A Decision Support Methodology for Locating Bank Branches: A Case Study in Turkey

Ayfer Basar (), Özgür Kabak () and Y. Ilker Topcu
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Ayfer Basar: Industrial Engineering Department, Istanbul Technical University, Macka Campus 34357, Istanbul, Turkey
Özgür Kabak: Industrial Engineering Department, Istanbul Technical University, Macka Campus 34357, Istanbul, Turkey
Y. Ilker Topcu: Industrial Engineering Department, Istanbul Technical University, Macka Campus 34357, Istanbul, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2017, vol. 16, issue 01, 59-86

Abstract: This paper presents an integrated decision support methodology for locating bank branches. The methodology is composed of two stages: problem structuring, and modeling. In the first stage, initially, a number of criteria are selected with the help of a detailed literature review and expert opinions. Subsequently, importance weights of these criteria for different types of bank branches are identified based on judgments of experts for pairwise comparison questions. At the modeling stage, considering the characteristics and importance of the criteria, a novel multi-objective mathematical programming model is proposed to find specific locations of bank branches. The proposed methodology is applied in locating branches of a Turkish bank. In order to test the validity of the results and robustness, a sensitivity analysis is conducted and the solutions are found to be robust.

Keywords: Decision-making; problem structuring; bank branches; location; multi-objective programming; real life application (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219622016500462

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