Optimization Modeling with Spreadsheets (ePub)
(Sprache: Englisch)
Reflects the latest applied research and featuresstate-of-the-art software for building and solving spreadsheetoptimization models
Thoroughly updated to reflect the latest topical and technicaladvances in the field, Optimization Modeling with...
Thoroughly updated to reflect the latest topical and technicaladvances in the field, Optimization Modeling with...
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Reflects the latest applied research and featuresstate-of-the-art software for building and solving spreadsheetoptimization models
Thoroughly updated to reflect the latest topical and technicaladvances in the field, Optimization Modeling with Spreadsheets,Second Edition continues to focus on solving real-worldoptimization problems through the creation of mathematical modelsand the use of spreadsheets to represent and analyze those models.Developed and extensively classroom-tested by the author, the bookfeatures a systematic approach that equips readers with the skillsto apply optimization tools effectively without the need to rely onspecialized algorithms.
This new edition uses the powerful software package Risk SolverPlatform (RSP) for optimization, including its Evolutionary Solver,which employs many recently developed ideas for heuristicprogramming. The author provides expanded coverage of integerprogramming and discusses linear and nonlinear programming using asystematic approach that emphasizes the use of spreadsheet-basedoptimization tools. The Second Edition also features:
* Classifications for the various problem types, providing thereader with a broad framework for building and recognizingoptimization models
* Network models that allow for a more general form of massbalance
* A systematic introduction to Data Envelopment Analysis (DEA)
* The identification of qualitative patterns in order tomeaningfully interpret linear programming solutions
* An introduction to stochastic programming and the use of RSP tosolve problems of this type
Additional examples, exercises, and cases have been includedthroughout, allowing readers to test their comprehension of thematerial. In addition, a related website features MicrosoftOffice® Excel files to accompany the figures and data sets inthe book.
With its accessible and comprehensive presentation,Optimization Modeling with Spreadsheets, Second Edition isan excellent book for courses on deterministic models,optimization, and spreadsheet modeling at the upper-undergraduateand graduate levels. The book can also serve as a reference forresearchers, practitioners, and consultants working in business,engineering, operations research, and management science.
Thoroughly updated to reflect the latest topical and technicaladvances in the field, Optimization Modeling with Spreadsheets,Second Edition continues to focus on solving real-worldoptimization problems through the creation of mathematical modelsand the use of spreadsheets to represent and analyze those models.Developed and extensively classroom-tested by the author, the bookfeatures a systematic approach that equips readers with the skillsto apply optimization tools effectively without the need to rely onspecialized algorithms.
This new edition uses the powerful software package Risk SolverPlatform (RSP) for optimization, including its Evolutionary Solver,which employs many recently developed ideas for heuristicprogramming. The author provides expanded coverage of integerprogramming and discusses linear and nonlinear programming using asystematic approach that emphasizes the use of spreadsheet-basedoptimization tools. The Second Edition also features:
* Classifications for the various problem types, providing thereader with a broad framework for building and recognizingoptimization models
* Network models that allow for a more general form of massbalance
* A systematic introduction to Data Envelopment Analysis (DEA)
* The identification of qualitative patterns in order tomeaningfully interpret linear programming solutions
* An introduction to stochastic programming and the use of RSP tosolve problems of this type
Additional examples, exercises, and cases have been includedthroughout, allowing readers to test their comprehension of thematerial. In addition, a related website features MicrosoftOffice® Excel files to accompany the figures and data sets inthe book.
With its accessible and comprehensive presentation,Optimization Modeling with Spreadsheets, Second Edition isan excellent book for courses on deterministic models,optimization, and spreadsheet modeling at the upper-undergraduateand graduate levels. The book can also serve as a reference forresearchers, practitioners, and consultants working in business,engineering, operations research, and management science.
Inhaltsverzeichnis zu „Optimization Modeling with Spreadsheets (ePub)“
Preface. Chapter 1. Introduction to Spreadsheet Models for Optimization. 1.1 Elements of Model. 1.2 Spreadsheet Models. 1.3 A Hierarchy for Analysis. 1.4 Optimization Software. 1.5 Using Solver. Chapter 2. Linear Programming: Allocation, Covering and Blending Models. 2.1 Linear Models. 2.2 Allocation Models. 2.3 Covering Models. 2.4 Blending Models. 2.5 Modeling Errors in Linear Programming. 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 Yields. 3.6 General Network Models with Yields. 3.7 General Network Models with Transformed Flows. 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. 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 Finding Reference Sets and HSUs. 5.6 Assumptions and Limitations of DEA. Chapter 6. Integer Programming: Binary Choice 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 Solving a Large-Scale Set Partitioning Problem. Chapter 7. Integer Programming: Logical Constraints. 7.1 Simple Logical Constraints: Contingency and 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. 7.5 Disjunctive Constraints: The Machine Sequencing Problem. 7.6 Tour and Subset Constraints: The Traveling Salesperson Problem. 7.7 The Algorithm for Solving Integer Programs.
... mehr
Chapter 8. Nonlinear Programming. 8.1 One-Variable Models. 8.2 Local Optima and the Search for an Optimum. 8.3 Two-Variable Models. 8.4 Nonlinear Models with Constraints. 8.5 Linearizations. 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 Machine-Sequencing Problem Revisited. 9.4 The Traveling Salesperson Problem Revisited. 9.5 Multi-Machine Scheduling. 9.6 Two-Dimensional Location. 9.7 Line Balancing. Appendices. 1. Optimization Software and Supplement Files. 2. Graphical Method for Linear Programming. 3. The Simplex Method. 4. Stochastic Programming. Index.
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Autoren-Porträt von Kenneth R. Baker
Kenneth R. Baker, PhD, is Nathaniel Leverone Professor of Management at the Tuck School of Business and Adjunct Professor of Engineering at Dartmouth College. A Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), Dr. Baker has published extensively in his area of research interest, which include mathematical modeling, spreadsheet engineering, and scheduling. He is coauthor of Principles of Sequencing and Scheduling and Management Science: The Art of Modeling with Spreadsheets, Third Edition, both published by Wiley.
Bibliographische Angaben
- Autor: Kenneth R. Baker
- 2012, 538 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118008979
- ISBN-13: 9781118008973
- Erscheinungsdatum: 10.01.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 17 MB
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