IIoT is disrupting manufacturing industry, for good
Srivatsan Aravamudan Nemili / Jan 8, 2020
|Custom Dashboard with data collected from IoT|
2020 is a year of smart things. We have a critical mass of smart devices from home to industrial use. Wireless sensors are mapping the physical world to the virtual network of interconnected devices that send and receive information for actionable outcomes. I have been to the OPG showcase in Toronto and I witnessed firsthand some of the amazing sensors that are used in the Industrial Internet of Things (IIoT).
The IIoT can transform traditional, linear manufacturing supply chains into dynamic, interconnected systems also known as the digital supply network (DSN). By enabling DSN IIoT can have impact on the way the products are manufactured, such as efficiency, safety and cost reduction.
According to a recent estimation by McKinsey, the potential economic impact of IoT applications in 2025 is between US$ 3.9 and $11.1 trillion, of which $1.2 to $3.7 trillion is allotted to IoT applications within the factory environment. Also known as smart manufacturing, these are fully networked manufacturing ecosystems driven by the IoT.
Here are some ways IIoT is disrupting manufacturing industry
If you are new to predictive maintenance here is a great article on it by Rootquotient. The idea of predictive maintenance systems is to build accurate probability predictions on the data, rather than simply reporting it. The predictive system could prevent downtime and reduce the cost of buying a backup component without a need for it. The predictive system could predict when a component was going to fail and place an order for the replacement part so that it arrives in time for the maintenance crew to replace the component during a scheduled maintenance, virtually eliminating downtime.
Using IIoT technologies the management has gone from local to global. Using IIoT we can connect the devices on a large scale without the need for human intervention. A decentralized IoT network often has an organizational structure, meaning that nodes are clustered in smaller networks with so-called super-nodes which are the central processing point for sub-networks and facilitate the communication between constrained devices.
Improved internal collaboration
Often departments in manufacturing companies operate in silos, stifling collaboration and data access. However, using IIoT Technology organizations are maximizing the collaboration and efficiency of their control center. Data from each silo can be analyzed to create processes improving efficiency not just within the departments but also organization overall.
Manufacturing organizations often have goals going into a financial year, to reduce downtime, increase efficiency, etc. Having a custom build dashboard that collects, consolidates and makes sense of the data collected from IoT would be an ideal. PsiberTech works with manufacturing giants like 3M to optimize processes and improve efficiency. Contact us to know how you can benefit from IIoT from PsiberTech Solutions.
Srivatsan Aravamudan - Sri
Senior Solution Consultant