Lean thinking doesn’t just require casting aside what was learned in school or on the job – it also calls for re-thinking beliefs that may have been held since childhood.
Many continuous improvement (CI) champions encounter resistance to adopting the necessary mindset, often perceiving individuals as closed-minded or too comfortable. Unlearning long-held beliefs can be stressful, especially for those whose careers depend on them, and psychologists note this process can often be harder than learning new skills—particularly for the most successful individuals.
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.
Orders of manufacturing technology, measured by the U.S. Manufacturing Technology Orders (USMTO) report published by AMT – The Association For Manufacturing Technology, totaled $360.8 million in August 2024.
If given the opportunity, existing employees are often keen to learn the enhanced processes and specialized equipment that today’s manufacturing requires.
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.
Like any good quality tool, a structured approach to attracting, retaining, and developing NextGen leaders can profoundly impact the quality profession.
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.
Zygo, a business unit of AMETEK, Inc., announced that two of its distinguished team members, Dr. Peter de Groot and Dr. Vivek G. Badami, have been recognized by the American Society for Precision Engineering (ASPE) for their significant contributions to the field of precision engineering.