Industry-wide, use cases have been proven, IIoT platforms have shown their effectiveness and potential, and roadmaps to success have been developed as opposed to the mere visions imagined just a few years ago.
Although 2011 is considered the unofficial start of the fourth industrial revolution, U.S. manufacturers have reported zero average growth in labor productivity over the past five years - despite continual improvements in equipment, software and management approaches.
Among the wealth of use cases for AI & ML in manufacturing, one rises above the rest in terms of feasibility and impact - predictive maintenance. Predictive maintenance addresses the age-old challenge of ensuring maximum availability of critical manufacturing systems.
Siemens and Dassault Systèmes Take Top Spots in ABI Research's Manufacturing Simulation Software Competitive Assessment
ABI Research chose these vendors for the assessment due to their simulation capabilities in discrete manufacturing specifically, where software is used to simulate physical processes digitally to optimize engineering, planning, and operations on the factory floor.
The hardware that makes up the IIoT is as varied as the data itself, and making decisions about what and how to deploy can be a significant challenge for manufacturers- especially when so much is riding on the decision.
You can lower labor costs, increase accuracy and reduce processing time by automating the control panel modification process. The Rittal Automation Systems Handbook identifies products that provide solutions to all of these plus more.
Schneider Electric Launches First Smart Factory in the U.S. Demonstrating Quantifiable, Real-Time Benefits of Innovative EcoStruxure Solutions
The facility is a showcase for sharing IIoT integration strategies with End Users, Machine Builders and Partners. The Smart Factory has tracked quantifiable benefits from IIoT implementation, including a 20% reduction in mean time to repair and a 90% paperwork elimination.
ZebraTechnology today announced the results of its 2024 Warehousing Vision Study, analyzing IT and operations decision makers' strategies for modernizing their warehouses, distribution centers and fulfillment centers.
Choosing the right compact enclosure is overwhelming. Hundreds of choices in materials, configurations and ratings can lead to confusion and mistakes when specifying the right product.
Modern manufacturers face key challenges to reaching their Industry 4.0 potential. MarkLogic knows data is your greatest asset to better serve customers, improve products, and navigate those complex environments.
IT/OT convergence is fundamental to today's smart factory. Manufacturers are certainly aware that it is something they need to nurture, to really benefit and achieve ROI from IoT technologies, but what exactly will change to organizational structures and team cultures bring.
Commentary from Ramona Schindler, General Manager Machine Tool Systems, Siemens Switzerland. Most shops, even the smallest ones, have obviously been gathering data and logging it in a production-schedule format of some kind for many years.
Digitizing manufacturing and the supply chain require that technologies can connect assets, collect data and extract information. Our 0G network enables this by allowing real time data access and visibility. As a result, we help customers transform information into action.
"What makes the digital thread so important is that to leverage all the data, you need to also manage how the data connects to the rest of the operation and how it flows from one process to another."
With NIMS' emphasis on manufacturing skills training, credentialing, and standards, plus Festo's complete Industry 4.0 learning Factories, courseware and eLearning integration, the two organizations are well poised to provide the training programs for Industry 4.0.
Records 1 to 15 of 143
Cutler has authored more than 7000 articles for a wide range of manufacturing periodicals, industrial publications, and business journals including most of the leading monthly trade publications.