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)
Not a great book. It doesn't help that I loathed the material. Who wants to be a bean counter?
I would read a chapter, then study the professor's material, then become confused. As a solution, I would watch a 5 minute YouTube video that explained any given concept clearly.
Thank you Joshua Emmanuel for your YouTube videos. Got an A in the class.
The book is really helpful. The chapters and solved examples are very well elaborated. Chapters 15 (goal programming) and chapter 17 (markov processes) were very helpful compared to other books in the field.
This book is especially important in these chapters:
- chapter 15 of this book has the best explanation and solved examples that teaches goal programming, no other book teaches goal programming like this book.
- chapter 17, Markov Chains, is the best explanation. I never understood markov chains before reading this book! Thanks to the author.
Overall, I feel I learned a lot from this text. I bought the international edition, which came with a software disc called "The Management Scientist." I later found out this software was not included with the U.S. edition, which proved to give me a leg up (I felt) as compared to the rest of the students in my class.