IIoT Data Analytics in the Manufacturing Industry

Businesswoman enjoying the benefits of IIoT data analytics in her manufacturing company

We now live in an era where people can use advanced analytics to see the future, therefore, IIoT data analytics can provide real-time insights that can help you increase production and guide your workers in making the right decisions at any time.  

These capabilities are possible thanks to Industrial IoT, which is enabling unprecedented operational efficiency, productivity, and performance as never before. 

Manufacturing industry leaders who invest in IIoT report benefits such as increased productivity and efficiency. It is important to remember that IIoT applications will continue to expand.  

Real-Time Asset Monitoring 

Manufacturing companies use IoT assets to help link machines and systems, a paradigm shift which gives way for real-time asset monitoring. The ability to monitor equipment in real time for safety, compliance and reliability is possible with coupled assets. Remote manufacturing is a big user of asset monitoring. Sensors help track production and communicate status to the appropriate personnel. 

In addition, it provides a platform for asset management and control, allowing you to make timely and proactive manufacturing decisions. Tracking assets in manufacturing allows for easy monitoring of key equipment, final products, and inventory.  

This is useful to aid in logistics, maintain inventory, and prevent quality problems. 

The smart metering solution not only helped in saving billions of gallons of water, but also in accurate billing to improve revenues & real-time visibility of water consumption, leakage, wastage, theft, meter health and many more operational efficiency KPIs.  

Connected Operational Intelligence 

Manufacturers can create intelligent networks by connecting their machines/equipment. These networks communicate with one another autonomously and require little to no intervention from operatives. This use case allows organizations to gather and contextualize data from remote manufacturing systems and assets into actionable applications. 

This provides proactive insights into key performance indicators, allowing for faster problem identification and improvement of operational performance. 

Companies can also interconnect different operational data centers through IIoT to unify them and enable real-time data visibility across various manufacturing systems.  

IoT-enabled machinery makes connected operational intelligence possible. This transmits real-time insights to manufacturing stakeholders, enabling them to remotely manage factory units. 

Predictive Maintenance of Assets 

Machine maintenance costs millions of dollars. But, at least, if equipment maintenance were done promptly, it would not cause production pauses. 

Manufacturing companies could enjoy a drastic reduction in their operational costs if they were able to detect downtime before it occurred. But how could they do so? Well, machines can now predict machine failure by using sensors, data analytics and cameras in IIoT. 

This detection allows for strategic maintenance schedules that can only be executed when necessary – even before any glitches occur. 

Manufacturers use IIoT to create efficient, competent, and automated manufacturing processes. These maintenance schedules can be set up autonomously, rather than being dependent on inexperienced maintenance personnel. This allows for better-planned maintenance, which can lead to huge cost savings and increased life cycle. 

Summary 

The Industrial IoT can transform manufacturing. Smart manufacturing powered by IIoT data analytics is vital as the global market and industry dynamics force manufacturers to rethink their operations. 

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