From the fast food franchise down the street to a regional landfill a hundred miles away, from a community hospital around the corner to automobile assembly plants across the country, better facility locations can assist individuals and organizations In achieving their goals and realizing their objectives.

Facility location models allow analysts and decision makers to explore trade-offs between different objectives, to analyze the impacts of constraints on facility siting decisions, and to consider alternative options.

Network and Discrete Location offers a practice-oriented introduction to the art and science of mathematical facility location modeling. By focusing on model development, solution algorithms, and practical applications, the text gives readers an intuitive knowledge of the capabilities and limitations of different modeling techniques.

The book features software that solves many of the traditional facility location models using a variety of algorithms, thereby allowing readers to gain hands-on experience in the use of different models and algorithms using realistically sized data sets. End-of-chapter exercises review fundamental concepts and algorithms, enhance model-building skills, and link theory to practice through the use of the software.