Data is constantly the talk of the town. Manufacturers have the ability to collect data on almost anything. So the question becomes, what data should you collect? We identified eight key performance indicators (KPIs) that manufacturers should track and why.
For us to understand how to avoid a Quality Alert, we must understand what it is. By definition, a Quality Alert within the Manufacturing Industry is an official notification from the customer of the defects within a supplier’s delivered parts. In a typical manufacturing scenario, after a manufacturer receives a Quality Alert, the supplier is then required to construct and follow a remediation plan to avoid the described defects in all future deliveries.
For the 5th year in a row, the Industry of Things is taking place on March 11-13th at the Paradise Point Resort and Spa in San Diego. The event focuses on the impact of the industrial IoT on business models, manufacturing processes and operations across all major...
Companies with plans to implement IIoT communications are concerned that EtherNet/IP may not be secure from external, unauthorized entities. To address these concerns, ODVA developed CIP Security for EtherNet/IP.
12 Critical Pre-Implementation Steps for a Successful EtherNet/IP Project White Paper EtherNet/IP product development that lacks preparation on requirements and available resources could result in project delays, expensive development changes and failed conformance...
PROFINET– what do you really know about it? Perhaps just that it’s a protocol– maybe even that it’s a standard Ethernet protocol. Let’s clear up any questions or uncertainties you have about what PROFINET is and why it has one of the largest installed bases of any Industrial Ethernet protocols.
As industrial manufacturing companies looking for solutions knew that first and foremost, they needed greater visibility into their operations– especially real-time visibility. Instead of relying on unsatisfactory communications between machines and applications, they turned to integrating IIoT with their legacy systems.
Discover how this vehicle manufacturer reduced time and costs of field vehicles maintenance, increased customer satisfaction and decreased the complexity of their ECUs.
With more sensors now existing on the planet than people, companies are looking for new ways to reduce latency and increase security in their IIoT data. The answer they’re finding? The “fog.”
It seems that IIoT is disrupting the industrial sector in the best way by guaranteeing these improvements, but the fact is that most companies are not correctly or effectively implementing IIoT. Because IIoT gathers huge amounts of quantitative, largely unstructured data through sensors, your current analytics system is likely to be overwhelmed. Luckily, you just need one key to unlock the treasures that IIoT data has to offer: artificial intelligence (AI).
IIoT (Industrial Internet of Things) is how we connect our machines to an infrastructure instead of connecting machines to applications. IIoT has helped manufacturers make such amazing strides in increasing quality control, traceability, sustainability and overall efficiency that it’s even been called our next Industrial Revolution.
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