Practical Management Science - 6th Edition - by WINSTON,  Wayne L. - ISBN 9781337406659
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Practical Management Science
6th Edition
WINSTON, Wayne L.
Publisher: Cengage,
ISBN: 9781337406659

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Chapter 4.2 - Advertising ModelsChapter 4.3 - Employee Scheduling ModelsChapter 4.4 - Aggregate Planning ModelsChapter 4.5 - Blending ModelsChapter 4.6 - Production Process ModelsChapter 4.7 - Financial ModelsChapter 4.8 - Data Envelopment Analysis (dea)Chapter 5 - Network ModelsChapter 5.2 - Transportation ModelsChapter 5.3 - Assignment ModelsChapter 5.4 - Other Logistics ModelsChapter 5.5 - Shortest Path ModelsChapter 6 - Optimization Models With Integer VariablesChapter 6.3 - Capital Budgeting ModelsChapter 6.4 - Fixed-cost ModelsChapter 6.5 - Set-covering And Location-assignment ModelsChapter 6.6 - Cutting Stock ModelsChapter 7 - Nonlinear Optimization ModelsChapter 7.3 - Pricing ModelsChapter 7.4 - Advertising Response And Selection ModelsChapter 7.5 - Facility Location ModelsChapter 7.6 - Models For Rating Sports TeamsChapter 7.7 - Portfolio Optimization ModelsChapter 7.8 - Estimating The Beta Of A StockChapter 8 - Evolutionary Solver: An Alternative Optimization ProcedureChapter 8.3 - Introduction To Evolutionary SolverChapter 8.4 - Nonlinear Pricing ModelsChapter 8.5 - Combinatorial ModelsChapter 8.6 - Fitting An S-shaped CurveChapter 8.7 - Portfolio OptimizationChapter 8.8 - Optimal Permutation ModelsChapter 9 - Decision Making Under UncertaintyChapter 9.2 - Elements Of Decision AnalysisChapter 9.3 - Single-stage Decision ProblemsChapter 9.4 - The Precision Tree Add-inChapter 9.5 - Multistage Decision ProblemsChapter 9.6 - The Role Of Risk AversionChapter 10 - Introduction To Simulation ModelingChapter 10.2 - Probability Distributions For Input VariablesChapter 10.4 - Simulation With Built-in Excel ToolsChapter 10.5 - Introduction To @riskChapter 10.6 - The Effects Of Input Distributions On ResultsChapter 11 - Simulation ModelsChapter 11.2 - Operations ModelsChapter 11.3 - Financial ModelsChapter 11.4 - Marketing ModelsChapter 11.5 - Simulating Games Of ChanceChapter 12 - Queueing ModelsChapter 12.3 - The Exponential DistributionChapter 12.4 - Important Queueing RelationshipsChapter 12.5 - Analytic Steady-state Queueing ModelsChapter 13 - Regression And Forecasting ModelsChapter 13.3 - Simple Regression ModelsChapter 13.4 - Multiple Regression ModelsChapter 13.6 - Moving Averages ModelsChapter 13.7 - Exponential Smoothing ModelsChapter 14.2 - Classification MethodsChapter 14.3 - Clustering Methods

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