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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 (mathematical) model
of a real-world scenario
• The model provides insight into the solution of
the managerial problem
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
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
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”
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
Steps in
Modeling
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
Tax Brackets
Taxable Income
up to $14,600
$14,601 to $59,400
$59,401 to $119,950

Percent of
Taxable Income
10%
15%
25%
Example Model: Break-Even Analysis
Profit = Revenue – Costs
Revenue = (Selling price) x (Num. units)
Costs = (Fixed cost) +
(Cost per unit) x (Num. units)
The Break Even Point (BEP) is the
number of units where;
Profit = 0, so
Revenue = Costs
BEP

=

Fixed cost
(Selling price) – (Cost per unit)
Possible Problems in
Developing Decision Models
 Defining the Problem
• Conflicting viewpoints
• Impact on other departments
• Beginning assumptions
• Solution outdated
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
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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Chapter 1

  • 1. Chapter 1: Introduction to Managerial Decision Modeling © 2007 Pearson Education
  • 2. 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
  • 3. 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
  • 4. 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
  • 5. 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”
  • 6. 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
  • 8. 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
  • 9. Tax Brackets Taxable Income up to $14,600 $14,601 to $59,400 $59,401 to $119,950 Percent of Taxable Income 10% 15% 25%
  • 10. Example Model: Break-Even Analysis Profit = Revenue – Costs Revenue = (Selling price) x (Num. units) Costs = (Fixed cost) + (Cost per unit) x (Num. units)
  • 11. The Break Even Point (BEP) is the number of units where; Profit = 0, so Revenue = Costs BEP = Fixed cost (Selling price) – (Cost per unit)
  • 12. Possible Problems in Developing Decision Models  Defining the Problem • Conflicting viewpoints • Impact on other departments • Beginning assumptions • Solution outdated
  • 13. 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
  • 14. 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