Practical Management Science - 6th Edition - by WINSTON - ISBN 9781337671989

Practical Management Science
6th Edition
WINSTON
Publisher: Cengage
ISBN: 9781337671989

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Name: Practical Management Science
Author: WINSTON
ISBN: 9781337671989

Chapter 2 - Introduction To Spreadsheet Modeling Chapter 2.4 - Breakeven Analysis Chapter 2.5 - Ordering With Quantity Discounts And Demand Uncertainty Chapter 2.6 - Estimating The Relationship Between Price And Demand Chapter 2.7 - Decisions Involving The Time Value Of Money Chapter 3 - Introduction To Optimization Modeling Chapter 3.6 - Infeasibility And Unboundedness Chapter 3.7 - A Larger Product Mix Model Chapter 3.8 - A Multiperiod Production Model Chapter 4 - Linear Programming Models

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

Book Details

Take full advantage of the power of spreadsheet modeling with the guidance in PRACTICAL MANAGEMENT SCIENCE, 6E, geared entirely to Excel 2016. This edition integrates modeling into all functional areas of business -- finance, marketing, operations managem