Location of a new banking agency in Sfax: a multi-criteria approach

Hela Moalla Frikha, Habib Chabchoub and Jean Marc Martel

International Journal of Information and Decision Sciences, 2017, vol. 9, issue 1, 45-76

Abstract: Sfax is an important economic pole in Tunisia, distinguished in all economic sectors of activity by its increasing rate of employment. Besides, many new projects are implemented in Sfax as well as in its suburbs. These factors contribute to increase the necessity of resorting to banks either to deposit the collected funds or to obtain credits. Since banks play an important and indispensable role for the promotion of the national economy, Tunisian banks follow propagation policies in order to ensure coverage of Tunisian territory through the installation of news banking agencies. To maximise its profitability, the 'Tunisian Development Bank' carry out a survey in order to choose the best sites to set up its new agencies. In this framework, we will develop in this paper a preference disaggregation approach based on PROMETHEE method. The proposed approach deduces, in an objective way, PROMETHEE's parameters from binary preference relations provided by the decision maker and then allows ranking the different sites for the setting up of the new banking agency.

Keywords: multicriteria decision analysis; MCDA; facility location; mathematical programming; banking agencies; PROMETHEE; preferences disaggregation; Sfax; Tunisia; bank sites; multicriteria decision making; MCDM. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=82403 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:9:y:2017:i:1:p:45-76

Access Statistics for this article

More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().