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JMP for DMAIC

The following chart describes how JMP can be used in each step of the DMAIC process.

DMAIC Processes	Key Analytical Tools
Define Identify Project, Champion and Project Owner Determine Customer Requirements and CTQs Define Problem, Objective, Goals and Benefits (FA) Define Resource/Stakeholder Analysis Develop Project Plan Map the Process	Process Mapping
Measure Determine Critical Xs and Ys Determine Operational Definitions Establish Performance Standards Develop Data Collection and Sampling Plan Validate the Measurements Conduct Measurement Systems Analysis Determine Process Capability and Baseline	Time Series Charts, Histograms and Pareto Graphs, Measurement Systems Analysis, Process Capability Analysis
Analyze Benchmark the Process or Product Establish Causal Relationships Using Data Analyze the Process Map Visualize the Problem Determine Root Cause	Statistical Tests, Confidence Intervals, Modeling, Partitioning (Decision Trees) Root Cause Analysis
Improve Design and Analysis of Experiments (optional) Develop Solution, Cost and Benefit Alternatives Assess Risks of Solution Alternatives Validate Solution Using a Pilot Implement Solution Determine Solution Effectiveness Using Data	Design of Experiments, Regression Modeling, FMEA, Statistical Validation
Control Statistical Process Control Determine Needed Controls Implement and Validate Controls Develop Transfer Plan Realize Benefits of Implementing Solution Close Project and Communicate Results	Statistical Process Control

DMAIC Processes

Key Analytical Tools

Define
Identify Project, Champion and Project Owner
Determine Customer Requirements and CTQs
Define Problem, Objective, Goals and Benefits (FA)
Define Resource/Stakeholder Analysis
Develop Project Plan
Map the Process

Process Mapping

Measure
Determine Critical Xs and Ys
Determine Operational Definitions
Establish Performance Standards
Develop Data Collection and Sampling Plan
Validate the Measurements
Conduct Measurement Systems Analysis
Determine Process Capability and Baseline

Time Series Charts, Histograms and Pareto Graphs, Measurement Systems Analysis, Process Capability Analysis

Analyze
Benchmark the Process or Product Establish Causal Relationships Using Data Analyze the Process Map
Visualize the Problem Determine Root Cause

Statistical Tests, Confidence Intervals, Modeling, Partitioning (Decision Trees) Root Cause Analysis

Improve
Design and Analysis of Experiments (optional)
Develop Solution, Cost and Benefit Alternatives
Assess Risks of Solution Alternatives
Validate Solution Using a Pilot Implement Solution
Determine Solution Effectiveness Using Data

Design of Experiments, Regression Modeling, FMEA, Statistical Validation

Control
Statistical Process Control
Determine Needed Controls
Implement and Validate Controls
Develop Transfer Plan
Realize Benefits of Implementing Solution
Close Project and Communicate Results

Statistical Process Control

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Copyright ISPE 2007. Reprinted with permission from ISPE

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