Open AccessBook
Facility location : a survey of applications and methods
Zvi Drezner
- 01 Jan 1995
924
TL;DR: In this paper, the authors present a methodology and analysis of facility location, including estimating distances, and global optimization in location, with the goal of reducing the number of workers in a facility.
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Abstract: Book Overview.- I Methodology and Analysis of Facility Location.- 1 Estimating Distances.- 1.1 Introduction.- 1.2 Norms as Distance Estimating Functions.- 1.3 The ?p Norm.- 1.4 Conclusions.- 2 Replacing Discrete Demand with Continuous Demand.- 2.1 Introduction.- 2.2 Formulation and Analysis.- 2.3 Evaluating a Double Integral.- 2.4 Analysis of the Example Problem.- 2.5 The Distance Correction Approach.- 2.6 Conclusions.- 3 Global Optimization in Location.- 3.1 Introduction.- 3.2 Branch-and-bound Methods.- 3.3 Lipschitz Optimization.- 3.4 Outer Approximation.- 3.5 Polyhedral Annexation.- 3.6 Decomposition Methods.- 3.7 Linearization Methods.- 3.8 Specialized Methods.- 3.9 Conclusions.- 4 Inferred Ideal Weights for Multiple Facilities.- 4.1 Introduction.- 4.2 Information Minimizing Model.- 4.3 Extensions to Multiple Facilities.- 4.4 Conclusions.- 5 Conjugate Duality in Facility Location.- 5.1 Introduction.- 5.2 Conjugate Duality Theory.- 5.3 The Minisum Model.- 5.4 The Minimax Model.- 6 Using Voronoi Diagrams.- 6.1 Introduction.- 6.2 The Voronoi Diagram.- 6.3 The Continuous p-median Problem.- 6.4 Continuous p-center Problems.- 6.5 The Time-Space p-Median Problem.- 6.6 Mobile Facility Location Problem (Constrained p-median).- 6.7 Other Continuous Location Problems.- 6.8 Conclusions.- II Various Objectives in Facility Location.- 7 Location with Market Externalities.- 7.1 Introduction.- 7.2 Notation and Assumptions.- 7.3 Analysis of User-Choice Equilibrium.- 7.4 Facility Location with Market Externalities.- 7.5 Resource Allocation with Market Externalities.- 7.6 Future Research and Conclusions.- 8 Objectives in Location Problems.- 8.1 Introduction.- 8.2 Elements of Location Models.- 8.3 Pull Objectives.- 8.4 Push Objectives.- 8.5 Balancing Objectives.- 8.6 Conclusions.- 8.7 Glossary.- 9 Distribution System Design.- 9.1 Introduction.- 9.2 A Case Study.- 9.3 Diagnostic Tools.- 9.4 Algebraic Language Tools.- 9.5 Conclusions.- 9.6 Annotated Bibliography.- 10 Siting Emergency Services.- 10.1 Introduction - What are the Important Issues?.- 10.2 Methods Based on Deterministic Optimization Models.- 10.3 Deterministic Models Addressing Congestion.- 10.4 Methods Based on Probabilistic Optimization Models.- 10.5 Descriptive Models and Heuristic Solution Procedures.- 10.6 Conclusions.- 11 Continuous Location Problems.- 11.1 Continuous Location.- 11.2 Distance.- 11.3 Dominance, Efficiency and Voting.- 11.4 Single Facility Location Problems.- 11.5 Single Facility Location-Allocation Problems.- 11.6 Multifacility Location Problems.- 11.7 Multifacility Location-Allocation Problems.- 11.8 Other Related Problems.- 12 Global Manufacturing Strategy.- 12.1 Introduction.- 12.2 Global Manufacturing Strategy Planning Process.- 12.3 The Production-Distribution System Design Problem.- 12.4 Designing International Production-Distribution Systems.- 12.5 Concluding Comments.- III Competitive Facility Location.- 13 Competitive Facility Location in the Plane.- 13.1 Introduction.- 13.2 The Deterministic Utility Model.- 13.3 The Random Utility Model.- 13.4 Gravity Models.- 13.5 Computational Results.- 13.6 Conclusions.- 14 Multifacility Retail Networks.- 14.1 Introduction.- 14.2 Location-Allocation Models.- 14.3 The Components of Retail Location-Allocation Models.- 14.4 Five Types of Location-Allocation Models.- 14.5 Applying Covering Models for Service Center Location.- 14.6 Extension to Basic Models.- 14.7 Conclusions.- 15 Economic Models of Firm Location.- 15.1 Introduction.