Preparing to Integrate IIoT
How can controls, automation, and instrumentation help with integration and use of Industrial Internet of Things (IIoT) technologies?
5 Benefits of Using a Rugged Thin Client
When plant operators turn to a virtual desktop infrastructure to run their industrial plant processes, they need an endpoint device that can reliably deliver the efficiency they are looking for in spite of harsh plant conditions.
Smart Utilization of 3D Printing Equipment and Materials Facilitates Continued Innovation
Graphical representation of an idea often falls short of the impact of a 3 dimensional expression of the concept. Cars utilizing 3D printed components have graced auto shows for years.
Creating a Flexible Manufacturing Facility Using Automation Technology
In terms of manufacturing, flexibility refers to the machines being adaptable and responsive to change. In the case of flexible manufacturing, the machines are able to adapt processes and scale their operations according to different situations...
Manufacturing Jobs in the Gig Economy
In order for a manufacturing company to truly scale and catch up to the technology demands of their business, they need to identify and secure talent at all levels that help them meet their demands in real time.
MiR200 Improves Safety, Quality, and Competitiveness at Metro Plastics
Using the robots built-in Wi-Fi interface, operators will use tablets installed at each press to call the robot to pick up finished products and take them directly to the quality department, optimizing the robots use.
Perfecting Diffusion Bonding
Specialized furnaces with integrated presses provide superior control of pressure and temperature to create better diffusion bonds when joining similar or dissimilar metals.
AI's Role in Overcoming the Manufacturing Hiring Crisis
The manufacturing industry is facing a hiring crisis. According to Deloitte, by 2025, the manufacturing skills gap will result in a need for 3.4 million skilled workers, and 2 million of those roles will go unfulfilled.
Using IoT for Machine Learning-based Predictive Maintenance
By tapping into existing maintenance or equipment logs, a manufacturer can apply machine learning to predict which connected devices or machines will be in need of servicing or forecast required inventory levels across warehouse locations...
Taking an Independent Path: Strategies for Low Risk Sourcing of Components in a Constrained Market
Industry looks to independent distributors to address chronic shortages in the availability of electronic components.
Visit the Inside 3D Printing Show
Looking for an interesting winter vacation? Why not head to Mumbai, India for the Inside 3D Printing show? It will be held on the 19th and 20th of December, 2018. Inside 3D Printing Mumbai is in its 4th year and it is Indias premium exhibition for Additive Manufacturing.
Why Disaster Preparedness Is Important in the Manufacturing Industry
Being prepared can help prevent costly equipment or facility damage. You can't avoid every disaster, but being ready for them when they do occur can help reduce downtime and save you a lot of money on equipment repair and replacement in the long run.
Same Old Problem, Brand New Solution
A completely replaced controls system. 5 panels with all they contain. Under 7 days downtime. 100% production on day 1.
The Cost and Performance Benefits of Switching From Metal to Plastic Parts
Converting metal components to plastic could provide more advantages for your production process and final product. In fact, OEMs that choose to make the switch capitalize on the added versatility of plastic, and realize a number of valuable benefits
Addressing Remote Locations and Security with SD-WAN
Think of AR in an IIoT manufacturing context: now technicians with AR can remotely monitor, change and maintain systems without putting the operator in danger; however, AR requires a massive amount of network resources.
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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.
