| Application Areas | Industries |
|---|---|
| Quality | Biotechnology |
| Six Sigma | Chemicals and Plastics |
| Business Visualization | Pharmaceuticals |
| Design of Experiments (DOE) | Manufacturing |
| Discovery | Semiconductor |
| Innovation |
JMP allows to drive quality improvement through organization, from product development to production and into the marketplace
JMP’s comprehensive statistics and interactivity make it the statistical software of choice for consultants and companies using Six Sigma. JMP supports the DMAIC process. Coupled with other SAS solutions for Business Intelligence and Performance Management, JMP gives C-level executives and Six Sigma Champions a total environment for identifying, implementing and sustaining quality improvements.
You shouldn't’t have to be a statistician to get information from your data. With JMP, you don’t have to be. You just need to know what your data means, and to want to make intelligent decisions based on it. That’s because JMP is more than a different data analysis tool. It’s an entirely different way of approaching data: It’s dynamic, it’s interactive and it’s visual.
Of particular value to organizations embracing Six Sigma are JMP’s custom design capabilities (DOE) that go beyond textbook experiments to let you describe the complex problems that pose major challenges to quality improvement and bottom-line savings.
JMP users make the most amazing discoveries. They’re saving endangered species, developing life-saving drugs, connecting people in need with support and services. JMP users achieve understanding by true interactivity with that data. With JMP, you interact with your data – all of it – to explore relationships, see where the trends take you, dig into areas that interest you, and even be led in new directions that you hadn't’t yet considered.
R&D needs JMP to see data and gain instantaneous insight into the relationships it contains. Already the leading software for discovery and innovation in the biotech, chemical, pharmaceutical, semiconductor, consumer products, aerospace and automotive industries, JMP can help in developing robust product designs that are more easily transferred into manufacturing, accelerating development, reducing risk and improving first-pass yields.
JMP software gives biotechnology researchers methods for understanding the genetics and disease mechanisms that enable the identification, treating, and prevention of disease. JMP lets researchers couple repeatable, sustainable investigation processes with the analytic power needed to extract meaningful intelligence from vast repositories of genetic data – within and across work groups. In biotherapeutics production environments, JMP offers statistical process control and analysis capabilities for troubleshooting operations and settling process digressions.
JMP provides chemical and plastics companies with comprehensive analytics, interactive exploratory data mining, and custom design capabilities (DOE) to overcome the challenges like increased competition, fluctuating energy prices and strict regulations. JMP’s analytics and graphic visualization tools support developing optimal products and processes with minimal experimentation.In a production setting, JMP help management in tracking, correcting, and preventing problems. JMP is used to support zero-defect product initiatives.
During drug production, companies use JMP to implement a consistent methodology for improving products, reducing defects, minimizing risks, streamlining operations, and increasing productivity. Pharmaceutical companies use JMP to do the following:
- Screen for the most promising few compounds
- Develop and refine promising compounds
- Link to databases for synthesis and extraction
- Design biological screens and determine optimal dosage Perform toxicology and safety testing
- Explore compound, pre-clinical, clinical, and post-clinical trials data
- Design, optimize, monitor, and improve manufacturing and distribution
JMP displays multiple graphs and statistics in the same window.Use repertoire of multivariate techniques. With Scripting Language it capture analysis sequences and produce immediate results in most usable format.
JMP supports users through every step of the design and manufacturing process by comprehensive analytics, interactive exploratory data mining, and custom design capabilities (DOE), which describe the complex problems that pose major challenges to quality improvement and bottom-line savings. Phase Control Charts and Capability Analysis monitor and maintain process improvements. Variability studies isolate the components of process variation. JMP’s Partition Platform uncover potential causes of defects and suggest the most important causes. Profilers explore the opportunity space graphically and simulate optimal settings to model process robustness.
JMP’s statistics and interactivity offer design, yield, test, process, quality, and reliability engineering workgroups a standard tool for seeing structure in their data, analyzing manufacturing processes, and exploring opportunities through designed experiments. JMP provides Dynamic linking between graphs, plots, and data. JMP’s Experimental Design and Gage R&R modern methods fit the design to the problem. JMP Journals are used to define standardized workflows for Process and use of Scripting Language to easily automate tasks, repackage and publish output.
Tupperware India Pvt. Ltd, is a wholly owned subsidiary of the US based Tupperware Corporation
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