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.
Recenzijos
Designed for last year undergraduate students with minor background in optimization and all those interested in the topic, this book starts with a short motivating chapter on multicriteria location literature, culminating in a list of 29 recent references covering as many different facility types, criteria and used multicriteria decision tools. ... Each chapter ends with a selected list of relevant references. The only ready-to-use software mentioned are free GIS tools ... . (Frank Plastria, zbMATH 1529.90002, 2024)
Preface.- Introduction.
Chapter 1: Single-objective optimization.-
Chapter 2: Multicriteria decision making.
Chapter 3: Location models.-
Chapter 4: Mathematical and geospatial tools.
Chapter 5: Locating a landfill
with vector optimization.
Chapter 6: Using goal programming to locate a new
fire hall.
Chapter 7: Locating a hospital with a zoom approach.- "Chapter 8:
Locating a private school with a generic method.
Chapter 9: Locating jails
with a target value approach.- "Chapter 10: A rejection approach to locate a
new city park.
Chapter 11: Locating a new fulfillment center with the domain
criterion.
Chapter 12: Locating fast food restaurants with the analytic
hierarchy process.
Chapter 13: Locating billboards with the
Jefferson-dHondt method.
Chapter 14: Locating an airport by voting.-
Chapter 15: How location works in practice: a perspective from the United
States.
H. A. Eiselt is a Professor in the Faculty of, University of New Brunswick, Canada. He joined the then 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. He received the Faculty of Business Administration's Excellence in Research Award in 1998, 2003 and 2014 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, International Journal of Operations, Quantitative Management. He has (co-)authored 121 scientific papers and has authored or edited 14 books, 11 with Springer.
Vladimir Marianov is an Emeritus Professor of Electrical Engineering at the Pontificia Universidad Católica de Chile in Santiago, Chile, where he teaches and performs research on Facility Location and Network Design. He has publishedover 90 refereed papers in international journals and presented a large number of papers at conferences and lectures, which has earned him international recognition. His research interests include the design and optimization of communication networks. He earned a degree in Telecommunications Engineering at the Universidad de Chile and his Master of Engineering and Doctor of Philosophy at the Johns Hopkins University, Baltimore, MD, USA.
Joyendu Joy Bhadury is Professor and Dean at the Davis College of Business and Economics at Radford University, Virginia, USA. Prior to his current appointment, he was Professor and Dean at the School of Business and Management at SUNYBrockport and Associate Dean of Research and Graduate Programs for the Bryan School of Business and Economics at The University of North Carolina at Greensboro. After completing his PhD in Management Science from the University of Texas at Dallas in 1991, he has also worked at the following institutions: University of New Brunswick, Canada, SUNY-Buffalo and California State University East Bay. His professional specialization is in Management Science and Operations, Logistics and Supply Chain Management and his work has been published in numerous national and international academic journals and supported by funding from various agencies in USA and Canada.
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