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JMP For:
Analytical Application Development
Business Visualisation
Design of Experiments
Exploratory Data Analysis
Interactive Data Mining
Modeling
Quality Improvement
Reliability
Statistics
Visual Six Sigma

JMP® for Quality Improvement

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The market demands continual improvement, which is why you strive to accelerate time to market, to protect your brand by minimizing customer complaints and reducing warranty costs, and to deliver products and services that consistently meet or exceed customer expectations.

The software at the heart of your quality program should incorporate a wide range of statistical and graphical techniques. JMP offers outstanding capabilities for design of experiments, predictive analytics, interactive analysis and reporting – so you can identify emerging issues, determine their root causes and resolve them before they become customer problems.

JMP promotes quality improvement across your business, including market research to ensure you offer the right products at the right price, product and process development, manufacturing and fulfillment, and quality assurance and sales. Use it anywhere you rely on data to make decisions.

  • Measurement Study Analysis
  • Voice of Customer
  • Pareto
  • Statistical Process Control

In order to study your process, you need to understand the capability of your measurement systems and quantify how much variation those measurement systems contribute. The powerful Variability platform in JMP supports main effects, crossed, nested and other data studies to confirm the stability of your measurement systems or identify areas requiring improvement – so that you can accurately analyze your processes with confidence.

Gauge R&R Study using Variability/Gauge Chart. Easily visualize sources of excess variation in you measurement processes.

This Gauge R&R study uses a Variability/Gauge chart. You can easily visualize sources of excess variation in you measurement processes.

Understanding what customers want from your product or service is critical to your business health in today’s marketplace. The Categorical platform in JMP tabulates and summarizes categorical response data and provides easily interpretable Share charts to quickly assess your customer feedback. Feedback can come in many forms: surveys, complaints or side effects from a new medicine. The Categorical platform supports a variety of data formats to serve your analysis needs.

Use the categorical platform to create Share charts to determine critical customer needs from your customer surveys.

Use the categorical platform to create Share charts to determine critical customer needs from your customer surveys.

You can use the flexible Pareto Platform in JMP to evaluate product defect analysis by frequency, cost or other critical-to-quality parameter. Interactively combine causes or predefine a combined-cause threshold to focus on top causes. You can also assign additional variables to produce multiway Pareto plots. Plus, it’s simple to convert these plots to pie charts.

The flexible Pareto Platform found in JMP can be used to evaluate product defect analysis by frequency, cost or other variable. You can interactively combine caused or predefine a combined cause threshold to focus on top causes.

View a standard Pareto plot with combined causes, or split them across other process variables, such as date, before and after improvement efforts, by machine, etc.

JMP offers a wide variety of Statistical Process Control (SPC) charting options to assist your process analysis efforts, including problem investigation, out-of-control conditions and ongoing monitoring for stability. The Control Chart platforms offer many rich features,such as the ability to add more data dimensions to the graphs, phase, blocking and flexible Control Chart rules.

JMP offers a wide variety of Statistical Process Control (SPC) charts to assist your process analysis efforts, including problem investigation, out of control conditions and ongoing monitoring for stability. Additional dimensions can be added with the use of phase variables and row states (symbols and colors) based on additional factors in the process.

This Individual and Moving Range chart shows Phased control limits by filling head for a cereal package-filling operation. Sigma Zones are color-coded, and data points are colored and shaped by filling head.

More resources for Quality Improvement

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Customer Stories

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White Papers

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Conjoint Analysis Brews Up Satisfaction from ASQ Six Sigma Forum Magazine (Requires subscription)

Podcasts

Inna Ben-Anat, Teva Pharmaceuticals USA

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