IoT Applications in Manufacturing

By NIIT Editorial

Published on 29/03/2021

6 minutes

Even when it was in its infancy, technology changed the way people interacted with the physical environment and they learned certain things from it. Other than self-driving cars, smart cities, and internet-enabled bulbs, technology is slowly introducing the world to what it can do for the planet. Enterprises can now execute data-driven insights into their business models to increase the ROI. Also, organizations, in today’s scenario apply insights that they churn out from tech-based sensors to the business operations to reap benefits from advanced tools and techniques.

Leading analysts revealed that IoT-enabled devices will grow to 30bn from 20bn by 2022- which means an economic impact of around multi-trillion dollars. If this data is leveraged to unlock benefits reaped from the economic impact, it will demand insights and patterns through the right way of analytics.

500 million photo uploads on both Facebook and Instagram. Around 500,000 hours of video uploads on YouTube. 8.4 billion connected devices. Social Media and the mobile internet have empowered people to become generators of data and the Internet of Things has always worked in tandem with them.

The Why and How of it -

Unlike traditional methods that returned minute gains, the benefits that companies are reaping by leveraging big data analytics are now proven and extensive. Like every other industry, the manufacturing sector is also transforming significantly by embracing big data solutions. This is where ‘Analytics Oriented Process Re-engineering’ comes into play. To reduce costs, increase yields, improve productivity, and derive actionable insights, integration of advanced analytics into core processes has become imperative for the manufacturing sector- and this is what AOPR is set to achieve. 

Saying Yes to Automation -

IoT is helping the manufacturing sector where automation and computers converge in a unique manner with different robotics connected to numerous machine learning algorithms – equipped computer systems. These computer systems promise to control robotics eliminating the role of human operators. IoT has introduced the world to the concept of a ‘smart factory ‘also has enormous applications for manufacturing and industrial process orientation. This one-of-a-kind technology goes beyond the abilities of the core manufacturing realm and excels across systems to include the latest technologies such as Big Data and Analytics and Industrial Internet of Things (IIoT).

A driving force for Industry 4.0?

The ability to utilize the deluge of data is imperative for an Industry 4.0 process/setup to help in improvements and innovation. In this sector where cyber-physical systems can improve productivity in the supply chain and the overall production process, the IIoT is all set to decentralize production processes, where higher visibility and unified interoperability between resources is going to transform the ‘batch level to ‘unit-level.

s looking to set in motion the conversion of a ‘smart manufacturing system’ into a ‘smart decision-making setup’, comprising autonomic and proactive analytics capabilities. Several leading players in the manufacturing landscape, like Cisco, GE, Bosch, and Siemens, among others, have already embraced the concept of smart manufacturing and ‘AOPR’, while the rest of them are busy considering or implementing immediate transformation efforts. Unleveraged data awaits to solve numerous manufacturing challenges faced by manufacturers today-and the right time to integrate the technology into the core process is now!

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