- 15.2 Spatial Pricing Policies.- 15.3 Finding the Optimal Price(s).- 15.4 The Price-Continuous Facility Location Problem.- 15.5 The Price-Discrete Facility Location Problem.- 15.6 Conclusions.- 16 Competitive Location in Discrete Space.- 16.1 Introduction.- 16.2 Discrete Competitive Location Models: An Overview.- 16.3 A Review of The Maximum Capture Problem.- 16.4 Extensions of the Maximum Capture Problem.- 16.5 Extensions of the Pre-emptive Capture Problem.- 16.6 Conclusions.- IV Routing and Location.- 17 Flow-Interception Problems.- 17.1 Introduction.- 17.2 Deterministic Flow Interception Problems.- 17.3 Probabilistic Flow Interception Problems.- 17.4 Future Research.- 18 Location-Routing Problems with Uncertainty.- 18.1 Introduction.- 18.2 The Traveling Salesman Location Problem.- 18.3 The Probabilistic Traveling Salesman Location Problem.- 18.4 Applications to Systems Design and Strategic Planning.- 18.5 A Different Class of Stochastic Facility Location Problems.- 19 Location, Routing and the Environment.- 19.1 Introduction.- 19.2 The Mechanism of Airborne Pollution Spread.- 19.3 Relevant Features of Bicriterion Problems.- 19.4 Location of Obnoxious Facilities.- 19.5 Routing of Obnoxious Vehicles.- 19.6 Future Directions.- 20 Hazardous Materials Logistics.- 20.1 Introduction.- 20.2 Risk Assessment.- 20.3 Equity.- 20.4 Cost Aspects.- 20.5 Planning Potentially Hazardous Facilities.- 20.6 Hazardous Materials Transport Planning.- 20.7 Integrated Models.- 20.8 Conclusions and Suggestions.- References.
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Citations
Multiple Facilities Location in the Plane Using the Gravity Model
Tammy Drezner,Zvi Drezner +1 more
TL;DR: Two models are considered, which are unique in that the gravity rule is used for the allocation of demand among facilities rather than assuming that each customer selects the closest facility.
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Review of obnoxious facilities location problems
Richard L. Church,Zvi Drezner +1 more
TL;DR: This paper reviews research on the location of facilities that have a negative impact on surrounding communities which are defined in the literature, for example, as obnoxious, undesirable, or noxious facilities.
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Siting a facility in continuous space to maximize coverage of a region
Timothy C. Matisziw,Alan Murray +1 more
TL;DR: A model for maximizing the service coverage of continuously distributed demand through the location of a single service facility in continuous space is proposed and theoretical conditions are established and associated methods are proposed for optimally siting aservice facility in a region (Convex or non-convex) with uniformly distributed demand.
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Discrete location problems with push-pull objectives
TL;DR: An overview of a number of push-pull models, yielding alternative ways to incorporate both types of effects simultaneously, restricted to models of combinatorial optimisation and includes indications of reduction to standard models and/or algorithmic approaches where possible.
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Some personal views on the current state and the future of locational analysis
Pasquale Avella,Stefano Benati,L. Cánovas Martinez,Kevin N. Dalby,D. Di Girolamo,Branka Dimitrijevic,Gianpaolo Ghiani,Ioannis Giannikos,N. Guttmann,T. H. Hultberg,Jörg Fliege,Alfredo Marín,M. Munõz Márquez,Malick Ndiaye,Stefan Nickel,P. Peeters,D. Pérez Brito,S. Policastro,F. A. Saldanha De Gama,Pietro Zidda +19 more
TL;DR: In this paper a group of participants of the 12th European Summer Institute which took place in Tenerife, Spain in June 1995 present their views on the state of the art and the future trends in Locational Analysis.
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