Operations research applies advanced analytical methods to help make better decisions. Born from military logistics in World War II, OR now drives supply chains, airline scheduling, financial portfolio optimization, and machine learning. Its core insight is that complex real-world problems can be modeled mathematically and solved — or at least bounded — with elegant algorithms.
These simulations let you explore linear programming feasible regions, minimize inventory holding and ordering costs, schedule jobs on machines, estimate probabilities with Monte Carlo sampling, and watch Markov chains converge to steady state — all with real-time interactive controls.