Understanding How Industrial Internet of Things (IIoT) is Changing The Manufacturing Industry

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The world has become more linked as the Internet of Things (IoT) reaches beyond the home and office to various industries and factories. In the past few years, manufacturing companies around the world have started to commit their time & money in Industrial Internet of Things (IIoT) initiatives to hasten the era of IT-driven smart manufacturing.

As IIoT solutions experts provide a much better frame, well-defined strategies and clear picture of your business, many manufacturers have started to evaluate, what are the future possibilities of implementing the IoT and smart manufacturing.

The global manufacturing business is going through a huge transformation. And IoT is driving this transformation. IIoT is not only influencing manufacturing effectiveness but also identifying smarter ways to operate.

Industrial IoT can control the data from machines and transform the processes and systems of the new age manufacturing environment. Real-time operational efficiencies in manufacturing are driven by changes in manufacturing process, supply chain, robotic plants, embedded systems and connected devices.

These all assist in reducing risks and at the same time create innovation. If you’re a manufacturer and till now dismissing IoT solutions, there is a risk of falling behind your competition and losing business that values earnings and innovation.

In this blog, we explained the ways Industrial IoT will impact the manufacturing sector. Let’s check some key takeaways;

Much Better Maintenance

When you are into manufacturing business, one of the biggest concern is maintenance. Maintenance is always time-consuming and expensive. The evolution of Industrial IoT solutions has decreased this concern to a great extent. IoT enables product efficiency and machine operating efficiency.

A single breakdown in a part of a machine in production can hamper the entire production system. IIoT solutions enable manufacturers to increase insight and with the aid of analytics, they can look through the data. 

Machines can be inspected and you can catch a breakdown much before it happens. This will save a great amount of maintenance cost and you can also plan the anticipated maintenance time to make things ready.

Digitalization

Industrial IoT allows devices to connect and transfer data. In the manufacturing sector, the IoT connects assets to processes, systems, and individuals. This enables higher integration of the operational process, higher productivity, and less error.

All this combined will take manufacturing to the next level of industrial transformation. The integration of all these aspects are essential for an automated, streamlined and smart manufacturing procedure.

Flexibility

With the rise of IIoT and other related technologies, the capacity for enterprises to install, configure and control manufacturing applications from a centralized location has become a reality. Before this only large industrial organizations with a larger budget could perform this. Now any manufacturer irrespective of size and budget can embrace this.

Operational Intelligence

Manufacturers are using the latest operational intelligence to recover data from various systems, assets, and people to get 360 degrees view into operations, including analyzing data to find root causes to make faster and better business decisions and achieve higher operational performance.

Predictive Analytics

With the help of predictive analytics, complexity in the manufacturing industry can be removed to automatically deliver business information to improve overall product quality and transform asset maintenance processes into predictive maintenance before the breakdown happens.

Scalability

Scalability is one of the greatest advantages of IIoT for manufacturers. Manufacturing companies have to use various software every time they require or whenever generation demand requires.

There are a lot of software available on the market which can work for a particular function. Manufacturers need to understand the value proposition. Strategic IIoT demands that manufacturers take a fresh look at scalable manufacturing and apply it to the production process to optimize the overall productivity by reducing price.

Cost Optimization

With the increasing number of low-cost, reliable and connected sensors, automated factories will become more and more effective. Manufacturing devices and assembly lines may soon use IoT to self-diagnose and repair themselves. 

Manufacturing requires many perishable tools for production, these perishable tools often require replacements. With IoT, these tools won’t just swap out the tooling itself, it also connects with its provider via network and order new ones.

The result of all these will be less down time, effective asset utilization, lower total cost of ownership, more efficient workforce, more actionable performance metrics, a much better final product and even greater gains in efficiency and output.

Field Service Management

Industrial IoT solutions can help companies determine which field service technician is apt for the job by considering factors like availability, skills, and location into consideration. 

Detailed reports of mistakes can be acquired from the technician in real time to make sure that he reaches the factory with appropriate instruments and parts.

Future IIoT Applications

The manufacturing industry is likely to affect the most by the industrial IoT. In fact, the manufacturing industry will get $3.9 trillion due to the implementation of IoT. Few future IIoT applications are;

Autonomous Vehicles

Autonomous vehicles are expected to be launched by the end of this year. These intelligent vehicles will help to decrease the issues from the increasing driver shortage and enhance the safety of transporters. 

At the same time, the IIoT will serve to increase compliance with regulatory measures simultaneously, just like an electronic logging device. This will decrease supply chain owes for manufacturers.

Asset Tracking

A manufacturing company’s worth depends on the current level and quality of its assets. IIoT-connected apparatus will allow manufacturers to automatically track its assets and help them build a collaborative relationship with the vendors and partners.

Operational Intelligence

With the support of IoT, you can now capture, combine, analyze and deliver insights from different assets, operators, and systems into a unified real-time visibility of KPIs for enhanced operational performance and robust decision making.

Manufacturing firms are always under pressure to reduce production and operational cost, to reach the customers more effectively, and to create durable products. While companies are giving much importance to technological advantages, the relevance of the Internet of Things is growing rapidly.

Manufacturing Benefits of Industrial IoT

Summary

As global market competition and industry dynamics force manufacturers to rethink their manufacturing operations, effective production process management is essential. Smart manufacturing requires IoT-driven analytics to promote asset utilization and greater efficiency. 

When you collect and combine data with analytics driven insights, it will allow manufacturers a degree of flexibility and decision making ability which they should deal with increasing market demand and sophistication.

The Industrial Internet of things has got tons of potential to make manufacturing much smarter and operate with optimal efficiency. IoT is changing the dimensions of many manufacturing businesses along with the way they operate.

Manufacturers are in high need of the greatest solutions for tracking, monitoring and storing their supplies. Hence these automated tools such as CNC, sensors & apparatus create heaps of data which can be analyzed and a typical use case of IoT.

So, if we analyze the overall role of IIoT in manufacturing, it assists in;

  • Smart layout design based on usage data.
  • Automated quality monitoring for raw material & final product.
  • Predictive analysis of machine failure & auto correction.
  • Intelligent device settings based on historical data.
  • Power management, resource management, stock management, fleet tracking, machine maintenance and predictive analysis.

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