An introduction to management science : quantitative approaches to decision making / 10th ed.
光盘
作者： David R. Anderson, Dennis J. Sweeney, Thomas A. Williams.
出版社：
简介：Summary:
Publisher Summary 1
Upgrades to this edition include extended coverage of decision analysis and linear programming applications of revenue management systems and conjoint analysis. The 18 chapters include a glossary, new case problems and "management science in practice" vignettes, and self-tests; some chapters additionally offer material on using spreadsheets for forecasting. Appendices include statistical tables and an answer key to selected problems. Ancillary teaching and learning guides are available. Jumping the gun by most of a year, this volume carries a copyright date of 2003; dates are not given for previous iterations, except for a note indicating that the original edition appeared some 20 years ago. Anderson is at the U. of Cincinnati. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Publisher Summary 2
ASW's Introduction to Management Science: A Quantitative Approach to Decision Making, 10e provides thorough, application-oriented coverage in a very readable writing style. This is the best traditional text on the market. Simply put, this is a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application.The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included in this edition as well.
