Autoregressive, moving average, and seasonal models. Simplex method, duality theory, sensitivity analysis, principle of optimality, deterministic and stochastic dynamic programming models. Unconstrained optimization, Kuhn-Tucker theorem, Lagrangian multipliers, Markov chains, and Poisson processes. Aggregate products planning, project planning, job scheduling, and inventory control. Extensive use of case materials.
Students work in teams under faculty supervision.
Graduate students only. Topics include facility-capacity planning, inventory systems, and scheduling. Use of decision trees, probabilities methods for making decisions under uncertainty. Analysis of negotiation problems. Distributive and integrative bargaining.