Facility location : applications and theory

Başlık:

Yazar:

Drezner, Zvi.

ISBN:

9783540421726

Yayım Bilgisi:

Berlin ; New York : Springer, c2002.

Fiziksel Tanım:

xvi, 457 p. : ill., maps ; 24 cm.

Contents:

The Weber problem / Zvi Drezner ... [et al.] -- Continuous covering location problems / Frank Plastria -- Discrete network location models / John Current, Mark Daskin, David Schilling -- Location problems in the public sector / Vladimir Marianov, Daniel Serra -- Consumers in competitive location models / Tammy Drezner, H.A. Eiselt -- An efficient genetic algorithm for the p-median problem / Burçin Bozkaya, Jianjun Zhang, Erhan Erkut -- Demand point aggregation for location models / Richard L. Francis, Timothy J. Lowe, Arie Tamir -- Location software and interface with GIS and supply chain management / Thorsten Bender ... [et al.] -- Telecommunication and location / Eric Gourdin, Martine Labbâe, Hande Yaman -- Reserve design and facility siting / Charles ReVelle, Justin C. Williams -- Facility location problems with stochastic demands and congestion / Oded Berman, Dmitry Krass -- Hub location problems / James F. Campbell, Andreas T. Ernst, Mohan Krishnamoorthy -- Location and robotics / Oliver Karch, Hartmut Noltemeier, Thomas Wahl -- The quadratic assignment problem / Franz Rendl.

Konu Terimleri:

Management science -- Mathematical models.

Operations research -- Mathematical models.

Industrial location -- Mathematical models.

Yönetim bilimi -- Matematiksel modeller.

Yöneylem araştırması -- Matematiksel modeller.

Endüstriyel yerleşim -- Matematiksel modeller.

Added Author:

Drezner, Zvi.

Hamacher, Horst.

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Library	Materyal Türü	Barkod	Yer Numarası	Durum
Searching... Pamukkale Merkez Kütüphanesi	Kitap	0036776	T57F33 2002	Searching... Unknown

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Özet

Wouldn't it be nice to have a book on location analysis which - contains most of the main stream topics, - could be used for teaching purposes, - could be used for self study or reference, - would motivate the material not only by reviewing the theoretical results, but also by giving some of the practieal success stories using location theory as model for problems in industry and management science? As the reader may guess, this question is a rhetoric one - sure it would be niee to have such a book, and many who want to leam about the subject or teach corresponding courses in university departments of mathematics, man agement science, computer science, geography, civil engineering, etc. would be likely users of such a book. Practitioners who want to find out, whether one of their problems can be solved with one of the location tools would love to get a quiek overview of what is available in this area. Researchers could use the book to check whether there is any new literat ure on a location subject they would want to work on. This book is an attempt to satisfy this wish list. We were lucky enough to find many of the most prominent researchers and practitioners in the world, who contributed 14 chapters to a book in which the largest part of the location area is covered. A most up-to-date collection of references is provided at the end of each chapter.

Zvi Drezner and Kathrin Kalmroth and Anita Schöbel and George O. WesolowskyFrank PlastriaJohn Current and Mark Daskin and David SchillingVladimir Mrianov and Daniel SerraTammy Drezner and H. A. EiseltBurcin Bozkaya and Jianjun Zhang and Erhan ErkutRichard L. Francis and Timothy J. Lowe and Arie TamirThorsten Bender and Holger Hennes and Jörg Kalcsics and M. Teresa Melo and Stefan NickelEric Gourdin and Martine Labbé and Hande YamanCharles Re Velle and Justin C. WilliamsOded Berman and Dmitry KrassJames F. Campbell and Andreas T. Ernest and Mohan KrishnamoorthyOliver Karch and Hartmut Noltemeier and Thomas WahlFranz Rendl

