Location of banking automatic teller machines based on convolution

Mansour A. Aldajani; Hesham K. Alfares

doi:10.1016/j.cie.2009.05.013

Location of banking automatic teller machines based on convolution

Mansour A. Aldajani^*
, Hesham K. Alfares

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

In this paper, the problem of determining the optimum number and locations of banking automatic teller machines (ATMs) is considered. The objective is to minimize the total number of ATMs to cover all customer demands within a given geographical area. First, a mathematical model of this optimization problem is formulated. A novel heuristic algorithm with unique features is then developed to efficiently solve this problem. Finally, simulation results show the effectiveness of this algorithm in solving the ATM placement problem.

Original language	English
Pages (from-to)	1194-1201
Number of pages	8
Journal	Computers and Industrial Engineering
Volume	57
Issue number	4
DOIs	https://doi.org/10.1016/j.cie.2009.05.013
State	Published - Nov 2009

Bibliographical note

Funding Information:
This work is supported by King Fahd University of Petroleum and Minerals.

Keywords

ATM site selection
Facility location
Mathematical models
Optimization algorithms

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1016/j.cie.2009.05.013

Cite this

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title = "Location of banking automatic teller machines based on convolution",

abstract = "In this paper, the problem of determining the optimum number and locations of banking automatic teller machines (ATMs) is considered. The objective is to minimize the total number of ATMs to cover all customer demands within a given geographical area. First, a mathematical model of this optimization problem is formulated. A novel heuristic algorithm with unique features is then developed to efficiently solve this problem. Finally, simulation results show the effectiveness of this algorithm in solving the ATM placement problem.",

keywords = "ATM site selection, Facility location, Mathematical models, Optimization algorithms",

author = "Aldajani, \{Mansour A.\} and Alfares, \{Hesham K.\}",

note = "Funding Information: This work is supported by King Fahd University of Petroleum and Minerals. ",

year = "2009",

month = nov,

doi = "10.1016/j.cie.2009.05.013",

language = "English",

volume = "57",

pages = "1194--1201",

journal = "Computers and Industrial Engineering",

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T1 - Location of banking automatic teller machines based on convolution

AU - Aldajani, Mansour A.

AU - Alfares, Hesham K.

N1 - Funding Information: This work is supported by King Fahd University of Petroleum and Minerals.

PY - 2009/11

Y1 - 2009/11

N2 - In this paper, the problem of determining the optimum number and locations of banking automatic teller machines (ATMs) is considered. The objective is to minimize the total number of ATMs to cover all customer demands within a given geographical area. First, a mathematical model of this optimization problem is formulated. A novel heuristic algorithm with unique features is then developed to efficiently solve this problem. Finally, simulation results show the effectiveness of this algorithm in solving the ATM placement problem.

AB - In this paper, the problem of determining the optimum number and locations of banking automatic teller machines (ATMs) is considered. The objective is to minimize the total number of ATMs to cover all customer demands within a given geographical area. First, a mathematical model of this optimization problem is formulated. A novel heuristic algorithm with unique features is then developed to efficiently solve this problem. Finally, simulation results show the effectiveness of this algorithm in solving the ATM placement problem.

KW - ATM site selection

KW - Facility location

KW - Mathematical models

KW - Optimization algorithms

UR - https://www.scopus.com/pages/publications/71849109392

U2 - 10.1016/j.cie.2009.05.013

DO - 10.1016/j.cie.2009.05.013

M3 - Article

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SP - 1194

EP - 1201

JO - Computers and Industrial Engineering

JF - Computers and Industrial Engineering

IS - 4

ER -

Location of banking automatic teller machines based on convolution

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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