There has been an uptick in emphasizing sustainability as a key driver of productivity and profitability in manufacturing. The integration of digital transformation and sustainability analytics, as highlighted by industry leaders, presents a significant opportunity to enhance manufacturing processes.
By leveraging advanced technologies like predictive analytics, digital twins and augmented reality, engineers can optimize machine performance while simultaneously reducing carbon emissions. This shift towards a more sustainable approach is not just about meeting regulatory requirements but also about creating economically viable manufacturing systems that contribute to long-term business success.
Moreover, the U.S. Department of Energy's focus on decarbonization and the substantial investments being made in sustainable technologies underscore the potential for significant industry-wide transformation.
Programmable logic controllers (PLCs) and programmable automation controllers (PACs) provide viable options for machine control. This Control Design collection explains the differences...
Motion control engineers tend to focus on torque and speed specifications during the design process, but often fail to notice the unique features that differentiate a high-quality...
This white paper describes advantages of using advanced angle sensor technologies and focuses on best practices for correctly implementing non-contact and touchless angle sensors...
