Warehouse Inventory management is a crucial aspect of manufacturing operations, and IoT (Internet of Things) technology can greatly improve the efficiency and accuracy of this process. IoT devices such as sensors and RFID tags can be used to track inventory in real time, providing manufacturers with up-to-date information on the status and location of their inventory. This data can then be used to optimize production processes, reduce waste, and improve overall supply chain management.
An IoT-based Inventory Management System utilizes sensors to streamline inventory management within the manufacturing sector.
These sensors can be placed on production equipment and raw materials as well as produced inventory allowing manufacturers to track their inventory in real-time. This data can be used to predict when inventory levels will run low and trigger automatic reordering of supplies. Additionally, sensors can also detect when raw materials are not being used efficiently, helping manufacturers to optimize production processes and reduce waste.
IoT in inventory management also includes the application of RFID tags, which serve as another technological solution within the manufacturing sector. These tags can be attached to individual products or containers, allowing manufacturers to track the movement of inventory throughout the supply chain. This can help to reduce the risk of lost or stolen inventory and enable more accurate forecasting and planning. RFID tags can also be used to trigger automatic reordering when inventory levels fall below a certain threshold, further improving supply chain efficiency. Overall, IoT technology has the potential to revolutionize inventory management in the manufacturing domain, improving efficiency, reducing waste, and increasing profitability.
The entire access control system is rule based. Rules can be set in for personnel as well as vehicles for access to different areas.
There is a digital ID in every physical asset that maps with the ID provided in the Asset Management System in the cloud. Hence each asset is tagged along with the location and tracked in the system.
The system has the option of setting up usage alerts of varying frequency for each asset. If the asset is used, then a completion alert is sent otherwise an exception alert is sent.
All the assets are available for viewing in a single dashboard. Reports on usage patterns and maintenance issues are readily available for reference. Location-wise asset distribution is readily available.
The system provides AI based visual analytics. Hence videos can be captured and analyzed automatically and tagged for various events.