Available July 31, 2004 The 8th edition of Introduction to Operations Research remains the classic operations research text while incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text. This edition will also feature the latest developments in OR, such as metaheuristics, simulation, and spreadsheet modeling.
i did WONDERFUL in this class hehe the book explains everything really well and the excercises are as fun and challenging as they are doable i rarely read my math related textbooks but this one was a wonderful ride throughout the semester <3
Used as textbook for Introduction to Operations Research course for first-year MBA students at Graduate School of Industrial Administration, Carnegie Mellon University, Fall 1980.
It's funny to fangirl over a textbook but I have to say this textbook made me love stochastic modelling and its applications. I cannot speak for every industrial engineer out there, but as an Industrial Engineering student I believe this book is way more abstract in some topics, which was something I liked a lot during the time I used this book. I really hope to grasp all the concepts this book presented.
I used this book in my final year, mechanical engineering B.Sc. and it was very helpful.
The book is very extensive, it starts from basic level to advanced level in a gradual and harmonic way. It covers each and every concept, tool, technique, algorithm and problem solving method that I've ever known, and more than most people would need, both in studies and in industrial applications.
The 22 chapters are very interesting; very helpful explanation and solved examples, graphs, charts, tables. It's just wonderful. The use of spreadsheet and other solver software applications were the most interesting and helpful feature in the book too!
I skipped some advanced and unneeded chapters in the halfway, but I'm sure I will need to use this book forever and ever, both in study and work and even in life and fun!
Huge and thorough, and pretty well explained. Unfortunately, the subject matter itself (learning the intricate details of one algorithm after another) isn't quite as fun as I hoped!