How ThingaOS Can Change the Manufacturing Industry

How ThingaOS Can Change the Manufacturing Industry

With the release of ThingaOSTM, Tantiv4 has succeeded in addressing a wide range of issues with the IIoT (Industrial Internet of Things) and has emerged as a winner.

In manufacturing, if you can keep your assets up and running properly, it can save you a lot of money in the long run. ThingaOSTM can help you with predictive maintenance by leveraging ML. You can use cameras, sensors, and business intelligence tools to assess which equipment has malfunctioned. The following diagram represents a simplistic view of what can be done with ThingaOSTM in your manufacturing plant.

  • A fault is identified
  • An automated solution begins working
  • A comprehensive report detailing the events is generated
  • The report is sent to the relevant executives
  • Systems looks for faults

 

As you can see, by taking real-time data from IoT sensors and performing a repair at that exact period, you can make add much-needed stability and efficiency in the maintenance of your machines. This approach is better than routine repairs because it does not apply maintenance tasks based on a random date; it begins working exactly when your infrastructure needs it to act.

More than 80% of manufacturing businesses know that asset efficiency measures are the need of the hour, yet less than 20% have actually made use of them. There is a clear gap, and the industry is in severe need of a catalyst. ThingaOSTM can take the role of this enabler. It can help businesses find and keep an eye on assets during the entire supply chain. Thus, they can procure raw materials, make them into finished products, and ship it to the end-user. The role of ThingaOSTM is to add optimization, so the cheapest and quickest solutions are adopted at each phase and process of the supply chain. For instance, it can help the truck drivers who are tasked with the transportation of goods to take the closest route to their destination. Similarly, it can help to replenish inventory in time. Rather than managers ordering the items at the last moment, IoT-based sensors can send a message to the right channel to release another set of inventory before the current one runs out.

Product Quantity = 100

  • Stock is added to the inventory
  • It begins to be sold

Product Quantity = 50

  • Half of the stock is sold after two weeks.

Product Quantity = 20

  • Notifies the authorities when 1/5 of the stock is sold.

 

Manufacturing processes have become smarter with support from IoT and AI. However, often, information shared between IoT devices gets exposed. To address this vulnerability, ThingaOSTM can implement TNM (Trusted Network Module), TTM (Trusted Terminal Module), and TPM (Trusted Perception Module). It can also help you to perform data encryption and incorporate security measures like Secure Web Gateway, Application Delivery, Controller, and Web Application Firewall.

 

Final Thoughts

Regardless of which industries do you belong to, you must realize that IoT is not merely an option. It is the future to where the world is migrating towards, similar to how it embraced the Internet in the 1990s. At that time, early movers benefited a lot more than others. Similarly, you have the same opportunity. Get your business integrated with ThingaOSTM and lay the success of your organization on the foundation of IoT and AI. We, at Tantiv4, would make sure that you can get a tailored solution that can cut down your operational costs and improve the quality of your services to a whole new level.