Value stream mapping is a powerful tool that reveals every step of your activity cycle, helping you identify what drives success and what doesn't. By spotlighting high-impact initiatives and streamlining less valuable ones, you'll optimize efficiency and maximize results. Discover what truly works and transform your business today!

Quality assurance (QA) meets artificial intelligence (AI). How can they coexist safely? Integrating AI into QA brings opportunities and risks, especially in safety-critical environments. Balancing rigorous standards and human oversight is crucial.

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

I kept waking up at 7:47 and also noticed the same time on the clock in the evenings. When I mentioned it to my niece, she said it happens to her too, at a different time of the day.

A paper released by the U.S. Energy Information Administration (EIA) addresses the importance of renewable energy in mitigating climate change and the challenges posed by the global energy crisis. It emphasizes the need to improve energy efficiency in response to increased energy consumption worldwide.

Leaders prioritize efficiency and productivity over quality management, compromising long-term standards, evident in the widespread adoption of operational excellence programs like Lean and Six Sigma.

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.

The concept of Kaizen revolves around continuous improvement by making small changes on a regular basis. It involves every employee contributing improvement suggestions regularly, creating a culture focused on small, continuous improvements across the organization.

Quality professionals use deep learning AI to quickly identify and prevent significant product defects, bringing a substantial leap forward in quality assurance and process improvement. Unlike traditional automation controllers, deep learning allows computers to proactively grow their knowledge base and adapt to evolving circumstances.

In quality for a long time, I believe in a "quality renaissance." The glory days of quality are expected to start in 2024, driven by risk. This piece explains what's happening and how you can profit, referred to as "upside risk."