决策考试范围

1. Course Review Chap 01 Introduction to Managerial Decision Modeling Definition of decision model, two types of decision models, the steps involved in developing decision models in practical situations, the use of spreadsheets in developing decision models. Chap 02 Linear Programming Models: Graphical and Computer Methods Steps in developing a Linear Programming, properties of LP models, basic assumptions of LP models, LP characteristics (feasible region, corner point property, optimal solution), special situation in LP. Chap 03 Linear Programming: Modeling Applications Product mix; Make-buy; Media selection; Marketing research; Portfolio selection; Labor planning problem; Shipping & transportation; Multi-period scheduling. Basic steps: (1) Define the decision variables (2) Formulate the LP model using the decision variables: write the objective function equation and each of the constraint equations (3) Implement the model in Excel (4) Solve with Excel’s Solver. Chap 04 Linear Programming: Sensitivity Analysis Analyze changes in (1) an Objective Function Coefficient (OFC) and (2) A Right Hand Side (RHS) value of a constraint. Binding constraints and non-binding constraints. Slack & Surplus, Characteristics of RHS Changes for binding and nonbinding constraints, the change in objective function value, Range of shadow price validity, Reduced cost

of a decision variable, Alternate optimal solutions, the 100% rule, Pricing new variables. Chap 05 Transportation, assignment and network models Transportation Model (運輸模型), Transshipment Model (轉運模 型), Assignment Model (指派模型), Maximal Flow Model (最大流模型), Shortest Path Model (最短路徑模型), Minimal Spanning Tree Model (最 小 生 成 樹 模 型 ). Types of nodes, flow balance equations, Balanced/Unbalanced transportation model, Transportation models with Max-Min and Min-Max objectives, characteristics of decision variables and net flows for each model. Chap 06 Integer, Goal, and Nonlinear Programming Models Variations of basic linear...