1 The Weber Problem	p. 1
1.1 Introduction	p. 1
1.2 History and Literature Review	p. 3
1.3 Solution Procedures	p. 6
1.4 Properties of the Weber Problem	p. 11
1.5 Other Distance Measures	p. 13
1.6 Multiple Facilities	p. 16
1.7 Restricted Weber Problems	p. 18
1.8 Line Location and Dimensional Facilities	p. 20
1.9 Extensions	p. 23
1.10 Epilogue	p. 24
5References	p. 24
2 Continuous Covering Location Problems	p. 37
2.1 Introduction	p. 37
2.2 Full Covering	p. 45
2.3 Maximal Covering	p. 56
2.4 Empty Covering	p. 60
2.5 Minimal Covering	p. 63
2.6 Push-Pull Covering Models	p. 64
2.7 Positioning Models	p. 65
2.8 Multiple Facility Covering Location Models	p. 65
2.9 Extensive Facility Covering Location Models	p. 69
References	p. 72
3 Discrete Network Location Models	p. 81
3.1 Introduction	p. 81
3.2 Basic Facility Location Models	p. 82
3.3 Location-Routing Models	p. 95
3.4 Facility Location-Network Design Models	p. 96
3.5 Multiobjective Models	p. 96
3.6 Dynamic Location Models	p. 98
3.7 Stochastic Location Models	p. 98
3.8 Solution Approaches for Location Models	p. 101
3.9 Conclusions	p. 107
References	p. 108
4 Location Problems in the Public Sector	p. 119
4.1 Introduction	p. 119
4.2 Covering Models in the Public Sector	p. 120
4.3 p-Median Models in Public Facility Location	p. 132
4.4 Conclusions	p. 142
References	p. 143
5 Consumers in Competitive Location Models	p. 151
5.1 Introduction	p. 151
5.2 Incorporating Facilities Features	p. 155
5.3 The Lack of Rationality	p. 160
5.4 More Complex Customer Behavior	p. 164
5.5 Conclusions	p. 169
References	p. 69
6 An Efficient Genetic Algorithm for the p-Median Problem	p. 179
6.1 Introduction	p. 179
6.2 The p-Median Problem	p. 180
6.3 Genetic Algorithms	p. 182
6.4 Review of the Relevant Literature	p. 184
6.5 The Proposed Genetic Algorithm	p. 186
6.6 Computational Study	p. 192
6.7 Conclusions	p. 202
References	p. 204
7 Demand Point Aggregation for Location Models	p. 207
7.1 Introduction	p. 207
7.2 The Aggregation Problem	p. 208
7.3 Aggregation Error	p. 210
7.4 Guidelines for Aggregation	p. 214
7.5 An Aggregation Algorithm	p. 215
7.6 Computational Experience	p. 219
7.7 Error Bound Generalizations	p. 222
7.8 Summary	p. 229
References p. 230
8 Location Software and Interface with GIS and Supply Chain Management	p. 233
8.1 Introduction	p. 233
8.2 LoLA- Library of Location Algorithms	p. 235
8.3 LoLA goes GIS	p. 249
8.4 Supply Chain Management	p. 255
8.5 Outlook	p. 271
References	p. 272
9 Telecommunication and Location	p. 275
9.1 Introduction	p. 275
9.2 Uncapacitated Models	p. 278
9.3 Capacitated Concentrator Location Problem	p. 288
9.4 Capacitated Models	p. 299
9.5 Dynamic Models	p. 301
References	p. 302
10 Reserve Design and Facility Siting	p. 307
10.1 Introduction	p. 307
10.2 Set Covering Problems	p. 308
10.3 Maximal Covering Problems	p. 311
10.4 Redundant/Backup Coverage Problems	p. 313
10.5 Chance Constrained Covering Models	p. 316
10.6 Expected Covering Models	p. 323
10.7 Conclusion	p. 326
References	p. 326
11 Facility Location Problems with Stochastic Demands and Congestion	p. 329
11.1 Introduction	p. 329
11.2 Coverage Problems with Stochastic Demand and Congestion	p. 339
11.3 Problems with Median-Type Objective: The Stochastic Queue Mode	p. l356
11.4 Conclusions and Open Problems	p. 368
References	p. 369
12 Hub Location Problems	p. 373
12.1 Introduction	p. 373
12.2 Background	p. 374
12.3 Recent Trends	p. 381
12.4 Models and Taxonomy	p. 383
12.5 Applications	p. 388
12.6 Solving Hub Location Problems	p. 393
12.7 Conclusions	p. 400
References	p. 402
13 Location and Robotics	p. 409
13.1 Introduction	p. 409
13.2 Related Problems	p. 410
13.3 A Short Overview of the Localization Problem	p. 410
13.4 Solving the Geometric Problem	p. 413
13.5 A Sharper Bound for $$	p. 417
13.6 Problems in Realistic Scenarios	p. 422
13.7 Adaptation to Practice	p. 424
13.8 Suitable Distances for d(S, V*) and D( )	p. 426
13.9 Our Implementation RoLoPro	p. 432
13.10 Experimental Tests	p. 435
13.11 Possible Enhancements to the Algorithms	p. 436
References	p. 436
14 The Quadratic Assignment Problem	p. 439
14.1 Introductory Example	p. 439
14.2 Equivalent Formulations of QAP	p. 440
14.3 Applications	p. 442
14.4 Computational Complexity of QAP	p. 443
14.5 Relaxations of QAP	p. 443
14.6 Heuristics	p. 453
14.7 Computational Experience	p. 454
14.8 Bibliographical Notes	p. 455
References	p. 455

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