📅 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.