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Overview
JMP software
offers comprehensive capabilities for defining,
measuring, analyzing, controlling, and improving
critical aspects of your business. It provides
in-depth custom design capabilities (DOE) that lets
users describe and investigate complex problems
hampering productivity. JMP can be customized and
tailored to fit the varied needs and levels of
practitioners in an organization so that everyone
can contribute to Six Sigma efforts.
JMP for Six Sigma enables performance breakthroughs
that let businesses realize the maximum benefits of
a Six Sigma program by providing:
- Best in class
analytics, custom design capabilities and a
scripting language that make JMP easy to use for
all classes of users throughout all departments
of the organization.
- Analytics to
determine the root cause of a problem and
provide supportive data on corrective action.
- Support for all
phases of the Six Sigma DMAIC process.
- An integrated
solution running on Macintosh, Windows, and
Linux.
- Analysis tools
that enable Master Black Belts to choose the
projects that will yield the highest return on
investment.
To learn more, view
recorded JMP webinars and presentations:
Implementing Six Sigma and
JMP for Six Sigma
JMP in DMAIC
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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 & 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 |
To learn more, view
recorded JMP webinars and presentations:
Implementing Six Sigma and
JMP for Six Sigma
JMP
for Six Sigma Oriented Features
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Robust Analytics: JMP’s powerful and
extensive analytics have the ability to support
every stage of DMAIC design process providing
fast and complete answers for any Six Sigma
analysis.
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Dynamically linked graphs to results:
Statistical results are dynamically linked to
graphics providing presentation of data and
graphics together. Click on a point in one graph
and see corresponding observations highlighted
everywhere those values are represented. Easily
identify outliers and see trends. Query and
retrieve data from ODBC databases and file
management systems (MicrosoftTM Excel
and Access, OracleTM) using ODBC
(Open Database Connectivity) Drivers.
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JMP Scripting Language (JSL): Makes it
possible to record, repeat, program, automate,
and customize tasks. By using scripts, JMP
Scripting Language assures consistent results
and reduces the probability of errors from user
to user. JMP power users can bundle multiple
analytics into a template and distribute a
script that can be run by users with less
experience with a click of the mouse. Scripting
also aids in the speed at which you obtain
results.
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Design of Experiments (DOE) Custom Designer:
Specify the problem, laying out various kinds of
factors and responses, and JMP obtains the
optimal design that gives you the most
information for a given number of runs. You can
mix and match any combination of continuous
factors, categorical factors, mixture factors,
blocking factors and covariates. You also have
the ability to modify a design interactively.
DOE Custom Designer supports experimentation
end-to-end - from planning to designing to
fitting to profiling to optimizing. Save
response, factors, constraints from DOE so it’s
quicker to collaborate or repeat experiments
with no need for re-entering data
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Statistical Quality Control & Variability Charts:
Use control charts, capability analysis, Gage
R&R, as the tools to detect, analyze and solve
process related problems. With process control
and capability charts, quickly obtain a snapshot
of process performance and capability all in the
same dynamically linked window. Write alarm
scripts, using JSL, to warn users of out of
specification/control situations results.
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Reporting Flexibility: Copy and paste from
JMP to MicrosoftTM software products
to tailor a report or presentation. With the new
Layout facility, you can treat every element of
your report as a separate object. Freely edit,
delete, move, group and ungroup objects to
create the presentation you need. When you're
done, save your report directly to HTML for
ready-to-go presentation on the World Wide Web
or your department intranet. Graphics are
automatically embedded in your choice of JPEG,
PNG or WMF files.
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Platform Flexibility: JMP is available on
WindowsTM, MacintoshTM,
and Linux operating systems.
To learn
more, view recorded JMP webinars and presentations:
Implementing Six Sigma and
JMP for Six Sigma
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