Developing a Real-Time Data Visualization App for Fault Detection in Manufacturing
In this assignment, you will be tasked with developing a real-time data visualization app for fault detection in a manufacturing production line. The goal is to provide operators with a user-friendly frontend that displays the results of the statistical data analysis in near-real time. The app should enable operators to quickly identify and respond to potential locations causing higher than usual faulty products. Additionally, you will be responsible for building a prototype of the app and deploying it in a production environment.
The objective of this assignment is to design and develop a data visualization app that presents the results of the statistical data analysis in an intuitive and real-time manner. By the end of this project, you will be expected to have created a functional prototype that meets the specified requirements and successfully deployed it in a manufacturing production environment.
1. Familiarization with Statistical Data Analysis:
– Gain a comprehensive understanding of the existing statistical data analysis that identifies locations causing higher faulty products in the production line.
– Review the backend analysis process and its output.
2. Frontend App Selection:
– Research and evaluate various frontend technologies and frameworks suitable for real-time data visualization.
– Consider factors such as real-time processing capabilities, data visualization libraries, user interface design, and integration with the existing data analysis system.
3. App Design and Development:
– Define the user interface requirements based on the needs of the production line operators.
– Design the app layout, including visualizations, alerts, and interactive features.
– Develop the frontend app using the selected technology, ensuring compatibility with real-time data processing.
4. Prototype Testing and Refinement:
– Conduct thorough testing of the developed prototype using simulated or live data.
– Gather feedback from operators and stakeholders to identify areas for improvement.
– Refine the app’s functionality, user experience, and performance based on the feedback received.
5. Deployment in Production Environment:
– Prepare the app for deployment in the production environment.
– Coordinate with the relevant IT and production teams to ensure a smooth integration.
– Monitor the app’s performance, stability, and user acceptance after deployment.
– App Design Proposal:
Submit a detailed proposal outlining the chosen frontend technology, user interface design, and key features of the data visualization app.
– Functional Prototype:
Develop a fully functional prototype of the app, demonstrating real-time data processing and visualization capabilities.
– Deployment Documentation:
Provide documentation on the deployment process, including integration steps, system requirements, and troubleshooting guidelines.
– Final Report:
Prepare a comprehensive report summarizing the development process, challenges faced, lessons learned, and recommendations for future improvements.
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