An introduction to management science: Quantitative approaches to decision making

by David R. Anderson

ASW's Introduction to Management Science: A Quantitative Approach to Decision Making provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it's 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 as well.

Genres: Management, Business, Reference

812 pages, Hardcover

First published January 1, 1976

About the author

Librarian Note: There is more than one author by this name in the Goodreads database.

Reviews

[Joselyn Parada · Rating 4 out of 5]

Boring but informative.

[Jeff Maughan · Rating 3 out of 5]

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.

Skip the book. Watch YouTube videos.

[Haytham Badawey · Rating 5 out of 5]

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.

[Nicole · Rating 4 out of 5]

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.

[Noel · Rating 5 out of 5]

Best Management Science book that I have used!