Multicriteria Location Analysis
Book information
Description
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. Preface Contents Chapter 1: Introduction References Part I: Tools and Techniques of Multicriteria Location Analysis Chapter 2: Single-Objective Optimization Appendix A.1 Sensitivity Analysis A.2 Visualizations of Sensitivity Analyses A.3 Modeling Nonlinear Functions A.4 Piecewise Linearization of Nonlinear Constraints A.5 Heuristics References Chapter 3: Multicriteria Decision Making 3.1 The Basic Setting 3.2 Some Approaches in the MOP and MADM Settings 3.3 Methods for MOP Problems 3.4 Methods for MADM Problems 3.4.1 Making It Work References Chapter 4: Location Models 4.1 The Basic Setting 4.2 The Main Features of Location Problems 4.3 The Basic Models and Their Extensions 4.3.1 Problems with ``Pull´´ Objective 4.3.2 Problems with ``Push´´ Objective 4.3.3 Problems with ``Balancing´´ Objective 4.4 Evaluation of Point Patterns 4.5 Making It Work References Chapter 5: Mathematical and Geospatial Tools 5.1 Interpolation/Curve Fitting 5.1.1 Regressions 5.1.2 Voronoi Diagrams 5.2 GIS Tools 5.2.1 Basic Elements and Features 5.2.2 Geoprocessing Tools 5.3 Voting Procedures 5.4 Making It Work 5.4.1 Interpolation and Curve Fitting 5.4.2 Voting Procedures References Software Resources Some GIS Tools Part II: Model Applications Chapter 6: Locating a Landfill with Vector Optimization 6.1 Making It Work References Chapter 7: Using Goal Programming to Locate a New Fire Hall 7.1 Making It Work References Chapter 8: Locating a Hospital with a Zoom Approach 8.1 Making It Work References Chapter 9: Locating a Private School with a Generic Method 9.1 Making It Work References Chapter 10: Locating Jails with a Target Value Approach 10.1 Making It Work References Chapter 11: A Rejection Approach to Locate a New City Park 11.1 Making It Work References Chapter 12: Locating a New Fulfillment Center with the Domain Criterion 12.1 Making It Work References Chapter 13: Locating Fast Food Restaurants with the Analytic Hierarchy Process 13.1 Making It Work References Chapter 14: Locating Billboards with the Jefferson-d´Hondt Method 14.1 Making It Work References Chapter 15: Locating an Airport by Voting 15.1 Making It Work References Part III: Practitioner Perspective Chapter 16: How Location Works in Practice: A Perspective from the United States 16.1 Introduction 16.2 Area Development´s Annual Survey of Critical Site Selection Factors 16.3 Workforce-Related Factors 16.4 Infrastructure and Proximity-Related Factors 16.5 Tax Climate and Incentives 16.6 Locational Decision-Making Process 16.7 Global Location 16.8 Influence of State Rankings 16.9 Trends in Economic Development Strategies to Facilitate Site Selection 16.10 Location of ``Undesirable´´ Facilities References
Similar books
Contributions to Location Analysis: In Honor of Zvi Drezner’s 75th Birthday
2019 · PDF
Operations Research: A Model-Based Approach
2022 · PDF
Nonlinear Optimization : Methods and Applications
2019 · PDF
Foundations of Location Analysis
2011 · PDF
Foundations of Location Analysis
2011 · PDF
Applications of Location Analysis
2015 · PDF
Operations Research: A Model-Based Approach
2012 · PDF
Operations Research: A Model-Based Approach
2012 · PDF