1. Nenad Stefanovic and Danijela Milosevic
8th International Conference on Information Society and Technology 
Framework for connected supply chain based on Internet of Things and cloud services
Nenad Stefanovic and Danijela Milosevic

2. Supply Chain Networks

3. SCM 4.0 – Towards the smart supply chain
Industry 4.0 presents unprecedented opportunities to digitally enable the supply chain.
Industry 4.0 and IoT can transform traditional supply chain management.
The Industry 4.0 revolution will allow supply chains to enhance enterprise information systems by intelligently connecting people, processes, data, and things via IoT devices and sensors.
Better visibility, efficiency, agility, intelligence and automation.

4. Digital and connected supply chain

5. The main challenges High risk and process disruption Significant costs
Complex and uncertain projects
Lack of mature frameworks and methods
Multitude of technologies

6. The framework for SCM 4.0
Determine supply chain digitization objectives
Contextualize and visualize
manufacturing performance
Experiment with data sources
Make operational
changes based on data
Connect equipment
without disruption
Enable new scenarios
and scale

7. Suply chain digital manufacturing solution

8. End-to-end IoT solution
Connects to both simulated industrial devices running OPC UA servers in simulated factory production lines, and real OPC UA server devices.
Shows operational KPIs and OEE of those devices and production lines.
Demonstrates how a cloud-based application could be used to interact with OPC UA server systems.
Enables users to connect their own OPC UA server devices.
Enables users to browse and modify the OPC UA server data.
Integrates with the Stream Analytics service to provide customized views of the data from OPC UA servers.

9. Logical Architecture

10. Simulation
All simulation components run in Docker containers hosted in an cloud VM. The simulation is configured to run eight simulated production lines.
Supply chain consist of six factories; Each factory has eight production lines with three stations (assembly, testing and packaging).
The simulation runs and updates the data that is exposed through the OPC UA nodes. All simulated production line stations are orchestrated by the MES through OPC UA.
The MES monitors each station in the production line through OPC UA to detect station status changes. It calls OPC UA methods to control the stations and passes a product from one station to the next until it is complete.

11. Simulation
The solution uses the OPC UA Pub/Sub specification to send OPC UA telemetry data to IoT Hub in JSON format.
OPC Publisher Module connects to the station OPC UA servers and subscribes to the OPC nodes to be published. The module converts the node data into JSON format, encrypts it, and sends it to IoT Hub as OPC UA Pub/Sub messages.
The IoT hub receives data sent from the OPC Publisher Module into the cloud and makes it available to the cloud machine learning service.

12. Data analysis BI dashboard for data analysis and visualization
Monitor factory, production lines, station OEE, and KPI values
Analyze the telemetry data generated from IoT devices using machine learning (Time Series)
Act on alarms to fix issues

13. BI dashboard

14. Times series insights

15. Conclusion
Improved visibility across your manufacturing operations - make more informed decisions with a real-time picture of operational status.
Improved utilization - maximize asset performance and uptime with the visibility required for central monitoring and management.
Reduced waste - take faster action to reduce or prevent certain forms of waste, thanks to insight on key production metrics.
Targeted cost savings - benchmark resource usage and identify inefficiencies to support operational improvements.
Improved quality - detect and prevent quality problems by finding and addressing equipment issues sooner.

16.
@ProfStefanovic
rs.linkedin.com/in/stefanovic
“If you care to smoke a cigar in our rooms, Colonel, I shall be happy to give you any other details which might interest you.”