Specialized Plastics Supplier
Driving Cost Savings in the Quality Control of Plastic Extrusion Processes with IIoT , Machine Learning and Microsoft Azure
Background
- IT consulting partner for Softing in Microsoft Azure projects
- End customer produces and distributes specialized plastics
- 5 production sites worldwide. Each site operates 2-6 plastic extruders
- Extrusion samples are analyzed every two hours for quality control purposes, representing a significant production cost
Business need
- Introduce data analytics in the process to reduce the number of required extrusion sample and production costs
- Implementation requires to collect and visualize data and apply machine learning strategies to generate insights and ensure quality of the produced plastic
Technical Requirements
- Option for cloud based strategy, to minimize upfront investment, start small and scale fast
- Heterogenous pool of shop floor controllers including Siemens PLCs, OPC Servers and Modbus TCP compatible machines
- dataFEED OPC Suite to collect data from multiple Siemens PLCs, OPC servers and Modbus TCP
- Seamless integration with IoT Azure Hub (cloud) over MQTT
- Data analytics, visualization and machine learning on the Azure cloud
- Robust, secure and versatile OPC Suite
- Wide variety of PLCs and protocols supported
- Seamless and easy to deploy integration with IoT Azure Hub
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Softing Industrial
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