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This book deals with an often-neglected feature of location
problems, namely uncertainty, by combining two related fields:
location theory and optimization. Written by leading researchers
and practitioners in these fields, each chapter examines one aspect
of the location process in different contexts, such as supply
chains; location decisions under congestion; disaster management;
design of resilient facilities; uncertainty in the health sector;
and facility location in the retail sector under uncertainty. The
book also addresses methodological aspects, such as
chance-constrained approaches, heuristic algorithms, scenario
approaches, and simulation. As such, it provides decision-makers
with essential methods, tools and approaches to help them deal with
these uncertainties. It is mainly intended for graduate students in
the fields of operations research and logistics, as well as
professionals in logistics and supply chain management.
This book is a volume in honor of Zvi Drezner's 75th birthday.
Professor Drezner is a leading scholar in location science. He
received his BSc degree in Mathematics in 1965 and his PhD. in
Computer Science ten years later, both from the Technion in Haifa,
Israel. Since 1978 he has published in excess of 300 papers in
refereed journals and books. He has received many honors, among
them the University Outstanding Professor in 2005-6, the
Outstanding Research Award (both from Cal State-Fullerton), the
Location Analysis Lifetime Achievement Award from the Society for
Location Analysis, and was named a Lifetime Fellow in INFORMS.Zvi
has worked in a variety of fields, but most prominently in
continuous location models. His main contributions include a 1982
paper on competitive location analysis, which was the first
contribution to formally use the von Stackelberg "leader-follower"
concept in the plane, contributions in 1989 (along with many
others) on the Weber problem, and work with Oded Berman on the
p-median under uncertainty in 2008. He has also enriched the
literature by many contributions that devise genetic algorithms and
tabu search techniques (both heuristic algorithms), as well as
global optimization techniques, such as the
"big-triangle-small-triangle" method, applied to location
problems.The chapters of the book have been chosen to provide
readers with a large variety of topics in the field of location
science, which normally are available only in many different
specialist journals. In addition to easily approachable surveys,
the contributions, written by the top specialists in the field,
present the latest results as well.
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, 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.
Location analysis has matured from an area of theoretical inquiry
that was designed to explain observed phenomena to a vibrant field
which can be and has been used to locate items as diverse as
landfills, fast food outlets, gas stations, as well as politicians
and products in issue and feature spaces. Modern location science
is dealt with by a diverse group of researchers and practitioners
in geography, economics, operations research, industrial
engineering, and computer science. Given the tremendous advances
location science has seen from its humble beginnings, it is time to
look back. The contributions in this volume were written by eminent
experts in the field, each surveying the original contributions
that created the field, and then providing an up-to-date review of
the latest contributions. Specific areas that are covered in this
volume include: * The three main fields of inquiry: minisum and
minimax problems and covering models * Nonstandard location models,
including those with competitive components, models that locate
undesirable facilities, models with probabilistic features, and
problems that allow interactions between facilities * Descriptions
and detailed examinations of exact techniques including the famed
Weiszfeld method, and heuristic methods ranging from Lagrangean
techniques to Greedy algorithms * A look at the spheres of
influence that the facilities generate and that attract customers
to them, a topic crucial in planning retail facilities * The theory
of central places, which, other than in mathematical games, where
location science was born
Location analysis has matured from an area of theoretical inquiry
that was designed to explain observed phenomena to a vibrant field
which can be and has been used to locate items as diverse as
landfills, fast food outlets, gas stations, as well as politicians
and products in issue and feature spaces. Modern location science
is dealt with by a diverse group of researchers and practitioners
in geography, economics, operations research, industrial
engineering, and computer science. Given the tremendous advances
location science has seen from its humble beginnings, it is time to
look back. The contributions in this volume were written by eminent
experts in the field, each surveying the original contributions
that created the field, and then providing an up-to-date review of
the latest contributions. Specific areas that are covered in this
volume include: * The three main fields of inquiry: minisum and
minimax problems and covering models * Nonstandard location models,
including those with competitive components, models that locate
undesirable facilities, models with probabilistic features, and
problems that allow interactions between facilities * Descriptions
and detailed examinations of exact techniques including the famed
Weiszfeld method, and heuristic methods ranging from Lagrangean
techniques to Greedy algorithms * A look at the spheres of
influence that the facilities generate and that attract customers
to them, a topic crucial in planning retail facilities * The theory
of central places, which, other than in mathematical games, where
location science was born
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 practitioner’s 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.Â
This book is a volume in honor of Zvi Drezner's 75th birthday.
Professor Drezner is a leading scholar in location science. He
received his BSc degree in Mathematics in 1965 and his PhD. in
Computer Science ten years later, both from the Technion in Haifa,
Israel. Since 1978 he has published in excess of 300 papers in
refereed journals and books. He has received many honors, among
them the University Outstanding Professor in 2005-6, the
Outstanding Research Award (both from Cal State-Fullerton), the
Location Analysis Lifetime Achievement Award from the Society for
Location Analysis, and was named a Lifetime Fellow in INFORMS.Zvi
has worked in a variety of fields, but most prominently in
continuous location models. His main contributions include a 1982
paper on competitive location analysis, which was the first
contribution to formally use the von Stackelberg "leader-follower"
concept in the plane, contributions in 1989 (along with many
others) on the Weber problem, and work with Oded Berman on the
p-median under uncertainty in 2008. He has also enriched the
literature by many contributions that devise genetic algorithms and
tabu search techniques (both heuristic algorithms), as well as
global optimization techniques, such as the
"big-triangle-small-triangle" method, applied to location
problems.The chapters of the book have been chosen to provide
readers with a large variety of topics in the field of location
science, which normally are available only in many different
specialist journals. In addition to easily approachable surveys,
the contributions, written by the top specialists in the field,
present the latest results as well.
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