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Optimization Modeling with Spreadsheets

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ISBN-10: 0470928638

ISBN-13: 9780470928639

Edition: 2nd 2011

Authors: Kenneth R. Baker

List price: $86.50
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Description:

This introductory book on optimization (mathematical programming) includes coverage on linear programming, nonlinear programming, integer programming and heuristic programming; as well as an emphasis on model building using Excel and Solver. The emphasis on model building (rather than algorithms) is one of the features that makes this book distinctive. Most books devote more space to algorithmic details than to formulation principles. These days, however, it is not necessary to know a great deal about algorithms in order to apply optimization tools, especially when relying on the spreadsheet as a solution platform. The emphasis on spreadsheets is another feature that makes this book…    
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Book details

List price: $86.50
Edition: 2nd
Copyright year: 2011
Publisher: John Wiley & Sons, Limited
Publication date: 4/19/2011
Binding: Hardcover
Pages: 432
Size: 6.00" wide x 9.00" long x 1.00" tall
Weight: 1.826
Language: English

Preface
Introduction to Spreadsheet Models for Optimization
Elements of a Model
Spreadsheet Models
A Hierarchy for Analysis
Optimization Software
Using Solver
Summary
Exercises
References
Linear Programming: Allocation, Covering, and Blending Models
Linear Models
Linear Constraints
Formulation
Layout
Results
Allocation Models
The Product Mix Problem
Covering Models
The Staff-Scheduling Problem
Blending Models
Modeling Errors in Linear Programming
Exceptions
Debugging
Logic
Summary
Exercises
Case: JetGreen
Linear Programming: Network Models
The Transportation Model
The Assignment Model
The Transshipment Model
Features of Special Network Models
Building Network Models with Balance Equations
General Network Models with Yields
Models with Yield Losses
Models with Yield Gains
General Network Models with Transformed Flows
Summary
Exercises
Case: Casey's Famous Roast Beef
Case: Hollingsworth Paper Company
Production and Distribution Facilities
Patterns of Distribution
Expansion Proposals
Sensitivity Analysis in Linear Programs
Parameter Analysis in the Transportation Example
Parameter Analysis in the Allocation Example
The Sensitivity Report and the Transportation Example
The Sensitivity Report and the Allocation Example
Degeneracy and Alternative Optima
Patterns in Linear Programming Solutions
The Transportation Model
The Product Portfolio Model
The Investment Model
The Allocation Model
The Refinery Model
Summary
Exercises
Case: Cox Cable and Wire Company
Background
The Contract
The Analysis
Linear Programming: Data Envelopment Analysis
A Graphical Perspective on DEA
An Algebraic Perspective on DEA
A Spreadsheet Model for DEA
Indexing
Finding Reference Sets and HCUs
Assumptions and Limitations of DEA
Summary
Exercises
Case: Branch Performance at Nashville National Bank
Branch Growth at Nashville National Bank
Assessing Branch Productivity
Branch Managers Revolt
Measuring Branches: Available Techniques
The DEA Study
Integer Programming: Binary Choice Models
Using Solver with Integer Requirements
The Capital Budgeting Problem
Set Covering
Set Packing
Set Partitioning
Playoff Scheduling
Solving a Large-Scale Set Partitioning Problem
The Algorithm for Solving Integer Programs
Summary
Exercises
Case: Motel Location for Nature's Inn
Integer Programming: Logical Constraints
Simple Logical Constraints: Exclusivity and Contingency
Linking Constraints: The Fixed Cost Problem
Linking Constraints: The Threshold Level Problem
Linking Constraints: The Facility Location Model
Capacitated Version
Uncapacilated Version
Disjunctive Constraints: The Machine Sequencing Problem
Tour and Subset Constraints: The Traveling Salesperson Problem
Summary
Exercises
Case: Hornby Products Company
History
Alternatives
Nonlinear Programming
One-variable Models
An Inventory Example
A Quantity Discount Example
Local Optima and the Search for an Optimum
Two-Variable Models
Curve Fitting
Two-dimensional Location
Nonlinear Models with Constraints
A Pricing Example
Sensitivity Analysis for Nonlinear Programs
The Portfolio Optimization Model
Linearizations
Linearizing the Maximum
Linearizing the Absolute Value
Summary
Exercises
Case: Delhi Foods
Heuristic Solutions with the Evolutionary Solver
Features of the Evolutionary Solver
An Illustrative Example: Nonlinear Regression
The Machine-Sequencing Problem Revisited
The Traveling Salesperson Problem Revisited
Two-dimensional Location
Line Balancing
Group Assignment
Summary
Exercises
Case: Colgate Wave (Abridged)
Introduction
The Study
Case Appendix: Market Share Simulation Model (CoIgate.xls)
Data
Calculations
Simulation
Appendices
Optimization Software and Supplemental Files
Risk Solver Platform
Supplemental Excel Files
Graphical Methods in Linear Programming
An Example
Generalities
The Simplex Method
An Example
Variations of the Algorithm
References
Stochastic Programming
One-Stage Decisions with Uncertainty
Two-Stage Decisions with Uncertainty
Using Solver
Index