7 Reasons Cloud Data is Driving the Future of Auto Manufacturing
Storing and analyzing auto manufacturing data in the cloud has several advantages automakers can't afford to miss. Here's a closer look at these benefits and why cloud data will drive the future of auto manufacturing.
WCX World Congress
Mobility engineers will learn how to address the energy and environmental challenges of vehicles through the application of next generation electrification, emissions reduction, and lightweighting technologies.
How Team Penske Uses 3D Printing To Get An Edge In Racing
Alex Knapp for Forbes: That push for innovation is one reason why Team Penske signed a deal with 3D printing company Stratasys earlier this year for technical support and services.
Peugeot Teams Up With 3D Printing Startup for Parts and Possibly Full Cars
Daniel Bentley for Fortune: French carmaker PSA said on Thursday a partnership with a U.S. 3D printing startup would lead to cheaper production of whole vehicle structures as well as parts for its models.
The maker of Peugeot, Citroen and DS cars said it had agreed with Los Angeles-based Divergent 3D to develop metal printing processes for PSA production lines.
Carlos Tavares, PSA’s chief executive, said this could “dramatically scale down the size and scope of our manufacturing footprint” and yield lighter, more profitable vehicles. The carmaker did not quantify any impact on production jobs.
Industries from aerospace to healthcare use 3D printing for the production of metal and plastic components, while elaborate assemblies with moving parts often prove more difficult. Ford is among other carmakers exploring the technology. Cont'd...
Volvo Construction Equipment Digs Up Prototype Savings Of 18 Weeks And 92% Of Costs
Since 3D printing the prototype cost $770 and took only two weeks, including both design and development, VCE completed its testing much sooner than traditional methods would have allowed.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
