Artificial intelligence (AI) is gaining favor as a solution for quality problems, but many manufacturers struggle with the perceived cost and complexity of implementing new technology.
When beginning an ISO 9001 implementation, organizations often ask whether they should tackle the project on their own or if it would be worthwhile to bring a consultant in to help accomplish the task.
Manufacturers are facing a troubling scenario: the need to maintain production levels in the midst of the largest workforce shakeup in our lifetime. The Industrial Internet of Things (IIoT) provides a highly effective, flexible and cost-efficient solution.
Swedish philosopher Nick Bostrom once said, "machine intelligence is the last invention that humanity will ever need to make". AI decision making, with real time communication and data analytics, has the ability to transform the way manufacturers understand machines.
Establishing cost-effect fabrication processes for microLED displays has proven to be challenging, and manufacturers are still working to close the gap between promise and market reality.
Part of optimizing any logistics operation is to make sure that you are not incurring additional and lasting costs on the path to speeding up your rate of fulfillment. The goal is to move more product through your system and out the door - but you also must watch expenses.
Without making wholesale production changes, factories can improve process efficiency with machine learning (ML). ML can increase production capacity by up to 20% while lowering material consumption rates by 4%.
Q&A with Chris Nicholson, CEO of Pathmind. A digital twin is at once capable of simulating things that have never happened before, as well as mirroring a real, underlying physical reality and monitoring its performance.
The edge is an essential layer of the manufacturing technology stack. Machines on the factory floor collect vast amounts of raw data from various sources using numerous protocols, which all needs to be processed quickly to gain actionable insight.
With rapid advancement in automated and connected technologies, managing both new and old equipment simultaneously can be a challenging balancing act.
Siemens used IoT sensors and data analytics to create a digital twin of the factory. By analyzing and adjusting various parts of this model, the facility could see where inefficiencies were and which changes would have the greatest impact.
While PLCs control mechanisms, electronics, and other low-level devices, HMIs empower operators with visualization and touch controls. Together, HMIs and PLCs pave the way for efficient and flexible industrial workflows.
Given the criticality of usable data at scale for Industry 4.0, many manufacturers have turned to ISA-95-probably the most commonly recognized data-modeling standard around the world-for guidance.
The Intel announcement is a recognition of the value of U.S.-based manufacturing, and the business will support a very long supply chain of semiconductor assembly tool designs and manufacturing in the U.S.
Manufacturers must know what challenges they face and how to overcome them to make the most of these investments. Here are the most common automation challenges and how to address them.
Records 1 to 15 of 1049
Automation & Networking - Featured Product
Today Industry 4.0 captures the imagination of wire makers. It introduces change. Automation, robotics, and data analytics affect the way wire is made and how well companies compete on the world stage. You are invited to explore the possibilities at The Wire Association's Virtual Industry 4.0 conference, Oct. 26-27, 2021. Hear from the machinery makers and software suppliers who can help you realize your goals. Learn what these changes mean for your plant and personnel. And find out what is imminent and what is already here to stay.