Journal ArticleDOI
The maximal covering location problem
Richard L. Church,Charles R. Velle +1 more
- Vol. 32, Iss: 1, pp 101-118
Reads0
Chats0
TLDR
The use of a maximal service distance as a measure of the value of a given locational configuration has been discussed at length by Toregas and ReVelle 1 who show that it is an important surrogate measurement for the value.Abstract:
The belief that mathematical location modeling can identify "optimal" location patterns rests on the basis that some realistic objective can be identified and by some measure quantified. For example, in the area of private facilities location analysis, a reasonably accurate statement of the objective of locating warehouses is to minimize the costs of manufacturing and distribution. Since most cost elements included in the objectives of private facility location can be reasonably estimated, the models can picture with some degree of accuracy the real location problem they are designed to solve. Unlike private facility location analysis, the objectives of public facility location analysis are more difficult to embrace and to quantify. The difficulty in defining direct measures of public objectives has resulted in a search for some surrogate measure with which the decision maker may be comfortable. Two different surrogate measures which have received attention in location models are: (1) total weighted distance or time for travel to the facilities, and (2) the distance or time that the user most distant from a facility would have to travel to reach that facility, that is, the maximal service distance.* The use of a maximal service distance as a measure of the value of a given locational configuration has been discussed at length by Toregas and ReVelle 1 who show that it is an important surrogate measurement for the value of a given locational configuration. For a given location solution, the maximum distance which any user would have to travel to reach a facility would reflect the worst possible performance of the system. In the regional location of emergency facilities such as fire stations or ambulance dispatching stations, the concept of the maximal service distance is well established. ~,3 The maximal service distance concept appears in the Location Set Coveringread more
Citations
More filters
Journal ArticleDOI
Strategic facility location: A review
Susan Hesse Owen,Mark S. Daskin +1 more
TL;DR: This review reports on literature which explicitly addresses the strategic nature of facility location problems by considering either stochastic or dynamic problem characteristics, with applications ranging across numerous industries.
Journal ArticleDOI
Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models
Dar A. Roberts,Margaret E. Gardner,Richard L. Church,Susan L. Ustin,G. Scheer,Robert O. Green,Robert O. Green +6 more
TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).
Journal ArticleDOI
Facility location in humanitarian relief
Burcu Balcik,Benita M. Beamon +1 more
TL;DR: A model that determines the number and locations of distribution centres in a relief network and the amount of relief supplies to be stocked at each distribution centre to meet the needs of people affected by the disasters is developed.
Journal ArticleDOI
A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution
TL;DR: In this article, the authors extended the maximum covering location model to account for the chance that when a demand arrives at the system it will not be covered since all facilities capable of covering the demand are engaged serving other demands.
Journal ArticleDOI
Reliability Models for Facility Location: The Expected Failure Cost Case
TL;DR: This paper forms reliability models based on both the PMP and the UFLP and presents an optimal Lagrangian relaxation algorithm to solve them, and discusses how to use these models to generate a trade-off curve between the day-to-day operating cost and the expected cost, taking failures into account.
References
More filters
Journal ArticleDOI
Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph
TL;DR: It is shown that the optimum location of a switching center is always at a vertex of the communication network while the best location for the police station is not necessarily at an intersection.
Journal ArticleDOI
Computer solutions of the traveling salesman problem
TL;DR: Two algorithms for solving the (symmetric distance) traveling salesman problem have been programmed for a high-speed digital computer and are based on a general heuristic approach believed to be of general applicability to various optimization problems.
Journal ArticleDOI
The location of emergency service facilities
TL;DR: In this paper, the location of emergency facilities is viewed as a set covering problem with equal costs in the objective, where sets are composed of the potential facility points within a specified time or
Book ChapterDOI
A Heuristic Program for Locating Warehouses
TL;DR: The heuristic approach outlined in this paper appears to offer significant advantages in the solution of this class of problems in that it provides considerable flexibility in the specification (modeling) of the problem to be solved and is economical of computer time.
Book
Principles of Operations Research: With Applications to Managerial Decisions
TL;DR: In this article, the principles of operations research with applications to managerial decisions are discussed with a focus on applying them to managerial decision making problems in the field of operation research and management.