Table of contents for Practical management science / Wayne L. Winston, S. Christian Albright ; with case studies by Mark Broadie.


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1. Introduction To Modeling. Introduction. A Waiting-Line Example. Modeling Versus Models. The Seven-Step Modeling Process. Successful Management Science Applications. Why Study Management Science?. Software Included In This Book. Conclusion. 2. Introductory Spreadsheet Modeling. Introduction. Basic Spreadsheet Modeling Concepts. Modeling Examples. Conclusions. 3. Introduction To Optimization Modeling. Introduction. A Brief History Of Linear Programming. Introduction To Lp Modeling. Sensitivity Analysis And The Solvertable Add-In. The Linear Assumptions. Graphical Solution Method. Infeasibility And Unboundedness. A Multiperiod Production Problem. A Decision Support System. Conclusion.. Appendix: Information On Solvers. 4. Linear Programming Models. Introduction. Static Workforce Scheduling Models. Aggregate Planning Models. Dynamic Workforce Planning Models. Blending Models. Production Process Models. Dynamic Financial Models. Data Envelopment Analysis (Dea). Conclusion. 5. Network Models. Introduction. Transportation Models. More General Logistics Models. Non-Logistics Network Models. Project Scheduling Models. Conclusion. 6. Linear Optimization Models With Integer Variables. Introduction. Approaches To Optimization With Integer Variables. Capital Budgeting Models. Fixed-Cost Models. Lockbox Models. Plant And Warehouse Location Models. Set Covering Models. Models With Either-Or Constraints. Cutting Stock Models. Conclusion. 7. Nonlinear Optimization Models. Introduction. Basic Ideas Of Nonlinear Optimization. Pricing Models. Salesforce Allocation Models. Facility Location Models. Rating Sports Teams. Estimating The Beta Of A Stock. Portfolio Optimization. Conclusion. 8. Evolutionary Solver: An Alternative Optimization Procedure. Introduction. Introduction To Genetic Algorithms. Introduction To The Evolutionary Solver. Nonlinear Pricing Models. Combinatorial Models. Fitting An S-Shaped Curve. Portfolio Optimization. Cluster Analysis. Discriminant Analysis. Conclusion. 9. Multi-Objective Decision Making. Introduction. Goal Programming. Pareto Optimality And Trace-Off Curves. The Analytic Hierarchy Process. Conclusion. 10. Decision Making Under Uncertainty. Introduction. Elements Of A Decision Analysis. More Single-Stage Examples. Mulitstage Decision Problems. Bayes'' Rule. Incorporating Attitudes Toward Risk. Conclusion. 11. Introduction To Simulation Modeling. Introduction. Real Applications Of Simulation. Generating Uniformly Distributed Random Numbers. Simulation With Built-In Excel Tools. Generating Random Numbers From Other Probability Distributions. Introduction To @Risk. Correlation In @Risk. Conclusion. 12. Simulation Models. Introduction. Operations Models. Financial Models. Marketing Models. Simulating Games Of Chance. Using Toprank With @Risk For Powerful Modeling. Conclusion. 13. Inventory Models. Introduction. Categories Of Inventory Models. Types Of Costs In Inventory Models. Economic Order Quantity (Eoq) Models. Probabilistic Inventory Models. Ordering Simulation Models. Supply Chain Models. Conclusion. 14. Queueing Models. Introduction. Elements Of Queuing Models. The Exponential Distribution. Important Queuing Relationships. Analytical Models. Queuing Simulation Models. Conclusion. 15. Regression Analysis. Introduction. Scatterplots: Graphing Relationships. Correlations: Indicators Of Linear Relationships. Simple Linear Regression. Multiple Regression. The Statistical Model. Inferences About The Regression Coefficients. Multicollinearity. Modeling Possibilities. Prediction. Conclusion. 16. Time Series Analysis And Forecasting. Introduction. General Concepts. Random Series. The Random Walk Model. Autoregression Models. Regression-Based Trend Models. Moving Averages. Exponential Smoothing. Deseasonalizing: The Ratio-To-Moving-Averages Method. Estimating Seasonality With Regression. Conclusion. References. Index.


Library of Congress subject headings for this publication:
Management science -- Computer simulation.
Management science -- Mathematical models.
Electronic spreadsheets.