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Chapter 1. My Career and Contributions -- Chapter 2. Understanding the Weber Location Paradigm -- Chapter 3. A general framework for local search applied to the continuous p-median problem -- Chapter 4. Big Triangle Small Triangle Method for the Weber Problem on the Sphere -- Chapter 5. Integer Location Problems -- Chapter 6. Continuous Location Problems -- Chapter 7. Voting for locating facilities: The wisdom of voters -- Chapter 8. Innovations in Statistical Analysis and Genetic Algorithms -- Chapter 9. Hub Location and Related Models -- Chapter 10. Gravity Models in Competitive Facility Location -- Chapter 11. Cover-Based Competitive Location Models -- Chapter 12. The Mean-Value-at-Risk Median Problem on a Network with Random Demand Weights -- Chapter 13. A Bivariate Exponential Distribution

This book, companion to Foundations of Location Analysis (Springer, 2011), highlights some of the applications of location analysis within the spheres of businesses, those that deal with public services, and applications that deal with law enforcement and first responders. While the Foundations book reviewed the theory and first contributions, this book describes how different location techniques have been used to solve real problems. Since many real problems comprise multiple objectives, in this book there is more presence of tools from multicriteria decision making and multiple-objective optimization. The section on business applications looks at such problems as locating bank branches, the potential location of a logistics park, sustainable forest management, and layout problems in a hospital, a much more difficult type of problem than mere location problems. The section on public services presents chapters on the design of habitats for wildlife, control of forest fires, the location of intelligent sensors along highways for timely emergency response, locating breast cancer screening centers, an economic analysis for the locations of post offices, and school location. The final section of the book includes chapters on the well-known problem of locating fire stations, a model for the location of sensors for travel time information, the problem of police districting, locations of jails, location of Coast Guard vessels, and, finally, a survey of military applications of location analysis throughout different periods of recent history

This book applies Multicriteria Decision Making (MCDM) tools and techniques to problems in location analysis. It begins with a generic model for MCDM and subsequently develops specific versions of the technique for particular location problems. Throughout the book, MCDM is understood to encompass all tools and techniques that choose or rank existing or feasible solutions, including discrete multi-attribute decision making (MADM) problems, which typically include an attribute table that specifies the consequences of each decision with regard to the given criteria, as well as multi-objective linear problems (MOLPs), which incorporate all objectives in a single optimization problem. The book is organized as follows: the first four chapters introduce readers to the basic tools and techniques used in single-objective optimization, multicriteria decision making, location analysis, and other tools, such as statistical regression and geographical information systems. This is followed by ten chapters on model applications, each of which introduces readers to a specific location problem and applies one technique to solve it. The book is then wrapped up in a closing chapter that looks at the location process from a practitioners point of view. This book is intended as a textbook for upper-undergraduate and master-level courses on location analysis. It will also benefit decision-makers who actually need to locate facilities. .