Operations Research: An Introduction

For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics. Designed to meet the needs of beginning through advanced students, this text provides balanced coverage of the theory, applications, and computations of operations research techniques-with a focus on deterministic models, probabilistic models, and nonlinear models. Exceptionally up-to-date, it features intensive use of modern computational tools, including the all-new and extremely-powerful Windows-based TORAA (R), ExcelA (R) spreadsheets, Excel SolverA (R), LINGOA (R) and AMPLA (R). These tools are integrated throughout the text in a manner that facilitates introducing and testing concepts that otherwise could not be presented effectively. Many concepts can be demonstrated instantly, simply by changing the data of the problem.

Major revision is designed to meet the needs of beginning through advanced students with an emphasis placed on the formulation and applications aspects. Provides balanced coverage of theory, applications and computations of operations research techniques. Numerical examples are main vehicle for explaining new ideas with each numeric example followed by a set of problems. TORA and SIMNET software included in text. More than 1,000 problems.