DMADV?
DMAIC improves an existing process. DMADV (Define, Measure, Analyze, Design, Verify) is used to design a new process or product.
Do you need Black Belt certification to use DMAIC?
No. The method can be used by anyone, though complex projects benefit from trained Green or Black Belts for the statistics.
Related Terms
Six Sigma
Six Sigma is a data-driven improvement methodology that reduces process variation and defects using statistical analysis, targeting a capability level of 3.4 defects per million opportunities, typically executed through the five-phase DMAIC cycle.
PDCA Cycle (Plan-Do-Check-Act)
The PDCA cycle is a four-step improvement loop: Plan a change, Do it on a small scale, Check the results against the plan, and Act to standardize the change or adjust and repeat. It is also called the Deming or Shewhart cycle.
SPC (Statistical Process Control)
SPC (Statistical Process Control) is the use of control charts and statistical rules to monitor a process in real time, distinguishing normal common-cause variation from special-cause variation that signals a genuine change requiring action.
First Pass Yield
First pass yield is the percentage of units that complete a process correctly the first time, without rework, repair, or retest. Units that eventually pass after rework are excluded, so the metric captures hidden factory loss.
5 Whys (Root Cause Analysis)
The 5 Whys is a root cause analysis technique that asks why a problem happened, then asks why again of each answer, typically about five times, until a cause is reached that can be fixed and prevented from recurring.
Go Deeper
Yield Improvement Value Calculator
Put a dollar value on first pass yield improvement: failures avoided, rework and scrap savings, and the worth of each yield point.
Free ToolCost of Quality (COQ) Calculator
Add up prevention, appraisal, internal failure, and external failure costs to see your total COQ, its share of revenue, and your gap to world-class performance.
SPC Integration with ERP Quality Modules
SPC integration with ERP quality modules: control charts, Cpk data flow, AS9100D compliance, SyteLine and LN quality setup, and AI-driven quality automation.
SyteLine Quality Control (QCS) Module Deep Dive
Deep dive into the SyteLine Quality Control (QCS) module: inspection plans, receiving inspection, NCRs, CAPA workflows, and AS9100D compliance support.
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