🏭 Production Management Application – Industry 4.0

This project is a Production Management Application designed for an Industry 4.0 assembly platform, focusing on task scheduling and real-time client-server communication.

🚀 Features

• Metaheuristic Optimization:
  Implementation of the Simulated Annealing algorithm to optimize task scheduling on a single collaborative robot (KUKA LBR IIwa), minimizing total delays.

• Real-Time Scheduling Engine:
  A dynamic scheduling backend capable of managing and updating tasks in real time based on system status.

• Interactive Web Interface:
  User-friendly front-end for monitoring and controlling production, visualizing scheduled tasks, and updating the system dynamically.

• Client-Server Communication:
  Real-time updates through WebSocket integration between the scheduling engine and the web front-end.

⚙️ Technologies Used

• Backend: Python (Simulated Annealing, Scheduling Logic)
• Web Framework: Django
• Frontend: HTML, CSS, JavaScript
• Communication: WebSocket (for real-time updates)
• Target Hardware: KUKA LBR IIwa (collaborative robot)

🎯 Objective

This project was developed to simulate and manage a smart production line using an intelligent scheduling system. The goal is to demonstrate how AI-based scheduling and real-time systems can enhance efficiency in modern manufacturing environments.

📌 Future Enhancements

• Multi-machine task scheduling
• Integration with IoT sensors for dynamic task adjustment
• User authentication and access control
• Visualization dashboard with Gantt charts

This project was developed as part of a final internship at the Centre de Développement des Technologies Avancées (CDTA).