Facility Location

Applications and Theory

By: Zvi Drezner (Editor), Horst W. Hamacher (Editor)

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Hardcover | 20 November 2001

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480 Pages

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23.5 x 15.88 x 2.54

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The book covers both theory and applications of locational analysis (LocAn). The reader will see the power of LocAn models in various real-world contexts varying from communication design, robotics, mail delivery, etc. As such it is a valuable source for practitioners, lecturers and students. The book is divided into two parts: The first part contains chapters in which an overview of some of the LocAn methodologies is given. The second part describes in more detail some selected applications. The book is well-suited as source for a graduate course, but also for students, lecturers and practitioners who want to learn about LocAn through self-study. It gives researchers a state of the art review of available location models.

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Published: 1st July 2004

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The Weber Problem	p. 1
Introduction	p. 1
History and Literature Review	p. 3
Solution Procedures	p. 6
Properties of the Weber Problem	p. 11
Other Distance Measures	p. 13
Multiple Facilities	p. 16
Restricted Weber Problems	p. 18
Line Location and Dimensional Facilities	p. 20
Extensions	p. 23
Epilogue	p. 24
5References	p. 24
Continuous Covering Location Problems	p. 37
Introduction	p. 37
Full Covering	p. 45
Maximal Covering	p. 56
Empty Covering	p. 60
Minimal Covering	p. 63
Push-Pull Covering Models	p. 64
Positioning Models	p. 65
Multiple Facility Covering Location Models	p. 65
Extensive Facility Covering Location Models	p. 69
References	p. 72
Discrete Network Location Models	p. 81
Introduction	p. 81
Basic Facility Location Models	p. 82
Location-Routing Models	p. 95
Facility Location-Network Design Models	p. 96
Multiobjective Models	p. 96
Dynamic Location Models	p. 98
Stochastic Location Models	p. 98
Solution Approaches for Location Models	p. 101
Conclusions	p. 107
References	p. 108
Location Problems in the Public Sector	p. 119
Introduction	p. 119
Covering Models in the Public Sector	p. 120
p-Median Models in Public Facility Location	p. 132
Conclusions	p. 142
References	p. 143
Consumers in Competitive Location Models	p. 151
Introduction	p. 151
Incorporating Facilities Features	p. 155
The Lack of Rationality	p. 160
More Complex Customer Behavior	p. 164
Conclusions	p. 169
References	p. 69
An Efficient Genetic Algorithm for the p-Median Problem	p. 179
Introduction	p. 179
The p-Median Problem	p. 180
Genetic Algorithms	p. 182
Review of the Relevant Literature	p. 184
The Proposed Genetic Algorithm	p. 186
Computational Study	p. 192
Conclusions	p. 202
References	p. 204
Demand Point Aggregation for Location Models	p. 207
Introduction	p. 207
The Aggregation Problem	p. 208
Aggregation Error	p. 210
Guidelines for Aggregation	p. 214
An Aggregation Algorithm	p. 215
Computational Experience	p. 219
Error Bound Generalizations	p. 222
Summary	p. 229
	p. 230
Location Software and Interface with GIS and Supply Chain Management	p. 233
Introduction	p. 233
LoLA- Library of Location Algorithms	p. 235
LoLA goes GIS	p. 249
Supply Chain Management	p. 255
Outlook	p. 271
References	p. 272
Telecommunication and Location	p. 275
Introduction	p. 275
Uncapacitated Models	p. 278
Capacitated Concentrator Location Problem	p. 288
Capacitated Models	p. 299
Dynamic Models	p. 301
References	p. 302
Reserve Design and Facility Siting	p. 307
Introduction	p. 307
Set Covering Problems	p. 308
Maximal Covering Problems	p. 311
Redundant/Backup Coverage Problems	p. 313
Chance Constrained Covering Models	p. 316
Expected Covering Models	p. 323
Conclusion	p. 326
References	p. 326
Facility Location Problems with Stochastic Demands and Congestion	p. 329
Introduction	p. 329
Coverage Problems with Stochastic Demand and Congestion	p. 339
Problems with Median-Type Objective: The Stochastic Queue Mode	p. l356
Conclusions and Open Problems	p. 368
References	p. 369
Hub Location Problems	p. 373
Introduction	p. 373
Background	p. 374
Recent Trends	p. 381
Models and Taxonomy	p. 383
Applications	p. 388
Solving Hub Location Problems	p. 393
Conclusions	p. 400
References	p. 402
Location and Robotics	p. 409
Introduction	p. 409
Related Problems	p. 410
A Short Overview of the Localization Problem	p. 410
Solving the Geometric Problem	p. 413
A Sharper Bound for $$	p. 417
Problems in Realistic Scenarios	p. 422
Adaptation to Practice	p. 424
Suitable Distances for d(S, V*) and D(<$$>)	p. 426
Our Implementation RoLoPro	p. 432
Experimental Tests	p. 435
Possible Enhancements to the Algorithms	p. 436
References	p. 436
The Quadratic Assignment Problem	p. 439
Introductory Example	p. 439
Equivalent Formulations of QAP	p. 440
Applications	p. 442
Computational Complexity of QAP	p. 443
Relaxations of QAP	p. 443
Heuristics	p. 453
Computational Experience	p. 454
Bibliographical Notes	p. 455
References	p. 455
Table of Contents provided by Publisher. All Rights Reserved.

Facility Location

Applications and Theory

At a Glance

Hardcover

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Defective items

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Paperback

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