Optimization Modeling with Spreadsheets.
 Publication:
 New York : John Wiley & Sons, Incorporated, 2015.
 Format/Description:
 Book
1 online resource (391 pages)  Edition:
 3rd ed.
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 Other records:
 Subjects:
 Electronic spreadsheets.
Managerial economics  Mathematical models.
Mathematical optimization.
Programming (Mathematics).  Form/Genre:
 Electronic books.
 Summary:
 An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis. By emphasizing both spreadsheet modeling and optimization tools in the freely available Microsoft® Office Excel® Solver, the book illustrates how to find solutions to realworld optimization problems without needing additional specialized software. The Third Edition includes many practical applications of optimization models as well as a systematic framework that illuminates the common structures found in many successful models. With focused coverage on linear programming, nonlinear programming, integer programming, and heuristic programming, Optimization Modeling with Spreadsheets, Third Edition features: An emphasis on model building using Excel Solver as well as appendices with additional instructions on more advanced packages such as Analytic Solver Platform and OpenSolver Additional space devoted to formulation principles and model building as opposed to algorithms New endofchapter homework exercises specifically for novice model builders Presentation of the Sensitivity Toolkit for sensitivity analysis with Excel Solver Classification of problem types to help readers see the broader possibilities for application Specific chapters devoted to network models and data envelopment analysis A companion website with interactive spreadsheets and supplementary homework exercises for additional practice Optimization Modeling with Spreadsheets, Third Edition is an excellent textbook for upperundergraduate and graduatelevel courses that include deterministic models, optimization, spreadsheet modeling, quantitative methods, engineering management, engineering modeling, operations research, and management science. The book is an ideal
reference for readers wishing to advance their knowledge of Excel and modeling and is also a useful guide for MBA students and modeling practitioners in business and nonprofit sectors interested in spreadsheet optimization.  Contents:
