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Models Physical: Scale, Analog Symbolic: Drawings Computer Programs Mathematical: Analytical (Deduction) Experimental (Induction) Why use Models Optimize or Satisfice Prediction (Forecasting, Simulation) Control (SPC, Sequencing SPT, EDD,..) Insight, Understanding (the model building process itself) Justification, sales tool (Simulation) Model Building Real World Problem – Systems Analysis Model Prototype – Data Gathering Conceptual Model – Model Building Runable Model -- Validation,Verification Correct Model – Solution Method Model Solution -- Present Results Ready Solution – Implementation Problem Solution Math. Model Categories Prescriptive vs Descriptive Static vs Dynamic Continouos vs Discrete Stochastic vs Deterministic Linear vs Nonlinear Prescriptive Models Objective Function, Goal (Max, Min) Decision Variables (Cont., Integer) Constraints (Feasible Solution Space) Parameters, Coefficients (Data) Solution Method (Analytic, Numeric) Solution (Optimal Values of Variables) Sensitivity Analysis Prescriptive Model Types Optimization Mathematical Programming Network Models (some) Heuristics Decision Analysis Models Inventory Control Example of Optimization: EOQ Objective: minTC(Q) = S*D/Q + H*Q/2 Variable: Q Constraints: Qmin < Q < Qmax Data: D, P, S, H, Qmin, Qmax Solution Method: Differentiation Solution: EOQ = sqrt(2*D*S/H) Sensitivity: TC(Q)/TC(EOQ) Descriptive Model Types Simulation Queuing (Waiting Line) Theory Forecasting Some Network Models Game Theory Profitability Analysis Simulation “When all else fails”! Descriptive, “What-if” Continuous (Predator-Prey) Discrete: Time-Step vs Event-Driven Monte Carlo, Pseudo Random Numbers Profitability Model Model of an Investment and Operations during the Planning Horizon Descriptive, Dynamic Model Discrete Simulation Time Step (year by year) Usually Deterministic Mathematical Programming Linear Programming (LP) Integer Programming (IP, MIP) Nonlinear Programming (NLP) Dynamic Programming (DP) Stochastic Programming (SP) Transportation Model Assignment Model Network Models Minimal Spanning Shortest Path Maximal Flow CPM/PERT (Longest Path) Vehicle Routing Problem (VRP) Traveling Salesman Problem (TSP) Heuristics Evolutionary Search Methods: Genetic Algorithm (GA) Simulated Annealing (SA) Tabu Search (TS) Other Heuristics Decision Analysis Models Decision Trees Newsboy Problem Multi Criteria Decision Making Analytic Hierarchy Process (AHP) Goal Programming (GP)