IoT for Manufacturing

ERP Implementation Services Consultancy

UMAX Second Opinion



Every industry experiences new trends and technology to streamline their productivity. All manufacturing type are no exception. The internet of things (IoT), leveraging your supply chain, cloud-based technologies, AI use cases and reviewing business intelligence (BI) are only a few of the latest trends on the rise.


IoT Keeps the Connection

IoT is defined as connecting various tools and machinery to the internet in order to receive data and insights in real-time. This can be useful for drilling, milling, turning and lathe machines within the shop because you can review their performance and determine whether or not it’s in need of maintenance. IoT can also be useful if you need to pinpoint the exact location of finished products. If you want to ensure your cameras arrive at a specific warehouse or store, you could install IoT in each camera or on the trucks the cameras are in to ensure you’re meeting your distribution schedule while also staying on top of suspicious activity.


Accelerate your path to Industry 4.0

Find or build IoT solutions to unite new or legacy machines and connect suppliers, customers, and a distributed workforce within a global ecosystem. Microsoft Dynamics 365 ERP and Azure Industrial IoT is built around the principle that new solutions and data must interoperate through industry standards and prevent vendor lock-in. Achieve results at scale through faster discovery of assets, best-in-class global support, and years of security expertise built from the chip to the cloud.


Dynamics 365 IoT Intelligence

IoT Intelligence is an add-in for Microsoft Dynamics 365 Supply Chain Management. It integrates Internet of Things (IoT) signals with data in Supply Chain Management to produce actionable insights.

IoT Intelligence supports the following scenarios :

  • Production delays – This scenario compares actual cycle time to planned cycle time. Supply Chain Management notifies you when production isn't on schedule, so that you can intervene to maximize operating efficiency and avoid order delays.
  • Equipment downtime – This scenario compares measured uptime to user-defined parameters. Supply Chain Management notifies you when an outage threshold is exceeded, so that you can take actions such as rescheduling a production work order or creating a maintenance work order.
  • Product quality – This scenario compares sensor readings, such as moisture and temperature, to user-defined quality metrics. Supply Chain Management notifies you when a deviation occurs, so that you can intervene to maintain quality standards and minimize waste.