JMP

JMP for Six Sigma

With 12 years of experience providing best in class analytics, JMP is used as the statistical software of choice in many of the leading-edge Six Sigma companies. JMP supports the Six Sigma process not only by offering best in class analytics but also by offering custom design capabilities (DOE) and a scripting language that makes JMP easy to use for all classes of users throughout all departments of the organization.

JMP couples powerful analytics with custom design capabilities (DOE) and automation using JMP scripting language in a desktop statistical software package that can be used by all levels of users across all industries supporting every step of the Six Sigma process. The JMP Six Sigma solution does the following:

Provide best in class analytics, custom design capabilities and a scripting language that makes JMP easy to use for all classes of users throughout all departments of the organization
Support all phases of the Six Sigma DMAIC process by providing an integrated solution running on Macintosh and Windows.
Allow Master Black Belts to use JMP to choose which project may yield the highest return on investment.
JMP software includes analytics to determine the root cause of a problem and provide supportive data on corrective action.

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

Six Sigma Oriented Features

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.
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 (Microsoft^TM Excel and Access, Oracle^TM) using ODBC (Open Database Connectivity) Drivers.
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.
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
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.
Reporting Flexibility: Copy and paste from JMP to Microsoft^TM 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 deparent intranet. Graphics are automatically embedded in your choice of JPEG, PNG or WMF files.
Platform Flexibility: JMP is available on Windows^TM and Macintosh^TM operating systems.