I always prefer to take the initiative to present the information—be it in a customer meeting, an audit, or other situation—rather than ask: “What do you want to know?”
In the Quality function of our organizations, we deal with a variety of activities: problem solving, decision making, project management, systems development, and much more. But few of them have the impact of communication.
In 2026, quality manufacturing will focus on statistical process control (SPC) and on integrating AI and machine learning. However, outside of this industry hype, there is a focus on practical and sustainable progress.
Statistical Process Control is a critical tool used in many industries to monitor complex processes that could pose a serious financial or safety risk. Decades ago, the automotive industry was looking for ways to improve productivity and reduce waste.
Some organizations may excel at implementing statistical process control and value stream mapping but may neglect to address how leaders interact with their teams. People-Centered Leadership asks leaders to move beyond transactional management and build relationships that support lasting quality.
Machine vision systems and data analytics now serve as essential components of modern production and quality control environments rather than optional tools.
What should I be using to inspect an internal diameter (ID)? Should I use a Fixed Limit gage or some Variable gage? Is a Variable gage or a Fixed Limit gage more accurate? To answer these questions, we must begin with a few more clarifying questions.
Explaining control charts is difficult due to the unappealing terminology in quality management. Terms like “control charts” and “Statistical Process Control” can deter understanding. Alternative names like “process behavior charts” haven't improved appeal either. Given the popularity of user-friendly tracking on smart devices, there’s a need to rebrand these tools to make them more accessible and engaging.
Manufacturers need holistic operational views to improve processes amid challenges like labor shortages and supply chain issues. Tools like Statistical Process Control (SPC) and Quality Management Systems (QMS) provide insights for stability, quality management, and regulatory compliance.
Quality assurance in manufacturing has focused on precision, but cybersecurity now poses a significant threat. Nation-state adversaries target operational technology to corrupt quality data and alter inspection processes, risking product safety and demanding urgent attention.
We all talk about the invention of the airplane, the automobile, or other important products, but we rarely talk about the fascinating history of Quality.