📅 2024-10-27 — Session: Enhanced Task Scheduling with OR-Tools
🕒 14:30–17:30
🏷️ Labels: Task Scheduling, Or-Tools, Python, Constraints, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance the task scheduling model using OR-Tools, focusing on non-overlapping constraints and optimizing the scheduling logic.
Key Activities
- Refined Task Scheduling Constraints: Implemented a refined approach to scheduling tasks using constraints to prevent overlaps and ensure realistic time distribution across days with OR-Tools.
- Corrected Non-Overlapping Constraints: Addressed errors in OR-Tools related to using conditional constraints on non-Boolean expressions.
- Dynamic CSV-Based Logic: Incorporated non-overlapping constraints into a dynamic task scheduling system using CSV inputs.
- Binary Occupancy Matrix: Managed task scheduling using a binary occupancy matrix to prevent overlapping tasks.
- Optimized Scheduling Model: Improved the scheduling model by addressing frequency distribution and preventing overlapping tasks.
- Handling Various Errors: Resolved multiple errors including KeyError, IndexError, and TypeError in the scheduling code.
- Integration of AddNoOverlap Constraint: Integrated the
AddNoOverlap
constraint within the task scheduling model to prevent task overlap.
Achievements
- Successfully implemented a more robust task scheduling model using OR-Tools.
- Ensured non-overlapping scheduling of tasks through various constraint programming techniques.
- Optimized the scheduling logic and resolved multiple coding errors.
Pending Tasks
- Further testing and validation of the scheduling model in real-world scenarios.
- Integration of additional task types and constraints as needed.