In the Internet of things both faster development and the quality of products, are the most important factors for a higher Return on Investment (ROI). There are various applications of IoT in manufacturing industry. It can simplify the production flow in a manufacturing industry, this IoT devices automatically handles the development cycles, as well as manage warehouses.

Besides, manufacturing is not just the leader in the Industrial Internet but it tops in all industries. There are huge reasons where manufacturing industry is leading in the  field Internet of Things are : some are historical, others are related with the next industrial revolution.


Internet of things use cases in manufacturing :

Several Use cases of IoT in Manufacturing industry are listed below :

Manufacturing Operations : 
Manufacturing operations is the first comes in the largest manufacturing IoT use cases. Manufacturing operations consist of the several elements such as asset management, intelligent manufacturing, performance optimization and monitoring, planning, human machine interaction, end-to-end operational etc.

Production assest management and maintainence : 
This is the second largest IoT use case and it includes production asset monitoring and tracking, from location to the monitoring of parameters in several areas such as quality, performance, potential damage or breakdowns, bottlenecks and many more.

Field Service : 
Here is the third most important filed in IoT use cases where we leave the manufacturing facility and go directly to an important area where manufacturers are service providers. From product-related services to business-related services: the service organizations of manufacturers are important drivers of growth and, of margin. 

Application of IoT in Manufacturing Industry :

Below is the list to understand the applications of IoT in Manufacturing Industry :

Supply Chain Management: 
IoT devices track and trace the system on a global scale. Industries can track their supply chain by getting meaningful evaluation of the available resources. It includes information with respect to the undergoing work, equipment collection, and the delivery date of required materials. IoT devices also terminates the need of manual documentation for operations and introduce Enterprise resource program ERP. 

Self-dependent systems : 
The fusion of IoT and machine learning allows machines to deduct issues and fix them on their own. It creates self-healing automated systems that intelligently retrieving the control when the downtime occurs. The embedded sensors informs the production team about the underlying issues. The automated and independent systems reduce manual efforts and boost the development process.