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MEASURE


Welcome to the 2nd phase of a DMAIC Project.

MEASURE Phase The MEASURE phase involves more numerical studies and data analysis than the DEFINE phase. This phase focuses on measurement system validation and gathering root causes.

The Voice of the Process (VOP) has variation from both the measurement system and the process and all its families (sources) of variation. The MSA will quantify the amount of variation induced from the measurement system and the statistical tests in ANALYZE will quantify the variation due to the significant inputs.

Many projects stall at this phase due to the Measurement Systems Analysis. Without taking away from the importance, often times teams cruise through the DEFINE phase then find out that data collection and analysis are very time consuming and challenging.

As a GB/BB prepare to buckle down and test your knowledge of basic statistics. Many measurement systems need work or can be improved with simple action, others will require much more and can be a project all by itself.

At this phase, the problem statement and project contract are commonly refined as a result of establishing an accurate baseline for the metrics being targeted. Without being able to measure, it is impossible to quantify change in any direction.



Measure Raodmap

This phase will most likely introduce statistical software and this alone can be time consuming to get comfortable with. It is recommended that you familiarize yourself with the statistical software package prior to starting an project. It is highly encouraged to use the HELP menu to your advantage.

Systems with archives of data often have flaws, or the data needed only occurs infrequently. Data collection takes time from operators and management and can be viewed as a burden. Finding the balance to get as much information as possible that is proven reliable while not consuming excessive resources is key to success in this phase.

This data collection will often encounter resistance and can lead to gatherings taking the easier route and rounding off numbers, or otherwise skewing and creating inaccuracies. Education, awareness, rule setting, and up front discussion with all stakeholders (not just team members) is ideal to get the most cooperation and validity in data collection.

Shown below are some of the commonly used tools and concepts used within the MEASURE phase:

Process Maps

Takt Time

Data Sampling - Population vs. Sample

Data Classification

Data Collection

SPC-Charts to assess Measurement System Stability

MSA - Measurement System Analysis

Statistical Process Control (SPC) Charts

Root Cause Analysis

5-WHY

Fishbone Diagram / Ishakawa Diagram / Cause and Effect Diagram

Correlation Matrix

FMEA - Failure Mode Effects and Analysis

Overall Equipment Effectiveness (OEE)

Spaghetti Diagram

Establishing a Baseline Measurement

DPU - Defects per Unit

DPO - Defects per Opportunity

DPMO - Defects per Million Opportunities

Process Yield Metrics

FY - Final Yield

TPY - Throughput Yield

RTY - Rolled Throughput Yield

NY - Normalized Yield

The meaning and formula around sigma scores

Sigma, Z-statistic, Z-value

COPQ - Cost of Poor Quality












Return to the DEFINE phase

Proceed to the 3rd phase of a Six Sigma DMAIC project: ANALYZE

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