A mathematical model for facility location in banking industry

This paper presents an empirical investigation to determine the efficient locations of bank branch as well as automated banking machine. The study develops a mathematical model to minimize the cost of facility establishment subject to some constraints, which are associated with the population, acces...

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Main Authors: Amir Ehsani, Abolfazl Danaei, Mohammad Hemmati
Format: Article
Language:English
Published: Growing Science 2014-09-01
Series:Management Science Letters
Subjects:
Online Access:http://www.growingscience.com/msl/Vol4/msl_2014_246.pdf
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author Amir Ehsani
Abolfazl Danaei
Mohammad Hemmati
author_facet Amir Ehsani
Abolfazl Danaei
Mohammad Hemmati
author_sort Amir Ehsani
collection DOAJ
description This paper presents an empirical investigation to determine the efficient locations of bank branch as well as automated banking machine. The study develops a mathematical model to minimize the cost of facility establishment subject to some constraints, which are associated with the population, accessibility of facilities, etc. All input parameters are considered in terms of triangular fuzzy numbers and using some methods, they numbers are converted into crisp values. The method has been applied for four cities in province of Seman, Iran and using WinQSB, the efficient locations of the facilities for a private bank named Samen have been determined.
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spelling doaj.art-9da467e5a5fa40739d03473b0bf4d1f52022-12-22T01:27:37ZengGrowing ScienceManagement Science Letters1923-29341923-93432014-09-01492093209610.5267/j.msl.2014.8.011A mathematical model for facility location in banking industryAmir EhsaniAbolfazl DanaeiMohammad Hemmati This paper presents an empirical investigation to determine the efficient locations of bank branch as well as automated banking machine. The study develops a mathematical model to minimize the cost of facility establishment subject to some constraints, which are associated with the population, accessibility of facilities, etc. All input parameters are considered in terms of triangular fuzzy numbers and using some methods, they numbers are converted into crisp values. The method has been applied for four cities in province of Seman, Iran and using WinQSB, the efficient locations of the facilities for a private bank named Samen have been determined.http://www.growingscience.com/msl/Vol4/msl_2014_246.pdfFacility locationATMBanking industry
spellingShingle Amir Ehsani
Abolfazl Danaei
Mohammad Hemmati
A mathematical model for facility location in banking industry
Management Science Letters
Facility location
ATM
Banking industry
title A mathematical model for facility location in banking industry
title_full A mathematical model for facility location in banking industry
title_fullStr A mathematical model for facility location in banking industry
title_full_unstemmed A mathematical model for facility location in banking industry
title_short A mathematical model for facility location in banking industry
title_sort mathematical model for facility location in banking industry
topic Facility location
ATM
Banking industry
url http://www.growingscience.com/msl/Vol4/msl_2014_246.pdf
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AT abolfazldanaei amathematicalmodelforfacilitylocationinbankingindustry
AT mohammadhemmati amathematicalmodelforfacilitylocationinbankingindustry
AT amirehsani mathematicalmodelforfacilitylocationinbankingindustry
AT abolfazldanaei mathematicalmodelforfacilitylocationinbankingindustry
AT mohammadhemmati mathematicalmodelforfacilitylocationinbankingindustry