6 Sigma DMAIC roadmap(Define, Measure, Analyze, Improve and Control)

Six sigma DMAIC is the most widely used methodology for process improvement projects. A DMAIC project has five phases – Define, Measure, Analyze, Improve and Control. Learn the key steps in each phase and what tools can be used for those steps

DMAIC

Define :-Define project goals & customer (internal & external) deliverables. Identify the “Y” to be improved.

Measure :-Measure the process to determine current performance

Analyze :-Analyze and determine the root cause of the defects

Improve :-Improve the process by eliminating defects and variability

Control :-Control future performance

DMAIC Define Phase

The initial step of the Six Sigma problem solving methodology is the Define step. Properly defining the problem is the most important part of solving the problem. Key objectives of Define phase are:

  • Gain the importance of identifying the Customer and key requirements
  • Obtain a formal project approval from sponsors
  • Identify services we provide to the Customer and their linkage to related requirements

Define step begins with capturing the voice of customer(VOC) and then next step is preparation of Charter. In project charter we define the problem and project goals along with scoping. Along with Charter we also prepare the SIPOC for common understanding of the process.

Six Sigma Tools / DMAIC Tools

DMAIC PHASE ELEMENTS TOOLS & TECHNIQUES
DEFINE Identify customer needs and Project CTQ Cost of Poor Quality(COPQ)
Make Project Charter Project Charter
Define High Level process Map Pareto chart
SIPOC
VOC and Kano’s model
MEASURE Define Performance Standards Process mapping
Establish Process Capability Pareto diagram
Measurement System Analysis Measurement system analysis(MSA)
Understand probable causes and prepare data collection plan Process Capability
Brainstorm and Fishbone
Understand data type
Data collection plan
ANALYZE Define Performance Objective Cause and Effect analysis
Identify Sources of Variation 5 Why analysis
Establish Y=f(X’s) Failure Mode & Effect Analysis(FMEA)
Select Vital X’s Scatter and Correlation
Regression
Hypothesis Testing
Chi Square
Anova
IMPROVE Determine solutions for vital X’s Design of Experiment(DOE)
Experimental Design Failure Mode & Effect Analysis(FMEA)
Improvement Strategy Piloting a solution
Pilot & Assess Risk Poka yoke(mistake proofing)
Lean Tools
Hypothesis Testing
CONTROL Sustain Improvements Standard Operating Procedures(SOP)
Statistical Process Control Control Charts
Establish Improved Capability Process Capability
Visual management

DMAIC Measure Phase

The 2nd step of the Six Sigma problem solving methodology is the Measure step.

Key objectives of Measure phase are:

Identify the project Y and operational definition

Before collecting data, we need to describe “Operational definitions” of the measurements. An operational definition clarifies What, How and Who is going to collect the data so that the team is in agreement.

Process analysis and mapping

A process is a set of interrelated resources and activities which transform inputs into outputs with the objective of adding value. The activities relative to any process of importance, should be documented and controlled.

Identify probable X’s and data collection plan for these X’s

This is a very important step in which we brainstorm and do Fishbone analysis. This will help us to identify the probable X’s impacting Y. After this step we need to see what data is required to establish the relationship between each X and Y. This forms the foundation of Analyze phase and Hypothesis testing.

Validate the measurement system

Total variation is product variation combined with measurement system variation. Measurement system variation is dependent upon accuracy and precision. The calibration of measuring instruments is necessary to maintain accuracy, but does not necessarily increase precision. In order to improve the accuracy and precision of a measurement process, it must have a defined test method and must be statistically stable.

Baseline process capability

Capability is defined as the ability of a process to produce outputs that meet the product /service and/or the customer specifications. We calculate the Sigma level of the process along with Cp, Cpk for continuous and DPMO for discrete data types.

DMAIC Analyze Phase

The third and most important step of the Six Sigma problem solving methodology is the Analyze phase. In the Measure phase we listed the probable X’s/causes and also made our plans to collect the relevant data related to each probable X. Now we need to establish the relationship between X’s and Y, post which we also need to prioritize our X’s in terms of their impact on Y and our control over these X’s.

Key objectives of Analyze phase are:

Identify and formulate causes or X’s

In this step we can use tools like Pareto, Fishbone, 5 Whys to list the probable causes. We have to formulate hypothesis for these X’s. Post which we need to collect data for each X.

Quantify and verify X’s

Now we have to formulate Y=f(x), we have to test whether X has any impact on Y or not. This is done with the help of Hypothesis testing, advanced analytics etc.

With this shortlist the X’s which actually have significant impact on Y.

DMAIC Improve Phase

Improve phase is the forth phase in Six Sigma methodology, in previous phase we have identified the critical X’s which are impacting Y. In Improve phase we generate solutions for each X, we need to pilot the solution and measure the impact. Once we establish that the solution has significant impact on Y then we can implement the solution in complete process.

Key objectives of Improve phase are:

Identify the potential solutions to eliminate the prioritized root causes

Now that we have the list of prioritized list of X’s, we generate ideas to mitigate the impact of X’s. One can use tools like Six Thinking Hats, brain storming with subject matter experts.

Select Solution

Probable solutions need to be shortlisted, we need to do the cost benefit analysis before doing the pilot.

Pilot plan and implementation

Pilot of a solution needs to be well planned, Design of Experiment (DOE) is one such tool used in doing the pilot. Pilot needs to confirm the improvements before we can do 100% implementation.

DMAIC Control Phase

Control phase is the final phase in Six Sigma methodology. Before reaching Control phase, the team should have finalized the solutions and have shown the improvement in the process. The process has already reached the target in Improve phase but now the team has to set procedures and controls so that the improvement sustains.

In the physical world, the law of Entropy explains the gradual loss of order in a system. The same law applies to business processes. The control plan is a hedge against the loss of order and ensures gains are sustainable.

I hope you have understood the above concept and if you want to learn more such tools then go for a Six Sigma course from Simplilearn. The course is aligned to IASSC and ASQ exam, integrates lean and DMAIC methodologies using case studies and real-life examples.

There is another good online Six Sigma Green Belt course from Coursera. This course is from University System of Georgia and is well recognized.

If you want to learn new age data science techniques, then one good starting point is Data Science course from Simplilearn. Data Science is emerging very fast and early movers will always have advantage.

My Recommendations

There are great online courses available for Six Sigma, PMP, Data Science, Big Data, Machine Learning and Python.

If you want to have a course from a recognized university then Coursera is the place for you. Otherwise I would recommend Simplilearn.

Simplilearn certificate is well recognized in the industry and courses are really helpful.

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