Operations Research

"The book under review gathers several of the most useful models for optimization with widespread applicability in operation planning. ... With the exception of Chapter 1, each chapter contains several numerical examples and ends with a set of exercises. This approach makes the book very helpful for a graduate course on mixed integer optimization models for non-mathematically oriented, business administration students. With its precise references to a bibliography of 120 titles ranging from 1954 to 2010, the book can serve well as a reference for researchers in the domain of operations planning."
-Mihai Cipu (Bucuresti), Zentralblatt MATH, 1327

"The book provides a technically sound, yet very readable, description of various state-of-the-art mathematical programming techniques that can be used to tackle relevant operations planning problems. In early chapters, important mathematical programming concepts are introduced in the context of archetypical optimization problems, such as the knapsack and the set covering problem. In later chapters, the book covers all classical operations planning problems; i.e., problems in production planning (single and multi-stage), distribution planning, location, and routing. Although none of the material is really new, it is nice to have it well-presented in a single book instead of scattered among various journal papers. Where appropriate, the material is illustrated with meaningful numerical examples and figures. Moreover, every chapter is concluded with challenging exercises, making this book suitable for courses at the advanced undergraduate or graduat level. Because it covers a wide range of techniques, the book can also be used to introduce readers to various concepts in mathematical programming, even if they don't have a particular interest in operations planning. In that case, the specific operations planning problems merely serve to illustrate the techniques."
-Albert P.M. Wagelmans, Erasmus University Rotterdam, The Netherlands