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008			081112s2005 caua |b 001 0 eng d
010			_a2004-102060
020			_a0534380328 (pbk.)
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050	0	0	_aT57.62 _b.A42 2005
082	0	0	_a650.0285/554 _222
084			_a85.05 _2bcl
100	1		_aAlbright, S. Christian. _9969
245	1	0	_aSpreadsheet Modelling and Applications : _bEssentials of Practical Management Science / _cChris Albright and Wayne L. Winston.
260			_aBelmont, Calif. : _bDuxbury ; _aLondon : _bThomson Learning, _c2005.
300			_axvi, 672 p. : _bill. ; _c27 cm. + _e2 CD-ROMs (4 3/4 in.)
504			_aIncludes bibliographical references and index.
505			_aPart 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.
520			_aKnowing 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.
650		0	_aManagement science _xComputer simpulation. _937874
650		0	_aManagement science _xMathematical models. _918298
650		0	_aElectronic spreadsheets. _91077
700	1		_aWinston, Wayne L. _9972
700	1		_aAlbright, S. Christian. _tPractical management science. _937875
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/toc/fy0612/2004102060.html
942			_2lcc _n0 _cBK
999			_c16840 _d16840