Introduction to Management Science Quantitative Approaches to Decision Making

by David R. Anderson

Key Features Trusted team of expert authors who are respected leaders and active consultants in the fields of business and statistics, provide unerring accuracy throughout the text presentation, problems, and test bank. Proven problem-scenario approach-a hallmark feature of this text-introduces each quantitative technique within an application setting. Students must apply the technique to a problem to generate a business solution or recommendation. Powerful actual examples offers even more real data that emphasizes application as well as solid management science and quantitative methodology. Integrated coverage of software applications most useful in today's business world equips students to use not only the new LINGO 10, but also Excel with quantitative add-ins. Coverage of Management Scientist, LINGO, and Excel with add-ins Crystal Ball, Tree Plan, and Premium Solver for Education appear in appendices and on the Student CD for maximum teaching flexibility. Dynamic, updated Student CD that accompanies the text now includes five chapters focusing on solution algorithms that were previously in the text; Excel worksheets and templates that correspond with text examples and models; the new Excel add-ins Crystal Ball Professional v7.2.1 (time-limited), Premium Solver for Education v6, and Tree Plan v1.64 Excel add-in for Decision Analysis; the new Lingo 10 trial edition software, and The Management Scientist 6.0 About the Book: An Introduction to Management Science: Quantitative Approaches to Decision Making Introduce your students to management science techniques withthe thorough, applications-oriented coverage you can trust from thedefinitive leader in traditional management science texts. Thebest-selling Anderson/Sweeney/Williams/Martin's Introduction toManagement Science: A Quantitative Approach to Decision Making,13E, has helped define the topical coverage presented withintoday's management science course curriculum. This book provides athorough grounding in ma

Genres: Management, Business, Reference

Paperback

First published January 1, 1976

About the author

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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!