 Intro
Title Page
Copyright Page
Contents
PREFACE
CHAPTER 1 INTRODUCTION TO SPREADSHEET MODELS FOR OPTIMIZATION
1.1 ELEMENTS OF A MODEL
1.2 SPREADSHEET MODELS
1.3 A HIERARCHY FOR ANALYSIS
1.4 OPTIMIZATION SOFTWARE
1.5 USING SOLVER
SUMMARY
EXERCISES
REFERENCES
CHAPTER 2 LINEAR PROGRAMMING: ALLOCATION, COVERING, AND BLENDING MODELS
2.1 LINEAR MODELS
2.1.1 Linear Constraints
2.1.2 Formulation
2.1.3 Layout
2.1.4 Results
2.2 ALLOCATION MODELS
2.2.1 The Product Mix Problem
2.3 COVERING MODELS
2.3.1 The StaffScheduling Problem
2.4 BLENDING MODELS
2.5 MODELING ERRORS IN LINEAR PROGRAMMING
2.5.1 Exceptions
2.5.2 Debugging
2.5.3 Logic
SUMMARY
EXERCISES
Case: JetGreen
CHAPTER 3 LINEAR PROGRAMMING: NETWORK MODELS
3.1 THE TRANSPORTATION MODEL
3.2 THE ASSIGNMENT MODEL
3.3 THE TRANSSHIPMENT MODEL
3.4 FEATURES OF SPECIAL NETWORK MODELS
3.5 BUILDING NETWORK MODELS WITH BALANCE EQUATIONS
3.6 GENERAL NETWORK MODELS WITH YIELDS
3.6.1 Models with Yield Losses
3.6.2 Models with Yield Gains
3.7 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
CHAPTER 4 SENSITIVITY ANALYSIS IN LINEAR PROGRAMS
4.1 PARAMETER ANALYSIS IN THE TRANSPORTATION EXAMPLE
4.2 PARAMETER ANALYSIS IN THE ALLOCATION EXAMPLE
4.3 THE SENSITIVITY REPORT AND THE TRANSPORTATION EXAMPLE
4.4 THE SENSITIVITY REPORT AND THE ALLOCATION EXAMPLE
4.5 DEGENERACY AND ALTERNATIVE OPTIMA
4.6 PATTERNS IN LINEAR PROGRAMMING SOLUTIONS
4.6.1 The Transportation Model
4.6.2 The Product Portfolio Model
4.6.3 The Investment Model
4.6.4 The Allocation Model
4.6.5 The Refinery Model.
SUMMARY
EXERCISES
Case: Cox Cable and Wire Company
Background
The Contract
The Analysis
CHAPTER 5 LINEAR PROGRAMMING: DATA ENVELOPMENT ANALYSIS
5.1 A GRAPHICAL PERSPECTIVE ON DEA
5.2 AN ALGEBRAIC PERSPECTIVE ON DEA
5.3 A SPREADSHEET MODEL FOR DEA
5.4 INDEXING
5.5 REFERENCE SETS AND HCUs
5.6 ASSUMPTIONS AND LIMITATIONS OF DEA
SUMMARY
EXERCISES
Case: Branch Performance at Nashville National Bank
Branch Growth at NNB
Assessing Branch Productivity
Branch Managers Revolt
Measuring Branches: Available Techniques
The DEA Study
CHAPTER 6 INTEGER PROGRAMMING: BINARYCHOICE MODELS
6.1 USING SOLVER WITH INTEGER REQUIREMENTS
6.2 THE CAPITAL BUDGETING PROBLEM
6.3 SET COVERING
6.4 SET PACKING
6.5 SET PARTITIONING
6.6 PLAYOFF SCHEDULING
6.7 THE ALGORITHM FOR SOLVING INTEGER PROGRAMS
SUMMARY
EXERCISES
Case: Motel Location for Nature's Inn
CHAPTER 7 INTEGER PROGRAMMING: LOGICAL CONSTRAINTS
7.1 SIMPLE LOGICAL CONSTRAINTS: EXCLUSIVITY
7.2 LINKING CONSTRAINTS: THE FIXED COST PROBLEM
7.3 LINKING CONSTRAINTS: THE THRESHOLD LEVEL PROBLEM
7.4 LINKING CONSTRAINTS: THE FACILITY LOCATION MODEL
7.4.1 Capacitated Version
7.4.2 Uncapacitated Version
7.5 DISJUNCTIVE CONSTRAINTS: THE MACHINESEQUENCING PROBLEM
7.6 TOUR CONSTRAINTS: THE TRAVELING SALESPERSON PROBLEM
SUMMARY
EXERCISES
Case: Hornby Products Company
History
Alternatives
CHAPTER 8 NONLINEAR PROGRAMMING
8.1 ONEVARIABLE MODELS
8.1.1 An Inventory Example
8.1.2 A Quantity Discount Example
8.2 LOCAL OPTIMA AND THE SEARCH FOR AN OPTIMUM
8.3 TWOVARIABLE MODELS
8.3.1 Curve Fitting
8.3.2 TwoDimensional Location
8.4 NONLINEAR MODELS WITH CONSTRAINTS
8.4.1 A Pricing Example
8.4.2 Sensitivity Analysis for Nonlinear Programs.
8.4.3 The Portfolio Optimization Model
8.5 LINEARIZATIONS
8.5.1 Linearizing the Maximum
8.5.2 Linearizing the Absolute Value
SUMMARY
EXERCISES
Case: Delhi Foods
CHAPTER 9 HEURISTIC SOLUTIONS WITH THE EVOLUTIONARY SOLVER
9.1 FEATURES OF THE EVOLUTIONARY SOLVER
9.2 AN ILLUSTRATIVE EXAMPLE: NONLINEAR REGRESSION
9.3 THE MACHINESEQUENCING PROBLEM REVISITED
9.4 THE TRAVELING SALESPERSON PROBLEM REVISITED
9.5 BUDGET ALLOCATION
9.6 TWODIMENSIONAL LOCATION
9.7 LINE BALANCING
9.8 GROUP ASSIGNMENT
SUMMARY
EXERCISES
Case: Colgate Wave (Abridged)
Introduction
The Study
Case Appendix: Market Share Simulation Model (Colgate.xls)
Data
Calculations
Simulation
APPENDIX 1 SUPPLEMENTAL FILES AND SOFTWARE
A1.1 SUPPLEMENTAL Microsoft® Office Excel® FILES
A1.2 ANALYTIC SOLVER PLATFORM FOR EDUCATION SOFTWARE
A1.3 OPENSOLVER SOFTWARE
APPENDIX 2 GRAPHICAL METHODS FOR LINEAR PROGRAMMING
A2.1 AN EXAMPLE
A2.2 GENERALITIES
APPENDIX 3 THE SIMPLEX METHOD
A3.1 AN EXAMPLE
A3.2 VARIATIONS OF THE ALGORITHM
REFERENCES
Index
EULA.  Notes:
 Description based on publisher supplied metadata and other sources.
 Other format:
 Print version: Baker, Kenneth R. Optimization Modeling with Spreadsheets
 ISBN:
 9781118937709
9781118937693  OCLC:
 905668049