Anderson, David R. 1941-
An introduction to management science : quantitative approaches to decision making / David R. Anderson, University of Cincinnati, Thomas A. Williams, Rochester Institute of Technology, Michael J. Fry, University of Cincinnati, Dennis J. Sweeney, University of Cincinnati, Jeffrey D. Camm, University of Cincinnati, Jeffrey W. Ohlmann, University of Iowa, James J. Cochran, University of Alabama. - 14e - xxvii, 877 pages : illustrations ; 26 cm.
Includes bibliographical references and index.
1. Introduction. 2. An Introduction to Linear Programming. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution. 4. Linear Programming Applications in Marketing, Finance, and Operations Management. 5. Advanced Linear Programming Applications. 6. Distribution and Network Models. 7. Integer Linear Programming. 8. Nonlinear Optimization Models. 9. Project Scheduling: PERT/CPM. 10. Inventory Models. 11. Waiting Line Models. 12. Simulation. 13. Decision Analysis. 14. Multicriteria Decisions. 15. Time Series Analysis and Forecasting. 16. Markov Processes. 17. Linear Programming: Simplex Method (on Website). 18. Simplex-Based Sensitivity Analysis and Duality (on Website). 19. Solutions Procedures for Transportation and Assignment Problems (on Website). 20. Minimal Spanning Tree (on Website). 21. Dynamic Programming (on Website). Appendix A: Building Spreadsheet Models. Appendix B: Areas for the Standard Normal Distribution. Appendix C: Values of e-?. Appendix D: References and Bibliography. Appendix E: Self-Test Solutions and Answers to Even-Numbered Problems.
Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. In addition, readers can get a copy of LINGO software and Excel add-ins with the book's online content.
9781111823610 1111823618
2014947009
Management science.
Management science--Mathematical models.
Management science--Problems, exercises, etc.
Management science.
Management science--Mathematical models.
Problems and exercises.
HD30.25 / .A53 2016
658.4033
An introduction to management science : quantitative approaches to decision making / David R. Anderson, University of Cincinnati, Thomas A. Williams, Rochester Institute of Technology, Michael J. Fry, University of Cincinnati, Dennis J. Sweeney, University of Cincinnati, Jeffrey D. Camm, University of Cincinnati, Jeffrey W. Ohlmann, University of Iowa, James J. Cochran, University of Alabama. - 14e - xxvii, 877 pages : illustrations ; 26 cm.
Includes bibliographical references and index.
1. Introduction. 2. An Introduction to Linear Programming. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution. 4. Linear Programming Applications in Marketing, Finance, and Operations Management. 5. Advanced Linear Programming Applications. 6. Distribution and Network Models. 7. Integer Linear Programming. 8. Nonlinear Optimization Models. 9. Project Scheduling: PERT/CPM. 10. Inventory Models. 11. Waiting Line Models. 12. Simulation. 13. Decision Analysis. 14. Multicriteria Decisions. 15. Time Series Analysis and Forecasting. 16. Markov Processes. 17. Linear Programming: Simplex Method (on Website). 18. Simplex-Based Sensitivity Analysis and Duality (on Website). 19. Solutions Procedures for Transportation and Assignment Problems (on Website). 20. Minimal Spanning Tree (on Website). 21. Dynamic Programming (on Website). Appendix A: Building Spreadsheet Models. Appendix B: Areas for the Standard Normal Distribution. Appendix C: Values of e-?. Appendix D: References and Bibliography. Appendix E: Self-Test Solutions and Answers to Even-Numbered Problems.
Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. In addition, readers can get a copy of LINGO software and Excel add-ins with the book's online content.
9781111823610 1111823618
2014947009
Management science.
Management science--Mathematical models.
Management science--Problems, exercises, etc.
Management science.
Management science--Mathematical models.
Problems and exercises.
HD30.25 / .A53 2016
658.4033