Unlocking Efficient Workforce Scheduling with AI
Have you ever navigated the chaos of scheduling 1,000 diverse agents? At Assembled, we transform the daunting task of workforce scheduling into a streamlined process, reducing complexity from hours to minutes.
Our Approach:
- Advanced Algorithms: We utilize a two-step strategy combining Integer Linear Programming (ILP) and Constraint Programming (CP) to maximize efficiency.
- Decomposition Strategy: By breaking down problems into independent subproblems, we enhance processing speed while maintaining quality.
Key Innovations:
- Parallel Processing: Leveraging Argo Workflows on Kubernetes for dynamic resource allocation and high observability.
- Scalable Solutions: Successfully reduced scheduling time for 1,000 agents from two hours to just 10 minutes!
Key Takeaways:
- Decomposition significantly improves solve times without sacrificing accuracy.
- Thorough stress testing is crucial for robust long-term solutions.
Join us in redefining what’s possible in workforce scheduling! Share this post with your network and spark a conversation about the future of AI in operations! 🔗✨
