Intelligent controllers for bi-objective dynamic scheduling on a single machine with sequence-dependent setups

- Development of Reinforcement Learning-based controller for multi-objective sequencing of jobs on a manufacturing facility.
- Development of evolutionary-tuned fuzzy controller for dynamic sequencing of jobs on a manufacturing facility.
- Comparison of the developed controllers to fifteen existing dispatching heuristics including recently proposed ones.
- The proposed controllers produced considerably more Pareto optimal solutions than the examined dispatching rules.
- Most of the solutions produced by the examined dispatching rules were dominated by the solutions of the proposed controllers.