This classic, best-selling text has been updated to include more examples and many new problems and applications, based on a market research survey of users and nonusers. The tutorial software available with the book has been revised and improved. Exceptionally clear in its presentation, this book offers comprehensive coverage of operations research, along with realistic examples and problems.
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.
I bought this book shortly after reading "The People's Republic of Walmart" when I had a little money to buy this textbook. I read the majority of it and came to the realization that yes you can run a socialist command economy with your average coterie of business majors and a few computers. All that Hayekian nonsense about the market being too complicated to run from a centralized or democratic place is nonsense. Multinational corporations run by business majors (yes those idiots from college) run enterprises the size of nation states, and with people of goodwill and these methods, we could run a decent socialist economy.
The beginning chapters after the introduction focus on linear programming and the simplex method, which is computationally manageable for optimizing a system with a large number of inputs and outputs. After that is explains why this is more manageable and various tricks and algorithmshms for managers to solve allocation problems with computers. for decades, the premier argument of capitalism was the calculation problem, and now to be told we solved that during WWII, and we could have had luxury communism back then.
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!