Project IE01: Job-Shop Scheduling Using Genetic Algorithm and Reinforcement Learning
Project IE02: Tennessee Eastman Process Fault Detection Using SPC and ML
Project IE03: Production-Line Digital Twin with Simulation and Bayesian Optimisation
Project IE04: Turbofan Predictive-Maintenance Digital Twin Using RUL Prediction
Project IE05: Vehicle Routing Using Hybrid Genetic Search and Deep RL
Project IE06: Worker Activity Recognition Using Wearable IMUs and Deep Learning
Project IE07: Warehouse Order-Picking Digital Twin: Storage, Batching and Routing
Project IE08: Steel Plant Energy Digital Twin for Energy-Aware Scheduling
Project IE09: Supply-Chain Late-Delivery Risk Prediction and Resilience Analysis
Project IE10: LLM Agent for Production Planning with Optimisation Modelling