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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| Format: | Article |
| Language: | English |
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Growing Science
2014-09-01
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| Series: | Management Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/msl/Vol4/msl_2014_246.pdf |
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| _version_ | 1849694927168995328 |
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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. |
| format | Article |
| id | doaj-art-9da467e5a5fa40739d03473b0bf4d1f5 |
| institution | DOAJ |
| issn | 1923-2934 1923-9343 |
| language | English |
| publishDate | 2014-09-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Management Science Letters |
| spelling | doaj-art-9da467e5a5fa40739d03473b0bf4d1f52025-08-20T03:19:56ZengGrowing 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 |
| work_keys_str_mv | AT amirehsani amathematicalmodelforfacilitylocationinbankingindustry AT abolfazldanaei amathematicalmodelforfacilitylocationinbankingindustry AT mohammadhemmati amathematicalmodelforfacilitylocationinbankingindustry AT amirehsani mathematicalmodelforfacilitylocationinbankingindustry AT abolfazldanaei mathematicalmodelforfacilitylocationinbankingindustry AT mohammadhemmati mathematicalmodelforfacilitylocationinbankingindustry |