Sheikh, Arifusalam, Salhi, Said, Ndiaye, Malick M. (2012) Customer Allocation in Maximum Capture Problems. Journal of Mathematical Modelling and Algorithms, 11 (3). pp. 281-293. ISSN 1572-9214. (doi:10.1007/s10852-012-9185-5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:29589)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1007/s10852-012-9185-5 |
Abstract
The maximum capture (MAXCAP) model and its variants have been
widely used to find the maximum capture that a firm can get as it enters a spatial
market where there are already existing (competitor’s) facilities. While the model
obtains the optimal demand capture, it however allows the customers to be assigned
to the non-closest facility which may incur additional operating costs. A two stage
method can be used that overcomes the drawback of the original model while
requiring a negligible extra computational effort. To make the original model mathematically
self contained and more concise two revised formulations of the problem
RMAXCAP-1 and RMAXCAP-2 are proposed which assure that the customers
patronize only their closest entering facilities. These models are tested on different
sizes of datasets and their performances are compared.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1007/s10852-012-9185-5 |
Uncontrolled keywords: | Maximum capture model· MAXCAP · Customer allocation · Location analysis |
Subjects: |
H Social Sciences H Social Sciences > H Social Sciences (General) |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Said Salhi |
Date Deposited: | 29 May 2012 13:17 UTC |
Last Modified: | 19 Sep 2023 15:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/29589 (The current URI for this page, for reference purposes) |
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