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Spreadsheet Modelling and Applications : Essentials of Practical Management Science / Chris Albright and Wayne L. Winston.

By: Contributor(s): Material type: TextTextPublication details: Belmont, Calif. : Duxbury ; London : Thomson Learning, 2005.Description: xvi, 672 p. : ill. ; 27 cm. + 2 CD-ROMs (4 3/4 in.)ISBN:
  • 0534380328 (pbk.)
Subject(s): DDC classification:
  • 650.0285/554 22
LOC classification:
  • T57.62 .A42 2005
Other classification:
  • 85.05
Online resources:
Contents:
Part I: INTRODUCTION TO SPREADSHEET MODELING. 1. Introduction to Modeling. Introduction. A Waiting Line Example. Modeling Versus Models. The Seven-Step Modeling Process. A Successful Management Science Application. Why Study Management Science? Software Included in This Book. Conclusion. 2. Introductory Spreadsheet Modeling. Introduction. Basic Spreadsheet Modeling: Concepts and Best Practices. Cost Projections. Breakeven Analysis. Ordering with Quantity Discounts and Demand Uncertainty. Decisions Involving the Time Value of Money. Conclusion. Appendix: Tips for Editing and Documenting Spreadsheets. Part II: DECISION MAKING UNDER CERTAINTY. 3. Introduction to Optimization Modeling. Introduction. Introduction to Optimization. A Two-Variable Model. Sensitivity Analysis. Properties of Linear Models. Infeasibility and Unboundedness. A Product Mix Model. A Multiperiod Production Model. A Comparison of Algebraic and Spreadsheet Models. A Decision Support System. Conclusion. Appendix: Information on Solvers. 4. Linear Programming Models. Introduction. Advertising Models. Static Workforce Scheduling Models. Aggregate Planning Models. Blending Models. Production Process Models. Financial Models. Conclusion. 5. Network Models. Introduction. Transportation Models. Assignment Models. Minimum Cost Network Flow Models. Shortest Path Models. Project Scheduling Models. Conclusion. 6. Linear Optimization Models with Integer Variables. Introduction. Overview of Optimization with Integer Variables. Capital Budgeting Models. Fixed-Cost Models. Set Covering Models and Location/Assignment Models. Conclusion. 7. Nonlinear Optimization Models. Introduction. Basic Ideas of Nonlinear Optimization. Pricing Models. Advertising Response and Selection Models. Facility Location Models. Models for Rating Sports Teams. Portfolio Optimization Models. Conclusion. Part III: DECISION MAKING UNDER UNCERTAINTY. 8. Decision Making Under Uncertainty. Introduction. Elements of a Decision Analysis.
Summary: Knowing spreadsheets can save your job? Absolutely. SPREADSHEET MODELING AND APPLICATIONS: ESSENTIALS OF PRACTICAL MANAGEMENT SCIENCE shows you how with just a little spreadsheet magic you can solve real life business problems. It's relevant, it's simple and it comes with DecisionTools(r) Suite. With DecisionTools(r) Suite you'll get the spreadsheet add-ins to make homework a snap.
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Books Library First Floor T57.62 .A42 2005 (Browse shelf(Opens below)) 1 Available 7734

Includes bibliographical references and index.

Part I: INTRODUCTION TO SPREADSHEET MODELING. 1. Introduction to Modeling. Introduction. A Waiting Line Example. Modeling Versus Models. The Seven-Step Modeling Process. A Successful Management Science Application. Why Study Management Science? Software Included in This Book. Conclusion. 2. Introductory Spreadsheet Modeling. Introduction. Basic Spreadsheet Modeling: Concepts and Best Practices. Cost Projections. Breakeven Analysis. Ordering with Quantity Discounts and Demand Uncertainty. Decisions Involving the Time Value of Money. Conclusion. Appendix: Tips for Editing and Documenting Spreadsheets. Part II: DECISION MAKING UNDER CERTAINTY. 3. Introduction to Optimization Modeling. Introduction. Introduction to Optimization. A Two-Variable Model. Sensitivity Analysis. Properties of Linear Models. Infeasibility and Unboundedness. A Product Mix Model. A Multiperiod Production Model. A Comparison of Algebraic and Spreadsheet Models. A Decision Support System. Conclusion. Appendix: Information on Solvers. 4. Linear Programming Models. Introduction. Advertising Models. Static Workforce Scheduling Models. Aggregate Planning Models. Blending Models. Production Process Models. Financial Models. Conclusion. 5. Network Models. Introduction. Transportation Models. Assignment Models. Minimum Cost Network Flow Models. Shortest Path Models. Project Scheduling Models. Conclusion. 6. Linear Optimization Models with Integer Variables. Introduction. Overview of Optimization with Integer Variables. Capital Budgeting Models. Fixed-Cost Models. Set Covering Models and Location/Assignment Models. Conclusion. 7. Nonlinear Optimization Models. Introduction. Basic Ideas of Nonlinear Optimization. Pricing Models. Advertising Response and Selection Models. Facility Location Models. Models for Rating Sports Teams. Portfolio Optimization Models. Conclusion. Part III: DECISION MAKING UNDER UNCERTAINTY. 8. Decision Making Under Uncertainty. Introduction. Elements of a Decision Analysis.

Knowing spreadsheets can save your job? Absolutely. SPREADSHEET MODELING AND APPLICATIONS: ESSENTIALS OF PRACTICAL MANAGEMENT SCIENCE shows you how with just a little spreadsheet magic you can solve real life business problems. It's relevant, it's simple and it comes with DecisionTools(r) Suite. With DecisionTools(r) Suite you'll get the spreadsheet add-ins to make homework a snap.

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