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.

LARTC 2024 – Find us at booth 52

Venue:
September 3-5, 2024
Cartagena, Colombia

Booth: 52

Latin American Refining Technology Conference (LARTC) is the number one downstream event in Latin America where major refiners will gather to network and share the latest in technology and collaboration opportunities. Infometrix will be at booth #52. Come visit us as we share solutions to save time, resources, and to reduce manual workload. Eliminating retention time shifts in chromatography and automating calibration for optical spectrometers to enable better models and optimize use of personnel will be the focus. We look forward to seeing you. LARTC 2024

GCC 2024 – Machine Learning for Spectroscopy Calibration

GCC 2024Venue:
October 15-16, 2024
Moody Gardens Convention Center, Galveston, Texas 77554

Presented by: Brian Rohrback – Infometrix, Inc.

Abstract Number: 119

Abstract: Artificial intelligence and machine learning are inevitable results of the work driven by the consumer side of our economy. The question is not whether it will impact refining and chemical plant operation, but how soon and how long it will take for the benefits to outstrip the costs.  The goal is to provide practical guidance for making progress in this complicated set of fields. Machine Learning is critical to interpreting output from any type of spectrometer and improves the flow of information providing a significant leg up for process understanding. The key is to fully automate spectroscopic calibration. Gulf Coast Conference 2024

GCC 2024 – Eliminating Retention Time Variability in Chromatography

GCC 2024Venue:
October 15-16, 2024
Moody Gardens Convention Center, Galveston, Texas 77554

Presented by: Brian Rohrback – Infometrix, Inc.

Abstract Number: 120

Abstract: The heartbeat of the process environment is in the data we collect, but we are not always efficient in translating our data streams into actionable information. For many applications, gas chromatography is the richest source of hydrocarbon process information and is the cheapest, most adaptable, and most reliable technology available.  We can use technology borrowed from other fields to provide more consistent and objective GC results, automate translation of the raw traces into real-time information streams, and create databases that can be used across plant sites or even across industries. Gulf Coast Conference 2024