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Michelle Banger and Ed Goffin of Pleora Technologies discuss his recent article for Quality called “Cutting Through the Complexity of AI.” 

FMEA evolved as a risk management tool across industries. AIAG's 5th edition is for the automotive industry, while FMEA 4th edition suffices for healthcare.

Manufacturing ERP software impacts every aspect of a business and enables automation and data-driven planning for operational efficiency, which is crucial for maintaining profitability in today's market.

Stephen Greene, Vice President, Global Marketing and Stratus Strategic Partnerships of Intelligent Platform Solutions answers five questions on quality.

Globalization and digitalization have intensified competition in manufacturing. Some companies are using Bayesian hypothesis testing to optimize processes and make informed decisions. For example, a production manager could use it to improve the engine-cylinder-head-machining process.

Employing FMEA (Failure Modes and Effects Analysis) ensures ongoing enhancements in processes and products. By preemptively tackling potential challenges, it fortifies reliability, safety, and overall quality.

From Theodolites to Laser Trackers: A 40-Year Metrology Revolution. Witness how a technical field has evolved, enabling single-micron accuracy at your fingertips and powering smart factories for unprecedented efficiency.

Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.

In many production settings, machine operators are tasked with monitoring processes by taking samples and making adjustments as needed to maintain productivity. However, there's a question worth exploring: What if ignoring these data-driven adjustments and allowing the process to continue unchanged is a better strategy?

In their upcoming session at The Quality Show South, Sophronia Ward, PhD and Mark Nash CSSMB, will discuss the best ways to use data, how to use software without letting it use you, and other ways to improve your manufacturing processes.