DMAIC

DMAIC is an abbreviation of the five improvement steps it comprises: Define, Measure, Analyze, Improve and Control. All of the DMAIC process steps are required and always proceed in the given order.

The five steps of DMAIC

Define

The purpose of this step is to clearly articulate the business problem, goal, potential resources, project scope and high-level project timeline. This information is typically captured within project charter document. Write down what you currently know. Seek to clarify facts, set objectives and form the project team. Define the following:

A problem

The customer(s)

Voice of the customer (VOC) and Critical to Quality (CTQs) — what are the critical process outputs?

The target process subject to DMAIC and other related business processes

Project targets or goal

Project boundaries or scope

A project charter is often created and agreed upon during the Define step.

Measure

The purpose of this step is to objectively establish current baselines as the basis for improvement. This is a data collection step, the purpose of which is to establish process performance baselines. The performance metric baseline(s) from the Measure phase will be compared to the performance metric at the conclusion of the project to determine objectively whether significant improvement has been made. The team decides on what should be measured and how to measure it. It is usual for teams to invest a lot of effort into assessing the suitability of the proposed measurement systems. Good data is at the heart of the DMAIC process:

Identify the gap between current and required performance.

Collect data to create a process performance capability baseline for the project metric, that is, the process Y(s) (there may be more than one output).

Assess the measurement system (for example, a gauge study) for adequate accuracy and precision.

Establish a high level process flow baseline. Additional detail can be filled in later.

Analyze

The purpose of this step is to identify, validate and select root cause for elimination. A large number of potential root causes (process inputs, X) of the project problem are identified via root cause analysis (for example a fishbone diagram). The top 3-4 potential root causes are selected using multi-voting or other consensus tool for further validation. A data collection plan is created and data are collected to establish the relative contribution of each root causes to the project metric, Y. This process is repeated until "valid" root

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