Network and Discrete Location
Models, Algorithms, and Applications
2nd Edition
Published on 21. June 2013
536 pages
978-1-118-53703-9 (ISBN)
Description
Praise for the First Edition
This book is refreshing to read since it takes animportant topic...
and presents it in a clear and concise manner by usingexamples that include visual presentations of the problem,solution methods, and results along with an explanation ofthe mathematical and procedural steps required to model theproblem and work through to a solution."--Journal of Classification
Thoroughly updated and revised, Network and DiscreteLocation: Models, Algorithms, and Applications, SecondEdition remains the go-to guide on facility location modeling.The book offers a unique introduction to methodological tools forsolving location models and provides insight into when eachapproach is useful and what information can be obtained.
The Second Edition focuses on real-world extensions ofthe basic models used in locating facilities, including productionand distribution systems, location-inventory models, anddefender-interdictor problems. A unique taxonomy of locationproblems and models is also presented. Featuring examples using theauthor's own software--SITATION, MOD-DIST, andMENU-OKF--as well as Microsoft Office® Excel®, thebook provides:
* A theoretical and applied perspective on location modelsand algorithms
* An intuitive presentation of the uses and limits ofmodeling techniques
* An introduction to integrated location-inventory modelingand defender-interdictor models for the design of reliable facilitylocation systems
* A full range of exercises to equip readers with anunderstanding of the basic facility location model types
Network and Discrete Location: Models, Algorithms, andApplications, Second Edition is an essential resource forpractitioners in applied and discrete mathematics, operationsresearch, industrial engineering, and quantitative geography. Thebook is also a useful textbook for upper-level undergraduate,graduate, and MBA courses.
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Book
10/2013
2nd Edition
Wiley
€150.50
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06/2013
Wiley
€149.53
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Person
MARK S. DASKIN, PhD, is Clyde W. Johnson CollegiateProfessor of Industrial and Operations Engineering as well asDepartment Chair at the University of Michigan. Dr. Daskin is theformer editor-in-chief of both Transportation Science andIIE Transactions and continues to serve on the editorialboards of both journals. He is also on the editorial board of theIIE Transactions on Healthcare Systems Engineering and isthe author of the award-winning book Service Science, alsopublished by Wiley.
Content
1 Introduction to Location Theory and Models
1.1 INTRODUCTION
1.2 KEY QUESTIONS ADDRESSED BY LOCATION MODELS
1.3 EXAMPLE PROBLEM DESCRIPTIONS
1.3.1 Ambulance Location
1.3.2 Siting Landfills for Hazardous Wastes
1.3.3 Summary
1.4 KEY DIMENSIONS OF LOCATION PROBLEMS AND MODELS
1.4.1 Planar versus Network versus Discrete Location Models
1.4.2 Tree Problems versus General Graph Problems
1.4.3 Distance Metrics
1.4.4 Number of Facilities to Locate
1.4.5 Static versus Dynamic Location Problems
1.4.6 Deterministic versus Probabilistic Models
1.4.7 Single- versus Multiple-Product Models
1.4.8 Private versus Public Sector Problems
1.4.9 Single-versus Multiple-Objective Problems and Models
1.4.10 Elastic versus Inelastic Demand
1.4.11 Capacitated versus Uncapacitated Facilities
1.4.12 Nearest Facility versus General Demand Allocation Models
1.4.13 Hierarchical versus Single-Level Models
1.4.14 Desirable versus Undesirable Facilities
1.5 A TAXONOMY OF LOCATION MODELS
1.5.1 Typology of location models
1.5.2 A simple analytic model
1.6 SUMMARY
1.7 EXERCISES
Figure 1.1 Typical tradeoff in maximum covering model
Figure 1.2 Dispatching options in a multi-tiered system
Figure 1.3 Example trees and graphs
Figure 1.4 Alternative Taxonomy of Location Models
Figure 1.5 Service area and directions of travel for a simple analytic location model
Figure 1.6 Example service region subdivided into 9 subregions
Figure 1.7 Typical cost components in a simple analytic model
Figure 1.8 Ratio of actual to optimal cost versus ratio of actual to optimal number of facilities for the simple analytic model
Table 1.1 Allowable range of alpha for various percentage errors in the optimal cost for the simple analytic model
