Application of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Bank Branch Location Selection

Abstract

Location selection problem in banking is an important issue for the commercial success in competitive environment. There is a strategic fit between the location selection decision and overall performance of a new branch. Providing physical service in requested location as well as alternative distribution channels to meet profitable client needs is the current problematic to achieve the competitive advantage over the rivalry in financial system. In this paper, an integrated model has been developed to support in the decision of branch location selection for a new bank branch. Analytic Hierarchy Process (AHP) technique has been conductedto prioritize of evaluation criteria, and multi-objective optimization on the basis of ratio analysis (MOORA) method has been applied to rank location alternatives of bank branch.

ANP-MOORA-based approach for the analysis of selected issues of green supply chain management

“…The MOORA method was first introduced by Brauers and Zavadskas (2009) as a multi-objective optimization technique that can be successfully applied to solve various types of complex decision making problems in the manufacturing environment. The MOORA method (Kalibatas and Turskis, 2008;Maniya and Bhatt, 2011;Chandra et al, 2013;Attri and Grover, 2015;Görener et al, 2016) starts with a decision matrix showing the performance of different alternatives with respect to various attributes (objectives):…”

Combined Multi-Criteria Decision Making Approach Based On Macbeth And Multi-MOORA Methods

“…Although MOORA is a relatively new method it has been applied to different areas in the literature. For example, MOORA method is used for privatization in a transition economy [22], determining the ranking of contractor firms [23], road design [24], evaluation of inner climate [25], regional development studies [26,27], project management [28], parametric optimization of milling process [29], the selection of optimal network [30], determining the critical path in project management [31], determining the popularity of touristic places [32], supply chain strategy selection [33], selecting the best intelligent manufacturing system [34], personnel selection [35,36], bank branch location selection [37], ranking cloud storage technology firms [38].…”

Bir Demir Çelik İşletmesinin Performansının Çok Kriterli Karar Verme Yöntemleri İle Değerlendirilmesi

“…Kamu Bankalarının Performans Değerlendirmesi (Demireli, 2010: 101-112) İşletmelerin Finansal Performans Değerlendirmesi (Özgüven, 2011:151-162), (Akyüz vd, 2011: 73-92), (Saldanlı ve Sırma, 2014: 185-202) Yeraltı Su Değerlerinin Ölçülmesi (Bruyas vd., 2012:1-7) Fotoğraf Makinesi Seçimi (Pawar ve Verma, 2013:51-53) Havayolu Şirketlerinin Performansı (Ömürbek ve Kınay, 2013: 343-363) MULTIMOORA Yöntemi İle İlgili Yapılan Bazı Çalışmalar Özelleştirme Uygulamalarının Değerlendirilmesi (Brauers ve Zavadskas, 2006: 445-469) Binalarda İç İklim Değerlendirmesi (Kalibatas ve Turskis, 2008: 79-83) Yol Dizaynı Optimizasyonu (Brauers, Zavadskas ve Peldschus, 2008: 541-548) Tasarım Alternatifleri Seçimi (Kracka, Brausers ve Zavadskas, 2010: 352-359) Banka Şube Yeri Seçimi (Görener, Dinçer ve Hacıoğlu, 2013: 41-52) MAUT Yöntemi İle İlgili Yapılan Bazı Çalışmalar Uygun Yer Seçimi (Wang, Wee ve Ofori, 2002: 625-645) Risk Faktörü Belirleme (Gomez vd., 2003;570-585) Üretim Tesisi Kurmak İçin Ülke Seçimi (Canbolat, Chelst ve Garg, 2007: 312-325) Tahliye Kararlarının Alınması (Kailiponi, 2010: 163-174) Uygun Havalimanı Yeri Seçimi (Türkoğlu ve Uygun, 2014: 1425-1433) Kurumsal Performans Değerlendirme (Alp vd., 2015: 65-81) Finansal Performans Değerlendirme (Öztel, 2012: 1-155)…”