Hybrid Techniques of Multi-Criteria Decision-Making for Location of Automated Teller Machines (ATMs): Shahr Bank Branches in Tehran, 1st District Municipality

Subject Areas : Urban Planning

Alireza  Shahhoseini ¹ (MSc. Industrial Engineering, Faculty of Technical And Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran)
Mahdi  Yousefinejad Attari ² (Instructor, Faculty Member in Department of Industrial Engineering, Faculty of Technical And Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran)

Received: 2016-12-29 Accepted : 2017-04-10 Published : 2018-07-01

Keywords: Multi-Criteria Decision-Making, fuzzy theory, Analytical Hierarchy Process (AHP), Automated Teller Machin (ATM), ELECTRE IIImethod,

Abstract :

Location is an important factor in the activity of economic enterprises. Owing to the importance, location-based sciencesought/seeks to provide the methods in order to determine and select the optimal location in the activities of enterprises. Enterprises seek to use scientific methods to maximize the services and efficiency and minimize the costs. Suitable location plays an important role in many fields such as reducing the costs and increasing the customer satisfaction. Location studies have been proposed in recent years as one of the key elements in the success and survival of industrial centers as considered at many national and international levels. This study, as an applied research, provides a new framework in location of ATMs using multi-criteria decision-making approach and fuzzy AHP and fuzzy ELECTRE III. The multi-criteria decision-making approaches were based on similar studies in other countries and viewpoints of experts and managers of Shahr Bank branches in Tehran, 1st District Municipality, and the establishment of favorable sites was identified by combining the information in order to influence the location of ATMs including competitors (0.202), price of land (0.199), access to facilities and utilities, poles and important centers of town (0.189), quality of track (0.180), security (0.120), transport and traffic (0.112), population under coverage (0.065), and regulation (0.039). At the end, the most appropriate locations of establishment of ATMs were determined to cover the demands of Tehran, 1st District Municipality using fuzzy AHP methods and ELECTRE III.

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