Jeffrey Camm, James Cochran, David Anderson

An Introduction to Management Science

Quantitative Approaches to Decision Making

• Broschiertes Buch

Produktbeschreibung

Gain a strong understanding of the role of management science in the decision-making process while mastering the latest advantages of Microsoft® Office Excel® 365 with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 16E. This market-leading edition uses a proven problem-scenario approach in a new full-color design as the authors introduce each quantitative technique within an application setting. You learn to apply the management science model to generate solutions and make recommendations for management. Updates clarify concept explanations while new vignettes and problems demonstrate concepts at work. All data sets, applications and screen visuals reflect the details of Excel® 365 to prepare you to work with the latest spreadsheet tools. In addition, WebAssign courseware demonstrates techniques with instant feedback, problem walk-throughs and step-by-step tutorials.

Produktdetails

• Verlag: Cengage Learning EMEA / South-Western College Pub
• 16. Aufl.
• Seitenzahl: 912
• Erscheinungstermin: 29. März 2022
• Englisch
• Abmessung: 276mm x 220mm x 34mm
• Gewicht: 1701g
• ISBN-13: 9780357715468
• ISBN-10: 0357715462
• Artikelnr.: 63605641

Autorenporträt

Jeffrey D. Camm is the Inmar Presidential Chair of Analytics and Senior Associate Dean for Faculty in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, Dr. Camm served on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 45 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, The INFORMS Journal on Applied Analytics and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the recipient of the 2006 INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as a consultant to numerous companies and government agencies. Dr. Camm served as editor-in-chief of INFORMS Journal on Applied Analytics and is an INFORMS fellow.

Inhaltsangabe

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.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: Answers to Even-Numbered Problems (online only).