Ready applications for Smart Factory
Production processes are kept stable, the most efficient production method and the use of raw materials are found by utilizing machine learning and artificial intelligence.
Use motion, temperature, and climate sensors to adjust lighting, cooling, and other environmental controls to make the most efficient use of energy. IoT sensor data can also monitor the condition of machinery, speeding up or slowing down operations to optimize usage, in real-time.
Ensure quality of manufactured products by leveraging machine learning combined with sensors and machine vision alongside of production line.
By using IoT sensors and AI based predictive analytics identify when components are about to fail, ensuring that they can be replaced just in right time. Virtual and Augmented Reality (VR/AR) based production simulation,
inspection and maintenance eliminates downtime and reduces maintenance expenses.
The process industry generates huge amounts of data. By linking data from similar production facilities, the amount of data on which machine learning is based can be multiplied and knowledge transfer accelerated. Single site
deviations, special situations and breakthroughs can be utilized to optimize other production sites – and reducing time and costs related to ramping-up new ones.
Avoid delays by having an accurate real-time visibility to all parts for each order. Stay in control - know potential issues in advance.
Automated & accurate material inventory within warehouse / factory yard based intelligent positioning. More accurate asset management and increased visibility into operations will enable manufacturing companies to identify
processes that need to be improved. Utilize AR powered warehouse operations to eliminate mistakes and speed up processes.
Calculate automatically volumes of crushed stone, timber, woodchips etc. for fast and accurate warehouse management.
Monitor routes and movements of forklifts and goods in warehouses and factory yards to optimize workflows. Use of VR in floor planning.