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

Document Type : Original Manuscript

Authors

1 MSc. Industrial Engineering, Faculty of Technical And Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran

2 Instructor, Faculty Member in Department of Industrial Engineering, Faculty of Technical And Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran

10.22094/joie.2017.706.1445

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.

Graphical Abstract

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

Highlights

  1. This paper investigated the problem of locating ATMs using multi-criteria decision-making techniques in Shahr Bank branches in Tehran 1st District Municipality.
  2. This paper attempted to extract criteria and factors affceting location of ATMs from a variety of sources.
  3. This paper, after the introduction of all models of the location and the deployments of Shahr Bank ATMs, multi-criteria decision-making techniques were used for this purpose as fuzzy.

Keywords

Main Subjects

References

Aldajani, M. A., and Alfares, H. K. (2009). Location of banking automatic teller machines based on convolution. Computers & Industrial Engineering, 57(4), 1194-1201.
Azkia, M., andDarbanAstaneh, A. (2003). Methods of research, first volume, Keyhan Publishing, Tehran.
Bamdad, N., andRafieMehrabadi, N. (2008). ATM service quality and customer satisfaction surveys.Jornal of Humanities and Social Sciences Management,31, 39-85.
Biabangard, E. (2005). Research Methods in Psychology, Tehran, Doran Publication.
Fen Li, C. (2007). Problems in Bank Branch Inefficiency: Management Scale and Location. C. F. Li / AsianJournal of Management and Humanity Sciences , 523-538
Figueira, J., Greco, S., andEhrgott, M. (2005). MultipleCriteria Decision Analysis: State of the art surveys, Springer eBook.
Fokerdi, R. (2005). Design a model for determining the settlement system facilities provides services in urban areas (Case Study: Agricultural Bank ATM machine placement in Tehran 10th District). AllamehTabatabaei University. School of Accounting and Management.
Godarzi, A., andzobeidi, H. (2008). The effect of the spread of electronic banking on the profitability of commercial banks in Iran. Iran Journal of Economic Research, 35, 111- 140.
Partovi, Y. F. (2006). An analytic model for locating facilities strategically.Omega, 34(1), 41-55.
Raimon Redondo, P., Laura Prieto, R., Karina Gibert, O., and AïdaValls, M. (2007). USE AND EVALUATION OF ELECTRE III/IV.
Ruiz Puente, C., Diego, M., Ortiz, J., Hernando, M., andHernaez, P. (2007). The Development of a New Methodology Based on GIS and Fuzzy Logic to Locate Sustainable Industrial Areas. 10th AGILE International Conference on Geographic Information Science. Aalborg University. Denmark.
Tahri, M., Hakdaoui, M., and Maanan, M. (2015). The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco. Renewable and Sustainable Energy Reviews, 51, 1354-1362.
Żak, J., andWęgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564.
Journal of Optimization in Industrial Engineering
Volume 11, Issue 2 - Serial Number 24
Summer and Autumn 2018
Pages 139-148

Files

Share

How to cite

Statistics