An Introduction to management science : quantitative approaches to decision making /
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann
- Fourteenth Edition
- Boston, Massachusetts : Cengage Learning Asia Pte Ltd, c2019
- xxvii, 877 pages ; 26 cm.
Includes index.
Chapter 1 Introduction 1 -- Chapter 2 An introduction to linear programming -- Chapter 3 Linear programming : sensitivity analysis and interpretation of solution -- Chapter 4 Linear programming applications in marketing, finance and operations management -- Chapter 5 Advanced linear programming applications -- Chapter 6 Distribution and network models -- Chapter 7 Integer linear programming -- Chapter 8 Nonlinear optimization models -- Chapter 9 Project scheduling : PERT/CPM -- Chapter 10 Inventory models -- Chapter 11 Waiting line models -- Chapter 12 Simulation -- Chapter 13 Decision analysis -- Chapter 14 Multicriteria decisions -- Chapter 15 Time series analysis and forecasting -- Chapter 16 Markov processes On website -- Chapter 17 Linear programming : simplex method On website -- Chapter 18 Simplex-based sensitivity analysis and duality on website -- Chapter 19 Solution procedures for transportation and assignment problems On website -- Chapter 20 Minimal spanning tree On website -- Chapter 21 Dynamic programming On website.
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.