We are going to be dissecting six data integrity issues that require resolution prior to taking any further steps into the overall quality control process.

Are you throwing away a significant portion of your budget without realizing it? How often do engineers, scientists, and analysts regenerate knowledge work—solving problems or similar problems that have already been solved?

Compression testing is key in materials science for evaluating how materials respond to compressive loads. It helps determine mechanical properties like stiffness, strength, and fatigue life. This overview covers the testing process, material properties, standards, applications, challenges, and best practices.

Time series analysis enables manufacturers to track quality data, revealing patterns, trends, and anomalies to maintain consistent production standards. This method can be applied to daily production output or hourly quality measurements.

This month, I'm honored to speak at the ASQ Columbus (Ohio) Section’s annual conference on the theme "What is in Your Toolbox?" I'll discuss the seven basic quality tools I've extensively used over my 30+ years as a quality professional. Interestingly, unlike with my children, I do have a favorite among these tools.

The hype around "big data" has mainly aimed at niche market sales without delivering expected benefits. Similarly, the business world's obsession with Lean Six Sigma has shown minimal returns on investment. In contrast, over the last 25 years, I've leveraged small Excel files to significantly cut costs and increase profits, often by millions of dollars, through a reliable sequence I discovered.

The GBX 10 Gigabit Ethernet Module provides safe and reliable data transmission for advanced automation.

Comprehensive device integrates advanced communication protocols and edge computing for enhanced productivity and security, ensuring safe data export from machines to factory networks.

In today’s industrial landscape, IO-Link enables seamless data exchange for efficient operations.

In today's tech-driven world, companies use software to collect data, but the analysis can be flawed. Charts with only specification limits, arbitrarily chosen warning and action limits, and misused Process Behavior Charts contribute to misinterpretation.