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Quantitative techniques chap01

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    Stevenson and OzgurFirst Edition

    Introduction to

    Management Sciencewith Spreadsheets

    Part 1 Introduction to Management Science and Forecasting

    McGraw-Hill/Irwin Copyright 2007 by The McGraw-Hill Companies, Inc. All rights reserved.

    Chapter 1

    Introduction to ManagementScience, Modeling, and

    Excel Spreadsheets

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    Learning Objectives

    1. Describe the importance of management science.

    2. Describe the advantages of a quantitative approach

    to problem solving.

    3. List some of the applications and use of

    management science models.

    4. Discuss the types of models most useful in

    management science.5. Demonstrate the basic building blocks and

    components of Excel.

    After completing this chapter, you should be able to:

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    Learning Objectives (contd)

    6. Describe the basic nature and usefulness of break-

    even analysis.

    7. List and briefly explain each of the components of

    break-even analysis.

    8. Solve typical break-even problems manually and

    with Excel.

    After completing this chapter, you should be able to:

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    The Importance of Management Science

    Management scienceThe discipline of applying advanced analytical

    methods to help make better decisions.

    Devoted to solving managerial-type problems using

    quantitative modelsApplications of management science

    Forecasting, capital budgeting, portfolio analysis,

    capacity planning, scheduling, marketing, inventory

    management, project management, and productionplanning.

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    Table 12 Successful Applications of Management Science

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    Table 12 Successful Applications of Management Science (contd)

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    Problem Solving Approaches

    Managers tend to use aqualitative approachto

    problem solving when

    1.The problem is fairly

    simple.

    2.The problem is

    familiar.

    3.The costs involved

    are not great.

    Managers tend to use aquantitative approach

    when

    1.The problem is

    complex.

    2.The problem is not

    familiar.

    3.The costs involved

    are substantial.

    4.Enough time is

    available to analyze

    the problem.

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    Advantages of the Quantitative Approach

    Directs attention to the essence of an analysis:to solve a specific problem.

    Improves planning which helps prevent future

    problems

    Results in more objective decisions than purely

    qualitative analysis.

    Incorporates advances in computational

    technologies to managerial problem-solving.

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    Models

    A ModelAn abstraction of reality. It is a simplified, and often

    idealized, representation of reality.

    Examples : an equation, an outline, a diagram, and a map

    By its very nature a model is incomplete.Provides an alternative to working with reality

    Symbolic models

    Use numbers and algebraic symbols

    Mathematical models

    Decision variables

    Uncontrollable variables

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    Deterministic versus Probabilistic Models

    Deterministic modelsUsed for problems in which information is known with

    a high degree of certainty.

    Used to determine an optimal solution to the problem.

    Probabilistic modelsUsed when it cannot be determined precisely what

    values (requiring probabilities) will occur (usually in

    the future).

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    Figure 11 The Management Science Approach

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    Figure 12 DSS Framework

    Source: E. Turban, Jay Aronson, and Ting-Peng Liang, Decision Support Systems and Intelligence Systems , 7th ed. (Upper Saddle River, NJ: Prentice Hall, 2005), p. 109.

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    Exhibit 1-1 Excel Spreadsheet

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    Exhibit 1-2 Functions Screen

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    Exhibit 13 Add-in Options

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    Breakeven Analysis

    Breakeven analysis (cost-volume analysis)Is concerned with the interrelationship of costs,

    volume (quantity of output or sales), and profit.

    The Break-Even Point (BEP)

    The volume for which total revenue and total cost areequal.

    The dividing line between profit and loss; sales higher

    than the break-even point will result in a profit, while

    sales that is lower than the break-even point will resultin a loss.

    Where you get out of the red.

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    Breakeven Analysis

    Breakeven analysis (cost-volume analysis)Is concerned with the interrelationship of costs,

    volume (quantity of output or sales), and profit.

    Components of Break-Even Analysis

    Volume:the level of output of a machine, department,or organization, or the quantity of sales.

    Revenue:the income generated by the sale of a

    product. Total revenue= revenue per unit (selling

    price per unit) multiplied by units (volume) sold.Costs:costs that must be taken into account

    Fixed costs are not related to the volume of output.

    Variable costs increase and decrease with output.

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    Assumptions of Break-Even Analysis

    The revenue per unit is the same for allvolumes.

    The variable cost per unit is the same for all

    volumes.

    Fixed cost is the same for all levels of volume.

    Only one product is involved.

    All output is sold.

    All relevant costs are accounted for, andcorrectly assigned to either the fixed cost

    category or the variable cost category.

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    Figure 13 Total Revenue Increases Linearly as Volume Increases

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    Figure 14 Fixed Costs

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    Figure 15 Total Variable Cost

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    Figure 16 Total Cost

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    Figure 17 Profit and the Break-Even Point

    Profit

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    Example 11

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    Exhibit 14 Break-Even Analysis

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    Exhibit 15 Goal Seek Input Screen

    Exhibit 16 Goal Seek Output Screen