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Managerial decision modeling with spreadsheets by stair render chapter 01

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Chapter 1:Introduction to Managerial Decision Modeling © 2007 Pearson Education... What is Decision Modeling?A scientific approach to managerial decision making • The development of a

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Chapter 1:

Introduction to Managerial

Decision Modeling

© 2007 Pearson Education

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What is Decision Modeling?

A scientific approach to managerial decision making

• The development of a (mathematical) model of a real-world scenario

• The model provides insight into the solution of the managerial problem

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Types of Decision Models

Deterministic Models

Where all the input data value are known with complete certainty

Probabilistic Models

Where some input data values are uncertain

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Quantitative vs Qualitative Data

The modeling process begins with data

Quantitative Data

Numerical factors such as costs and

revenues

Qualitative Data

Factors that effect the environment which are difficult to quantify

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Spreadsheets in Decision Making

Computers are used to create and solve models

Spreadsheets are a convenient alternative to specialized software

Microsoft Excel has extensive modeling capability via the use “add-ins”

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Steps in Decision Modeling

1 Formulation

Translating a problem scenario from words to a mathematical model

2 Solution

Solving the model to obtain the optimal solution

3 Interpretation and Sensitivity Analysis

Analyzing results and implementing a solution

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Steps in

Modeling

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Example Model: Tax Computation

Self employed couple must estimate and

pay quarterly income tax (joint return)

Income amount is uncertain

5% of income to retirement account, up to $4000 max

Personal exemption = 2 x $3200 = $6400

Standard deduction = $10,000

No other deductions

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Tax Brackets

Percent of

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Example Model: Break-Even Analysis

Profit = Revenue – Costs

Revenue = (Selling price) x (Num units)

Costs = (Fixed cost) +

(Cost per unit) x (Num units)

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The Break Even Point (BEP) is the number of units where;

Profit = 0, so

Revenue = Costs

BEP = Fixed cost

(Selling price) – (Cost per unit)

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Possible Problems in Developing Decision Models

Defining the Problem

• Conflicting viewpoints

• Impact on other departments

• Beginning assumptions

• Solution outdated

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Possible Problems in Developing Decision Models

Developing a Model

• Fitting the textbook models

• Understanding the model

Acquiring Input Data

• Using accounting data

• Validity of data

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Possible Problems in Developing Decision Models

Developing a Solution

• Hard to understand mathematics

• Limitations of only one answer

Testing the Solution

Analyzing the Results

Implementation

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