AI in Industrial Automation Summit
The Industrial Internet of Things (IIOT) is bringing us the factories of the future with the implementation of AI to help optimize and scale operations through predictive maintenance, improved safety amongst others.
Manufacturing & Industry 4.0
Wikipedia defines Industry 4.0. as a name for the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing.
Supply Chain Visibility for Increased Quality and Efficiency
The issues associated with supply chain visibility can be daunting. Supply chain visibility may have, up until now, seemed like a "good to have" ability in the shipping and distribution of pharmaceutical products.
5 Tips for Improving and Maintaining Heat Exchanger Efficiency
Energy equals money and if it is not being used optimally, it is money that you are losing every minute. So, follow these tips for improving your heat exchanger efficiency and save fuel in almost any application.
Industrial Robots: Encoders for Tool Center Point Accuracy
The use of secondary encoders on all of a robots axes, as well as the use of linear encoders for positioning the robot relative to the workpiece, enables a high level of accuracy at the tool center point
Industry 4.0: How Data Analytics Will Drive Organic Growth for Industrial Manufacturers
In a recent PWC survey on Industry 4.0,which involved over 2,000 participants from nine major industrial sectors, data analytics emerged as one of the biggest challenges in the transformation from analog to digital operations on the production floor and beyond.
Everything You Need to Know On Industry 4.0
On a broader scale; IoT, combined with Cloud Computing, Mobile and Digital technologies will enable an integrated end-to-end process in the supply chain the likes of which weve never seen before.
Twin Totalizers Send Your Flow Meter Pulse or Analog Signals to the Network for Metering or IIoT Remote Monitoring
Increasingly in the age of energy management in process, manufacturing and BAS, the need for companies and organizations to not only record and manage the energy or water usage but also sub-meter, an Ethernet transmitter with totalizer function is essential.
The ADDere System by Midwest Engineered Systems
The ADDere system is a wire fed DED (direct energy deposition) additive manufacturing solution. The solution is designed to provide near net shape structures using hot wire and laser power.
Chain, Chain, Chain
As consumers and participants in the supply chain demand greater transparency, blockchain has the potential to transform how information about a food product flows from farm to fork to ensure quality and safety by adding greater visibility and efficiency to the process.
Talking 3D Printing in Manufacturing with Materialise
Besides the freedom of design, 3D Printing has two crucial advantages for manufacturers: short lead times, and cost-effective mass customization. These advantages allow manufacturers to realize entirely new business models backed by digital supply chains
Spring Assemblies and Medical Devices: What to Think About Before You Design
When you are working on designs for new medical equipment, thinking about the components you will have to bring together and the systems they will create is essential.
3 Ways IoT is Disrupting the Supply Chain
Once viewed as the latest IT fad, the IoT is now gaining real traction as a legitimate platform business connectivity - and tech-savvy companies are already reaping the benefits.
Successful Digital Transformation in Industry 4.0 Starts With Human Operators
Human Machine Interface (HMI) is present when human interaction with an automated device becomes necessary. HMI is present now more than ever due to the need for more reliable hardware, higher data security, and efficiency.
More Mistakes That Manufacturers Make
Last year, I wrote about the Common Mistakes That Growing Manufacturers Make (June 2017). Well, here are a few more examples of how manufacturers can avoid serious problems and reduce risks, costs, and streamline their business processes.
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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.
