For over four decades, Introduction to Operations Research has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by 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 new section and chapters, updated problems, 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.
McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.
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.
Muito bom esse livro. Não li todas as páginas, só até a página 300, pois eu só precisava pra concluir a cadeira de IPO, mas pelo tanto que eu li já é o suficiente pra dar a nota. Pelo tanto que eu li, o livro introduz cada coisa de uma forma muito facilitada, e é recomendado vc ler a mesma pagina várias vezes pra abstrair o conteúdo do livro.
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, it 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.
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!