Optimal Job Assignment in a Discrete Event Simulation Environment

Implementation of different policies for optimal role resolution based on Zeng and Zhao (2005).

Included policies:

1. Least Loaded Qualified Person (LLQP)
2. Shared Queue (SQ)
3. K-Batch
4. K-Batch-1
5. 1-Batch-1

For solving the optimization problem present in the batching policies, the Gurobi Optimization suite was used.

For the reinforcement learning environment all algorithms are based on the new draft of Sutton and Barto (2017)'s book 2017 Version was used.

The corresponding thesis report can be found here while its presentation can be found here.

References

• Zeng, D. D., & Zhao, J. L. (2005). Effective role resolution in workflow management. INFORMS journal on computing, 17(3), 374-387.
• Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction (Vol. 1, No. 1). Cambridge: MIT press.