Aggregation error bounds for a class of location models

R. L. Francis; T. J. Lowe; Arie Tamir

doi:10.1287/opre.48.2.294.12382

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Aggregation error bounds for a class of location models

Journal article

Peer reviewed

Aggregation error bounds for a class of location models

R. L. Francis, T. J. Lowe and Arie Tamir

Operations research, Vol.48(2), pp.294-307

03/01/2000

DOI: 10.1287/opre.48.2.294.12382

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Abstract

Many location models involve distances and demand points in their objective function. In urban contexts, there can be millions of demand points. This leads to demand point aggregation, which produces error. We identify a general model structure that includes most such location models, and present a means of obtaining error bounds for all models with this structure. The error bounds suggest how to do the demand point aggregation so as to keep the error small.

Details

Title: Subtitle: Aggregation error bounds for a class of location models
Creators: R. L. Francis - University of Florida
T. J. Lowe - University of Iowa
Arie Tamir - Tel Aviv University
Resource Type: Journal article
Publication Details: Operations research, Vol.48(2), pp.294-307
DOI: 10.1287/opre.48.2.294.12382
ISSN: 0030-364X
eISSN: 1526-5463
Number of pages: 14
Language: English
Date published: 03/01/2000
Academic Unit: Business Analytics
Record Identifier: 9984963211102771

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