Contributions to Location Analysis

Honors the father of location analysis Chapter authors bring developments that began with Drezner's research completely up to date Editors are two of the best known scholars in the field

Autorentext
H. A. Eiselt is a Professor in the Faculty of Business Administration at the University of New Brunswick, Canada. He joined the Faculty of Business Administration in 1986 and is a member of the Quantitative Methods Area. He teaches Quantitative Analysis and Location Theory in the BBA program. Dr. Eiselt received the UNB Merit Award in 1991 and 2016. He received the Faculty of Business Administration's Excellence in Research Award in 1998, 2003, and 2015 for outstanding performance across his career. He is Associate Editor of INFOR. He is also a member of the Advisory or Editorial Boards of Computers & Operations Research, and the International Journal of Operations, Quantitative Management. He has published 115 articles in scientific journals as well as ten books with Springer. His main interests are in the fields of location theory, decision analysis, and optimization.
**Vladimir Marianov** is a Professor in the Electrical Engineering Department at the Pontificia Universidad Católica de Chile in Santiago, Chile. His research and teaching interests are in the areas of facility location and network design, as well as telecommunications. He has published over 75 papers on location of public services (schools, prisons, and landfills), location under congestion (bank branches, primary health services) and location of competitive facilities, including multipurpose shopping. He has co-edited several books, as well as authored several book chapters, on subjects including Location of Emergency Systems, Location in the Public Sector, Location of Jails, and Competitive Location. He is a member of the editorial or advisory boards of Computers & Operations Research, OR Spectrum and TOP. He received the biennial College of Engineering Award for Excellence in 2016.

Inhalt
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.