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Customer Allocation in Maximum Capture Problems

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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