Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts

RGB-D sensors can collect postural data in an automatized way. However, the application of these devices in real work environments requires overcoming problems such as lack of accuracy or body parts' occlusion. This work presents the use of RGB-D sensors and genetic algorithms for the optimizat...

Full description

Autores:
Diego-Mas, Jose Antonio
Poveda-Bautista, Rocío
Garzón Leal, Diana Carolina
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/3509
Acceso en línea:
http://hdl.handle.net/20.500.12495/3509
https://doi.org/10.1016/j.apergo.2017.01.012
https://repositorio.unbosque.edu.co
Palabra clave:
Grupos profesionales
Ergonomía
Lugar de trabajo
RGB-D sensors
Workstation layout
Genetic algorithms
Rights
openAccess
License
Acceso abierto
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network_acronym_str UNBOSQUE2
network_name_str Repositorio U. El Bosque
repository_id_str
dc.title.spa.fl_str_mv Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
dc.title.translated.spa.fl_str_mv Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
title Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
spellingShingle Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
Grupos profesionales
Ergonomía
Lugar de trabajo
RGB-D sensors
Workstation layout
Genetic algorithms
title_short Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
title_full Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
title_fullStr Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
title_full_unstemmed Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
title_sort Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts
dc.creator.fl_str_mv Diego-Mas, Jose Antonio
Poveda-Bautista, Rocío
Garzón Leal, Diana Carolina
dc.contributor.author.none.fl_str_mv Diego-Mas, Jose Antonio
Poveda-Bautista, Rocío
Garzón Leal, Diana Carolina
dc.contributor.orcid.none.fl_str_mv Garzón Leal, Diana Carolina [0000-0002-9428-423X]
dc.subject.decs.spa.fl_str_mv Grupos profesionales
Ergonomía
Lugar de trabajo
topic Grupos profesionales
Ergonomía
Lugar de trabajo
RGB-D sensors
Workstation layout
Genetic algorithms
dc.subject.keywords.spa.fl_str_mv RGB-D sensors
Workstation layout
Genetic algorithms
description RGB-D sensors can collect postural data in an automatized way. However, the application of these devices in real work environments requires overcoming problems such as lack of accuracy or body parts' occlusion. This work presents the use of RGB-D sensors and genetic algorithms for the optimization of workstation layouts. RGB-D sensors are used to capture workers' movements when they reach objects on workbenches. Collected data are then used to optimize workstation layout by means of genetic algorithms considering multiple ergonomic criteria. Results show that typical drawbacks of using RGB-D sensors for body tracking are not a problem for this application, and that the combination with intelligent algorithms can automatize the layout design process. The procedure described can be used to automatically suggest new layouts when workers or processes of production change, to adapt layouts to specific workers based on their ways to do the tasks, or to obtain layouts simultaneously optimized for several production processes.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-07-15T22:02:06Z
dc.date.available.none.fl_str_mv 2020-07-15T22:02:06Z
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dc.type.local.none.fl_str_mv Artículo de revista
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dc.identifier.issn.none.fl_str_mv 1872-9126
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12495/3509
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.apergo.2017.01.012
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv https://repositorio.unbosque.edu.co
identifier_str_mv 1872-9126
instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
url http://hdl.handle.net/20.500.12495/3509
https://doi.org/10.1016/j.apergo.2017.01.012
https://repositorio.unbosque.edu.co
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.spa.fl_str_mv Applied ergonomics, 1872-9126, Vol. 65, 2017, p. 530-540
dc.relation.uri.none.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S0003687017300200?via%3Dihub
dc.rights.local.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Acceso abierto
dc.rights.creativecommons.none.fl_str_mv 2017-11
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
2017-11
eu_rights_str_mv openAccess
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
dc.publisher.journal.spa.fl_str_mv Applied ergonomics
institution Universidad El Bosque
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spelling Diego-Mas, Jose AntonioPoveda-Bautista, RocíoGarzón Leal, Diana CarolinaGarzón Leal, Diana Carolina [0000-0002-9428-423X]2020-07-15T22:02:06Z2020-07-15T22:02:06Z20171872-9126http://hdl.handle.net/20.500.12495/3509https://doi.org/10.1016/j.apergo.2017.01.012instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquehttps://repositorio.unbosque.edu.coapplication/pdfengElsevierApplied ergonomicsApplied ergonomics, 1872-9126, Vol. 65, 2017, p. 530-540https://www.sciencedirect.com/science/article/abs/pii/S0003687017300200?via%3DihubUsing RGB-D sensors and evolutionary algorithms for the optimization of workstation layoutsUsing RGB-D sensors and evolutionary algorithms for the optimization of workstation layoutsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Grupos profesionalesErgonomíaLugar de trabajoRGB-D sensorsWorkstation layoutGenetic algorithmsRGB-D sensors can collect postural data in an automatized way. However, the application of these devices in real work environments requires overcoming problems such as lack of accuracy or body parts' occlusion. This work presents the use of RGB-D sensors and genetic algorithms for the optimization of workstation layouts. RGB-D sensors are used to capture workers' movements when they reach objects on workbenches. Collected data are then used to optimize workstation layout by means of genetic algorithms considering multiple ergonomic criteria. Results show that typical drawbacks of using RGB-D sensors for body tracking are not a problem for this application, and that the combination with intelligent algorithms can automatize the layout design process. The procedure described can be used to automatically suggest new layouts when workers or processes of production change, to adapt layouts to specific workers based on their ways to do the tasks, or to obtain layouts simultaneously optimized for several production processes.Acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAcceso abierto2017-11ORIGINALJosé Antonio, Diego-Mas Rocío, Poveda-Bautista. Diana Garzón-Leal_2017.pdfJosé Antonio, Diego-Mas Rocío, Poveda-Bautista. Diana Garzón-Leal_2017.pdfapplication/pdf1826917http://18.204.144.38/bitstreams/89cfefd7-3864-4a33-8d50-f705792a6448/download1f22e0a754885db92c9a69b0ac25031cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://18.204.144.38/bitstreams/4f7a8a3b-d420-4c47-9ff5-adb660d4dd26/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILAntonio, Diego-Mas Rocío, Poveda-Bautista. Diana Garzón-Leal_2017.pdf.jpgAntonio, Diego-Mas Rocío, Poveda-Bautista. 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