📅 2024-10-27 — Session: Enhanced Task Scheduling with OR-Tools
🕒 14:30–17:20
🏷️ Labels: Task Scheduling, Or-Tools, Python, Constraints, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to refine and enhance a task scheduling model using Python and the OR-Tools library, focusing on implementing non-overlapping constraints and optimizing task scheduling algorithms.
Key Activities
- Developed a Python-based task scheduling model using OR-Tools, incorporating constraint programming techniques.
- Addressed and corrected various errors including non-overlapping constraints, TypeErrors, IndexErrors, and KeyErrors in the scheduling code.
- Implemented dynamic CSV-based logic for task scheduling, ensuring tasks do not overlap by processing constraints from a CSV file.
- Utilized a binary occupancy matrix and auxiliary variables to manage task scheduling and enforce occupancy constraints.
- Integrated
AddNoOverlapconstraint within the task scheduling model to prevent task overlap while maintaining occupancy constraints. - Optimized the calculation of day and slot variables, ensuring alignment with the occupancy dictionary without unnecessary complexity.
Achievements
- Successfully implemented a refined task scheduling model with enhanced non-overlapping constraints using OR-Tools.
- Resolved multiple coding errors and optimized the scheduling process, improving the reliability and efficiency of the task scheduling system.
Pending Tasks
- Further testing and validation of the scheduling model to ensure robustness across different scheduling scenarios.
- Integration of additional task management features, such as incorporating recurring tasks and more complex scheduling constraints.