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MGS 3100 - Business Analysis Chapter 1 Introduction to Modeling Copyright 2001 Prentice Hall Model Definition CLASSIFICATIONS OF MODELS Decision making models are classified by the business function they address or by the discipline or industry involved. Classification Examples Business Function Finance, Marketing, Cost Accounting, Operations Discipline Science, Engineering, Economics Industry Military, Transportation, Telecommunications, Non-Profit Time Frame One Time Period, Multiple Time Periods Organizational Level Strategic, Tactical, Operational Mathematics Linear Equations, Non-Linear Equations Representation Spreadsheet, Custom Software, Paper and Pencil Uncertainty Deterministic, Probabilistic TYPES OF MODELS Type The model is What is being modeled Examples Physical Tangible Tangible Model airplane, building, etc. Analog Tangible Abstract Speedometer Thermometer Painting Symbolic Abstract Either tangible or Abstract Language Mathematics Models in Decision Making Real World Management Situation Results Interpretation Symbolic World Abstraction Model Analysis Intuition Decisions The Modeling Process Objective Hierarchies Variables and Attributes • Describe Problem / opportunity • Identify Overall Objective • Organize Sub-Objectives into a hierarchy • Identify Model’s Objective • Determine all variables and their attributes • Decide on Measurement / Data Collection Influence Diagrams Mathematical Representation Testing and Validation Implementation and use • Graphically depict relationships among variables • Distinguish between Decision and outcome variables • Determine mathematical relationships among variables • Develop mathematical model(s) • Evaluate reliability and validity • Understand limitations • Implement models in DSSs • Clarify assumptions, inputs, and outputs Decision Making Simon’s Model of Decision Making Intelligence Design Choice Course Outline Introduction to Decision Support Models – Forecasting – Basic Profit models, Simulation Estimation of values that go into the profit models Decision Analysis, Process Control – – Choosing the right alternative after modeling Monitoring a process after implementing decision