OSE combines engineering theory, practical problems, simulation models and interactive software to help students, researchers, engineers and professionals understand complex systems and apply quantitative methods in practice.
OSE learning resources are designed around practical engineering workflows rather than isolated formulas. Each topic connects concepts with models, data, software and interpretation.
Probability distributions · Poisson processes · Queueing theory · M/M/1 and M/M/c · Monte Carlo simulation · Discrete-event simulation
Distribution Fitter · Poisson & Exponential Simulator · M/M/1 Queue Simulator · M/M/c Queue Simulator
Explore Path ↗Time-series forecasting · ARIMA · Regression forecasting · AI forecasting · Forecast accuracy · Safety stock · Inventory simulation · Inventory optimization
ARIMA Forecast · Regression Forecast · AI Forecast · Inventory Monte Carlo · Inventory Optimizer
Explore Path ↗Logistics hub planning · Distribution center planning · Container flow · MILP · Network optimization · MCDM
Container Flow Simulator · Container Flow MILP Optimizer · Distribution Center Planner · Logistics Hub Planner · MCDM Decision Tool
Explore Path ↗Vessel arrivals · Berth occupancy · Vessel waiting time · Port capacity · Navigation channel capacity · VTS simulation · Under-keel clearance · Maritime risk
Port Simulation Suite · Channel Capacity & VTS · UKC Controller
Explore Path ↗Step-by-step OSE software tutorials.
Sample data for simulation, forecasting and optimization exercises.
Practical examples connecting theory with real-world problems.
Exercises for students, researchers and professional training.
Practical tutorials, engineering case studies, research-based explanations and software demonstrations for students, engineers, researchers and professionals.
Move from engineering concepts to working models and practical decision-support tools.