Manufacturing IT, MES
thyssenkrupp Materials IoT GmbH (tkMIoT) has been created to connect machinery and digitalize processes for other companies.
The artificial intelligence of things (AIoT) is creating great value for manufacturers and other companies by combining the internet and AI.
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.
Leveraging a mobile human-machine interface (HMI) strategy can help an organization’s digital transformation by improving operations and a company’s overall digital intelligence.
Automation future: The Industrial Internet of Things (IIoT) and Industry 4.0 are widely known concepts, have not been widely adopted. On the way, physical device data connectivity can increase information flow to add efficiency, eliminate errors and increase uptime
Control Engineering's most clicked articles in August 2019 included stories about managing an engineering career, digitizing reality, evaluating controller options, intelligent decisions with the cloud, and more. Miss something? You can catch up here.
Researchers at the University of Washington used machine learning to develop a system that monitors factory and warehouse workers and tell them, in real time, how risky their behaviors are.
Companies should be looking to benefit from the potential of technologies such as artificial intelligence and edge computing for business success and competitive advantage.
Articles about digitizing reality, using the cloud for business, long battery life, making the IIoT work, and IIoT's effects on the motor business were Control Engineering’s five most clicked articles from August 12-18. Miss something? You can catch up here.
Continuous asset optimization (CAO) combines smart manufacturing technologies with cutting edge statistical, data-driven and physics of failure modeling techniques.