Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network

The optimization of infrastructure maintenance costs in Automated Teller Machine networks of financial institutions is a huge problem faced through business intelligence as artificial intelligence for decision-making. This paper addresses the issue to optimize costs through the application of system...

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Autor principal: Calle-Sarmiento, L. (author)
Otros Autores: Bermeo-Moyano, J. (author), Castillo-Velazquez, Jose-Ignacio (author), Vayas, Germania (author)
Formato: article
Lenguaje:spa
Publicado: 2022
Acceso en línea:https://ieeexplore.ieee.org/document/9935754
https://hdl.handle.net/20.500.14809/3945
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author Calle-Sarmiento, L.
author2 Bermeo-Moyano, J.
Castillo-Velazquez, Jose-Ignacio
Vayas, Germania
author2_role author
author
author
author_facet Calle-Sarmiento, L.
Bermeo-Moyano, J.
Castillo-Velazquez, Jose-Ignacio
Vayas, Germania
author_role author
collection Repositorio Universidad Tecnológica Indoamérica
dc.creator.none.fl_str_mv Calle-Sarmiento, L.
Bermeo-Moyano, J.
Castillo-Velazquez, Jose-Ignacio
Vayas, Germania
dc.date.none.fl_str_mv 2022-12-04T02:02:19Z
2022-12-04T02:02:19Z
2022
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/document/9935754
https://hdl.handle.net/20.500.14809/3945
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 Quito. 11 October 2022 through 14 October 2022
dc.rights.none.fl_str_mv closedAccess
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Tecnológica Indoamérica
instname:Universidad Tecnológica Indoamérica
instacron:UTI
dc.title.none.fl_str_mv Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The optimization of infrastructure maintenance costs in Automated Teller Machine networks of financial institutions is a huge problem faced through business intelligence as artificial intelligence for decision-making. This paper addresses the issue to optimize costs through the application of systems with artificial intelligence. So, neural networks were applied to predict ATM failures based on the historical information of specified errors, number and amounts of transactions. Then forecasting was used to determinate failures, after, the optimal maintenance route that the technical personnel must travel was determined by means of a genetic algorithm. Finally, it was estimated that the reduction of maintenance costs when applying the proposed predictive maintenance methodology is around 200,000 USD for an ATM network of 500 devices of a financial institution in Ecuador.
eu_rights_str_mv openAccess
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instname_str Universidad Tecnológica Indoamérica
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network_name_str Repositorio Universidad Tecnológica Indoamérica
oai_identifier_str oai:repositorio.uti.edu.ec:20.500.14809/3945
publishDate 2022
publisher.none.fl_str_mv 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 Quito. 11 October 2022 through 14 October 2022
reponame_str Repositorio Universidad Tecnológica Indoamérica
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoamérica
repository_id_str 0
rights_invalid_str_mv closedAccess
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spelling Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM NetworkCalle-Sarmiento, L.Bermeo-Moyano, J.Castillo-Velazquez, Jose-IgnacioVayas, GermaniaThe optimization of infrastructure maintenance costs in Automated Teller Machine networks of financial institutions is a huge problem faced through business intelligence as artificial intelligence for decision-making. This paper addresses the issue to optimize costs through the application of systems with artificial intelligence. So, neural networks were applied to predict ATM failures based on the historical information of specified errors, number and amounts of transactions. Then forecasting was used to determinate failures, after, the optimal maintenance route that the technical personnel must travel was determined by means of a genetic algorithm. Finally, it was estimated that the reduction of maintenance costs when applying the proposed predictive maintenance methodology is around 200,000 USD for an ATM network of 500 devices of a financial institution in Ecuador.6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 Quito. 11 October 2022 through 14 October 20222022-12-04T02:02:19Z2022-12-04T02:02:19Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://ieeexplore.ieee.org/document/9935754https://hdl.handle.net/20.500.14809/3945spaclosedAccesshttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Tecnológica Indoaméricainstname:Universidad Tecnológica Indoaméricainstacron:UTI2022-12-04T02:29:13Zoai:repositorio.uti.edu.ec:20.500.14809/3945Institucionalhttps://repositorio.uti.edu.ec/Institución privadahttps://indoamerica.edu.ec/https://repositorio.uti.edu.ec/oai.Ecuador...opendoar:02022-12-04T02:29:13Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoaméricafalse
spellingShingle Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
Calle-Sarmiento, L.
status_str publishedVersion
title Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
title_full Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
title_fullStr Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
title_full_unstemmed Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
title_short Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
title_sort Neural Networks and Genetic Algorithms applied to the Maintenance Process in an ATM Network
url https://ieeexplore.ieee.org/document/9935754
https://hdl.handle.net/20.500.14809/3945