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EOSYS upgraded a PLC-based control system for a major natural gas transporter, where an operator's suggestion to run two units independently prompted a significant design change. This idea led EOSYS to propose a standalone control system for the utility function, transforming the project.

Last month we introduced you to the newest member of the Quality staff. This month, we bid a fond farewell to a long-standing member of Quality and the quality industry.

This article discusses the important aspects of using and caring for thread and cylindrical limit gages to ensure accuracy and extend their lifespan.

My career in employee involvement initiatives has shown me that while top management commitment is essential for successful quality programs, gaining middle management buy-in is equally important for translating that commitment into action.

Manufacturing companies must document greenhouse gas emissions, energy usage, and hazardous materials handling due to new sustainability regulations. The SEC Climate Disclosure Rules require public companies to report emissions, and private manufacturers may also face pressure to disclose similar information, according to Marcel Minutola of Peritia LLC.

Quality Infrastructure (QI) is vital for ensuring quality and safety through metrology, standardization, and accreditation. However, concerns arise about whether the QI has kept pace with these changes.

Auditing is a journey that demands a positive attitude, effective planning, and clear goals. Auditors require essential skills to achieve the audit objective, ultimately delivering value by identifying findings that save time and money. While preparation can be challenging, knowing key strategies for successful auditing can make a big difference.

Metrology significantly impacts our daily lives, and without it, many would argue that societal advancement would not be possible. Accurately building anything requires accurate measurements.

In a recent article for Quality called, How Generative AI Could Revolutionize Manufacturing Quality Functions, Graney said, “AI - ranging from generative, predictive, and “simple” machine learning - is poised to address the manufacturing challenges by automating data analysis, integrating multiple data sources, and providing real-time insights.

Getting started with machine vision and automated inspection is easier than ever, despite the gap between hobbyist and industrial tools. You can make significant progress with dedication by using rapid prototyping, open-source tools, and engaging with a supportive community.