Optimization Modeling with Spreadsheets, Second Edition

Optimization Modeling with Spreadsheets, Second Edition

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Book description

Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models

Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms.

This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features:

Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office Excel files to accompany the figures and data sets in the book.

With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.

Show and hide more Table of contents Product information

Table of contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Preface
    1. Why Model Building?
    2. Why Spreadsheets?
    3. What’s Special?
    4. The Audience
    5. Acknowledgements
    1. 1.1 Elements of A Model
    2. 1.2 Spreadsheet Models
    3. 1.3 A Hierarchy for Analysis
    4. 1.4 Optimization Software
    5. 1.5 Using Solver
    6. Summary
    7. Exercises
    8. References
    1. 2.1 Linear Models
    2. 2.2 Allocation Models
    3. 2.3 Covering Models
    4. 2.4 Blending Models
    5. 2.5 Modeling Errors in Linear Programming
    6. Summary
    7. Exercises
    1. 3.1 The Transportation Model
    2. 3.2 The Assignment Model
    3. 3.3 The Transshipment Model
    4. 3.4 Features of Special Network Models
    5. 3.5 Building Network Models with Balance Equations
    6. 3.6 General Network Models with Yields
    7. 3.7 General Network Models with Transformed Flows
    8. Summary
    9. Exercises
    1. 4.1 Parameter Analysis in The Transportation Example
    2. 4.2 Parameter Analysis in The Allocation Example
    3. 4.3 The Sensitivity Report And The Transportation Example
    4. 4.4 The Sensitivity Report and The Allocation Example
    5. 4.5 Degeneracy and Alternative Optima
    6. 4.6 Patterns in Linear Programming Solutions
    7. Summary
    8. Exercises
    1. 5.1 A Graphical Perspective on Dea
    2. 5.2 An Algebraic Perspective on Dea
    3. 5.3 A Spreadsheet Model for Dea
    4. 5.4 Indexing
    5. 5.5 Finding Reference Sets and Hcus
    6. 5.6 Assumptions and Limitations of Dea
    7. Summary
    8. Exercises
    1. 6.1 Using Solver with Integer Requirements
    2. 6.2 The Capital Budgeting Problem
    3. 6.3 Set Covering
    4. 6.4 Set Packing
    5. 6.5 Set Partitioning
    6. 6.6 Playoff Scheduling
    7. 6.7 Solving A Large-Scale Set Partitioning Problem
    8. 6.8 The Algorithm for Solving Integer Programs
    9. Summary
    10. Exercises
    1. 7.1 Simple Logical Constraints: Exclusivity and Contingency
    2. 7.2 Linking Constraints: The Fixed Cost Problem
    3. 7.3 Linking Constraints: The Threshold Level Problem
    4. 7.4 Linking Constraints: The Facility Location Model
    5. 7.5 Disjunctive Constraints: The Machine Sequencing Problem
    6. 7.6 Tour and Subset Constraints: The Traveling Salesperson Problem
    7. Summary
    8. Exercises
    1. 8.1 One-Variable Models
    2. 8.2 Local Optima and The Search for an Optimum
    3. 8.3 Two-Variable Models
    4. 8.4 Nonlinear Models with Constraints
    5. 8.5 Linearizations
    6. Summary
    7. Exercises
    1. 9.1 Features of The Evolutionary Solver
    2. 9.2 An Illustrative Example: Nonlinear Regression
    3. 9.3 The Machine-Sequencing Problem Revisited
    4. 9.4 The Traveling Salesperson Problem Revisited
    5. 9.5 Two-Dimensional Location
    6. 9.6 Line Balancing
    7. 9.7 Group Assignment
    8. Summary
    9. Exercises
    1. A1.1 Risk Solver Platform
    2. A1.2 Supplemental Excel Files
    1. A2.1 An Example
    2. A2.2 Generalities
    1. A3.1 An Example
    2. A3.2 Variations of The Algorithm
    3. References
    1. A4.1 One-Stage Decisions with Uncertainty
    2. A4.2 Two-Stage Decisions with Uncertainty
    3. A4.3 Using Solver
    Show and hide more

    Product information

    You might also like

    Check it out now on O’Reilly

    Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.