In recent years, the Internet of Things (IoT) has captured a lot of focus in the manufacturing industry, and its impact on digital manufacturing is only expected to grow in the coming years. With the rise of IoT-enabled devices such as smart sensors, industrial robots, and smart cameras, manufacturers can now access an unprecedented amount of data that can be employed to optimize production processes, improve supply chain management, and drive innovation in the industry.

From predictive maintenance to real-time monitoring, IoT-enabled technologies have the ability to boost efficiency, reduce costs, and improve the overall quality of products.

This blog will explore the innovative outlooks for digital manufacturing in 2023 and how IoT is expected to unlock new opportunities for manufacturers.

Why is IoT Gaining Attraction in Digital Manufacturing?

IoT is gaining attraction in digital manufacturing because it allows for real-time monitoring and control of manufacturing processes. This can result in increased efficiency and productivity, as well as improved quality control. IoT also allows for the collection of data on machine performance, which can be used to optimize processes and improve overall performance.

As per the BIS Research report, the global Industrial IoT market generated $72.34 billion in 2018 and is expected to witness a CAGR of 8.67% during the forecast period from 2019 to 2024.

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Additionally, IoT can be used to remotely control and troubleshoot equipment, reducing downtime and maintenance costs, providing valuable insights, and improving the overall performance of manufacturing operations.

In this continuity, let’s proceed further with some applications of IoT in digital manufacturing and learn how they will transform the process of digital manufacturing in 2023. 

Five Best Use Cases of IoT in Manufacturing

Predictive Repairing: IoT technology predicts and prevents equipment failures before they occur. This can be achieved by collecting data on machine performance and using it to identify patterns and trends that indicate a potential failure.

Remote Production Control: IoT technology remotely monitors and controls manufacturing processes by connecting machines, equipment, and sensors to a cloud-based platform, which allows for real-time monitoring and control of the production process. It can also reduce costs and improve the overall quality of the products being produced.

Asset Tracking:  IoT technology tracks and monitors the location and status of assets within a manufacturing facility by attaching IoT-enabled tags or sensors to assets and connecting them to a cloud-based platform for real-time monitoring and tracking.

Logistics Management: IoT technology optimizes and streamlines the movement of goods and materials within a manufacturing facility and during transportation. This can be achieved by using IoT-enabled sensors and devices, such as radio frequency identification (RFID) tags, global positioning system (GPS) trackers, and temperature sensors, to track and monitor the movement of goods and materials in real time.

Digital Twin:  IoT technology can create a virtual representation of a physical asset or process by collecting data from sensors and devices connected to the physical asset or process and using that data to create a digital twin that can be used for simulation, analysis, and optimization.

Moreover, the digital twin can be connected to the IoT sensor; this connection allows the digital twin to be updated in real time with the actual information of the machine. This can help companies predict and prevent failure and increase the performance of their machines. Moreover, the digital twin can be used for virtual training, testing, and experimentation.

Conclusion

IoT can help companies reduce costs and improve safety and compliance with regulations. It is an important tool that can help manufacturers to improve the efficiency, productivity, and performance of their operations. It also provides valuable insights into the performance and behavior of physical assets and processes, allowing manufacturers to optimize their operations.

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