Process analytics

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Press Release – Northwest Analytics Releases a Major Update to Quality Analyst®

NWA Quality Analyst 7.2NWA Quality Analyst 7.2 is scheduled for release in July 2024 and represents a significant upgrade to one of the leading statistical software control platforms in industry. As part of the new version, Northwest Analytics supports the models developed by the recently-released Pirouette 5.0, so the latest Infometrix technology can be utilized within the Quality Analyst SPC system.

NWA and Infometrix have worked together for over a decade to create a fully integrated solution for multivariate modeling and SPC charting that overcomes many of the barriers to the adoption of multivariate process monitoring and improvement techniques. NWA Quality Analyst’s new multivariate SPC module simplifies the data collection, model-building, and deployment process for off-line and real-time applications.

The combination of Quality Analyst’s connectivity and ease-of-use with Infometrix Pirouette’s industry-leading multivariate analysis capabilities provides a complete, integrated, multivariate modeling and SPC analytics solution. This seamless integration of NWA Quality Analyst and Infometrix Pirouette unifies multivariate modeling and SPC charting and analysis.

Multivariate models produced by Pirouette are incorporated into Quality Analyst Data Set definitions, simplifying analysis and reporting. The same Data Set and database connection is used for model building and ongoing univariate and multivariate SPC charting and analysis. Data Sets can be connected to any industrial or laboratory database and can contain a combination of model and non-model variables, simplifying data structures, analysis, and reporting. Real-time multivariate SPC is provided by NWA Quality Analytics Server using the same Data Sets and model definitions created for off-line SPC charting and analysis.

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Industrial Grade Chemometrics: from Laboratory to Process Implementation – APACT 2024 Program

Venue: April 24, 2024, 8:30am – 9:10am Hyatt Regency Hotel, New Brunswick, NJ Industrial Grade Chemometrics: from Laboratory to Process Implementation Presented by: Brian Rohrback, President, Infometrix, Inc. Abstract: The use of multivariate statistics, whether termed chemometrics or machine learning or (fill in the blank), is critical for industry to move from human-centered processing to more automated, objectively reliable processes. In the laboratory world, we seek to discover new routes for solving problems that will give us better solutions than previous methods. And this largely university-based effort is critical for enabling improvements in product manufacturing and the quality control process that accompanies it. But, given academia’s limited access to commercial application samples, most chemometrics publications deal only with the method development side of a given problem. If we are going to benefit a manufacturing organization, an industry, or especially society, the emphasis needs to be on the shift from this laboratory origin to a solid process implementation. Anything useful we devise must ultimately get used; if we fail to integrate proven technology into the day-to-day, the development process is simply an expense. The experience through the now five decades of implementing multivariate solutions has identified some steps, some barriers, and some low-hanging fruit. How do we succeed in pushing new technology the last mile? Register at APACT 2024.
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APACT 2024 Program is available

APACT USA 2024Venue: April 23-25, 2024 Hyatt Regency Hotel, New Brunswick, NJ Infometrix is a proud sponsor for APACT USA 2024 Conference. Get the program, list of key speakers, registration information and other details from the APACT website. Don’t miss out on this incredible opportunity to connect, learn, and grow at APACT USA 2024 Conference. Register at APACT 2024.
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APACT 2024 (Plenary) – Industrial Grade Chemometrics: from Laboratory to Process Implementation

APACT 2024Venue: April 23-25, 2024 Hyatt Regency Hotel, New Brunswick, NJ Presented by: Brian Rohrback, Ph.D., MBA, President, Infometrix, Inc. Abstract: The use of multivariate statistics, whether termed chemometrics or machine learning or (fill in the blank), is critical for industry to move from human-centered processing to more automated, objectively reliable processes. In the laboratory world, we seek to discover new routes for solving problems that will give us better solutions than previous methods. And this largely university-based effort is critical for enabling improvements in product manufacturing and the quality control process that accompanies it. But, given academia’s limited access to commercial application samples, most chemometrics publications deal only with the method development side of a given problem. If we are going to benefit a manufacturing organization, an industry, or especially society, the emphasis needs to be on the shift from this laboratory origin to a solid process implementation. Anything useful we devise must ultimately get used; if we fail to integrate proven technology into the day-to-day, the development process is simply an expense. The experience through the now five decades of implementing multivariate solutions has identified some steps, some barriers, and some low-hanging fruit. How do we succeed in pushing new technology the last mile? Register at APACT 2024.
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ATC 2024 – Fundamentals of Quality Control Employing Optical Spectroscopy

ATC 2024Venue: April 15-19, 2024 Galveston Island Convention Center Presented by: Brian Rohrback, Ph.D., MBA, President, Infometrix, Inc.   Abstract: Obviously, to control quality in manufacturing, one needs to have some way of measuring the quality of the process and the product. Also critical is to optimize the action plan on how to process signal to gain the information content, to deliver the answers, and to facilitate maintenance. The field of optical spectroscopy has been critical to QC operations as a set of non-destructive technologies providing insight into the chemistry of the product. Spectrometers can deliver chemical information quickly and the on-going cost of ownership is relatively low. The quality of the information content will be a function of the analytical technology behind the instrument (NIR, Raman, UV-Vis) and analyzer calibration; the calibration task is the only one that falls to the end user on a routine basis. Maintaining best practices for spectroscopic calibration and identifying areas where the process can be streamlined is critical to preserve the value in the company’s investment in optical spectroscopy. Register at https://www.analyzertechconference.org/.