Environmental, Social, and Governance (ESG) goals have become increasingly important for manufacturing organizations as they strive to align business practices with societal expectations.
Industry experts discuss the new shades of “green jobs,” the pivotal role of quality departments in achieving sustainability goals, the challenge of talent gaps, the need for a broader view beyond compliance, and the essential training paths to foster a more resilient, inclusive future.
In a world grappling with climate change and societal demands, the manufacturing sector must align with Environmental, Social, and Governance (ESG) goals.
ISO standards provide a framework for organizations to operate efficiently, ensure product quality, and meet regulatory requirements. Their benefits are far-reaching and impactful.
Advancements in technology are making SPC software more user-friendly and accessible. New features such as machine learning and predictive analytics are being added to SPC software, making it even more indispensable to an organization.
Advancements in digital color measurement technologies and cloud-based software have transformed color quality control, enabling greater accuracy, efficiency, and sustainability, while automation and circular economy principles are driving further innovation in the industry.
The pandemic has only fueled the worker shortage, prompting manufacturers to embrace automation in large numbers. Senior leadership can ensure robotics are implemented correctly.
As manufacturing requirements continue to increase, and reshoring and lack of personnel continue to challenge the manufacturing industry, robotics can help.
Universal testers are essential to quality in many industries because they help engineers understand the performance of materials, components, and products under various loading conditions.
Automated robotics are the best way to mimic a human in a factory environment, experts say. A robot's automated camera could replace a person's eyes, a PC would represent the brain and robotic arms are movement.
Beyond the growth in applications brought about by improvements in CMOS sensor technology, another significant trend is the increase in applications that extend beyond the visible spectrum.
A smart camera in the machine vision market is defined by its system architecture, experts say. Specifically, a smart camera packages an imaging sensor, sensor interface, computer, and I/O interface into a single package.