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• W2275842836 abstract "One of the most crucial decision making processes in banking is optimally locating new branches. This issue is highly important especially for private banks due to vibrant competition, limited budgets and high customer expectations. This study’s objective is to provide an integrated model for selecting optimal site location using available data sources and well accepted decision models, specifically Analytic Hierarchy Process (AHP), Geographic Information System (GIS) and Maximal Covering Location Problem (MCLP).As a case study, we applied the proposed method for branch location of a private bank in the city of Rasht, Iran. The process identified the most commonly used criteria for branch location consideration. These were restricted to the most important criteria through expert judgment elicitation, yielding demographic attributes, cost, competition, transportation, flexibility, access to public facilities. Criteria and sub-criteria weights were quantified through pair-wise comparison using expert judges, via AHP. Critical geospatial criteria data for potential sites (population densities and relative distances between competitors, amongst others), were determined through ArcGIS software, yielding 10 potential sites. A MCLP model was then developed to maximize the demand coverage when there is limited budget to establish new branches. These results demonstrate the efficiency and applicability of the proposed integrated method." @default.
• W2275842836 created "2016-06-24" @default.
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• W2275842836 date "2015-01-01" @default.
• W2275842836 modified "2023-09-23" @default.
• W2275842836 title "An Integrated AHP-GIS-MCLP Method to Locate Bank Branches" @default.
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