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.
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.
The Paris 2024 Olympics highlight global unity and the crucial role of metrology in ensuring accuracy and fairness in sports. Precise timing in events like track and swimming, accurate measurements in javelin and cycling, and monitoring environmental factors all contribute to the integrity of the Games and uphold competitive excellence.
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?
Here we’ll examine challenges that the measurement environment imposes on machine vision and give approaches to mitigate the effects and retain much of the high-accuracy capability.
The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.
In today's competitive industrial landscape, adhering to quality management certification and audit standards is vital for consistency and excellence, especially in sectors like aviation and defense. These standards drive improvement and build customer trust. Understanding the audit process is crucial, as preparation varies by audit type, enabling organizations to effectively meet auditors' expectations.