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?

The first part of this series covered the basic principles that make high-accuracy measurements possible for machine vision. The second part of the series looked at challenges to accurate measurements due to the application conditions. This third part looks at characteristics and components of the vision system that can limit the achievable accuracy.

American manufacturing is making a comeback, fueled by billions in investments and new technologies. This reshoring not only boosts job quality and economic opportunity but also mitigates supply chain risks exposed during the COVID-19 pandemic. But is there a catch?

Initially seen as science fiction, machine vision in manufacturing faced hesitance due to high costs and lack of awareness. However, interest has surged, shifting the focus from "Can it be done?" to "How will we do it?" This reflects significant transformative changes in the industry.

Automated processes are vital in industrial production, with robots handling finished products and sorting parts for quality assurance. Equipped with 3D cameras and machine vision, they accurately identify and grasp items from disordered bins.

The NextGen Global Advocacy Committee addresses the needs of young professionals under 40 or with less than four years of experience through a framework of understanding, engaging, and preparing for leadership. Recognizing that Millennials and Gen Z value inclusivity, networking, and technology integration is crucial for organizations like ASQ to meet these evolving needs and maintain a competitive edge.

I looked into national voices for manufacturing and visited the NAM (National Association of Manufacturers), which has about 14,000 member companies employing around 13 million people. NAM advocates for manufacturers at the government level and has been focused on bringing manufacturing back to the U.S. since 2020.

Statistical process control (SPC) charts are crucial for process stability, especially with improved data collection. Introduced by Walter Shewhart in the 1920s, SPC uses random samples to estimate statistics and assess variation. With better data availability, techniques like the Rbar method, which estimates standard deviation using subgroup ranges, need reevaluation.

In a world where every minute matters, a car rental turns into a frustrating ordeal of delays and inefficiencies. Will I reach my important meeting on time, or will I be exposed to the 8 deadly wastes?