Preliminary cognitive model of a semi-mechanized picking operation
The current paper develops a pioneering approach to the human factors of picking operations, which are addressed from a cognitive perspective. The model is established through a qualitative methodology, which based on several theories, is articulated and applied to the real situation of a dry foods...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/24255
- Acceso en línea:
- https://doi.org/10.1016/j.ifacol.2017.08.2219
https://repository.urosario.edu.co/handle/10336/24255
- Palabra clave:
- Ergonomics
Errors
Human engineering
Cognitive architectures
Cognitive model
Cognitive perspectives
Human errors
Picking operations
Qualitative analysis
Qualitative methodologies
Real situation
Cognitive systems
Cognitive systems
Ergonomics
Human error
Human Factors
Picking Operation
Qualitative analysis
- Rights
- License
- Abierto (Texto Completo)
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8a2344ab-a6f5-4c59-ba7f-6aad4feb52dd-1b489bc5c-a240-4a6a-96be-f3947196f1ea-1194707486002020-05-26T00:10:45Z2020-05-26T00:10:45Z2017The current paper develops a pioneering approach to the human factors of picking operations, which are addressed from a cognitive perspective. The model is established through a qualitative methodology, which based on several theories, is articulated and applied to the real situation of a dry foods company. The results combine the cognitive architecture of the operation and its relations with logistic factors to decrease the amount of human error and thus increase the service level. This model provided evidence for three logistic factors, namely, the picking zone type, the order difficulty level and the experience level; furthermore, from the cognitive perspective, attention and memory. © 2017application/pdfhttps://doi.org/10.1016/j.ifacol.2017.08.221924058963https://repository.urosario.edu.co/handle/10336/24255engElsevier B.V.13963No. 113958IFAC-PapersOnLineVol. 50IFAC-PapersOnLine, ISSN:24058963, Vol.50, No.1 (2017); pp. 13958-13963https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042166822&doi=10.1016%2fj.ifacol.2017.08.2219&partnerID=40&md5=56634050eab343266ef34e31dc0bfbf7Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURErgonomicsErrorsHuman engineeringCognitive architecturesCognitive modelCognitive perspectivesHuman errorsPicking operationsQualitative analysisQualitative methodologiesReal situationCognitive systemsCognitive systemsErgonomicsHuman errorHuman FactorsPicking OperationQualitative analysisPreliminary cognitive model of a semi-mechanized picking operationarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Caro, MarthaQuintana, LeonardoCastillo Martínez, Juan AlbertoORIGINAL1-s2-0-S2405896317328938-main.pdfapplication/pdf1022434https://repository.urosario.edu.co/bitstreams/4d5d7e97-2113-44ab-86f6-f8e00ad52ad1/download2ba9230d2e7e84834e9c347a7c8455d8MD51TEXT1-s2-0-S2405896317328938-main.pdf.txt1-s2-0-S2405896317328938-main.pdf.txtExtracted texttext/plain91136https://repository.urosario.edu.co/bitstreams/c66304e0-0305-4184-a9fa-5a71ed8cb19e/download108c29f658e4058bb312b20d6d63219eMD52THUMBNAIL1-s2-0-S2405896317328938-main.pdf.jpg1-s2-0-S2405896317328938-main.pdf.jpgGenerated Thumbnailimage/jpeg5214https://repository.urosario.edu.co/bitstreams/ff495e39-1670-4a93-8415-8e0d5f567274/downloadbdd4277957e178d9e92dc4211edf4d44MD5310336/24255oai:repository.urosario.edu.co:10336/242552022-05-02 07:37:21.650472https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Preliminary cognitive model of a semi-mechanized picking operation |
title |
Preliminary cognitive model of a semi-mechanized picking operation |
spellingShingle |
Preliminary cognitive model of a semi-mechanized picking operation Ergonomics Errors Human engineering Cognitive architectures Cognitive model Cognitive perspectives Human errors Picking operations Qualitative analysis Qualitative methodologies Real situation Cognitive systems Cognitive systems Ergonomics Human error Human Factors Picking Operation Qualitative analysis |
title_short |
Preliminary cognitive model of a semi-mechanized picking operation |
title_full |
Preliminary cognitive model of a semi-mechanized picking operation |
title_fullStr |
Preliminary cognitive model of a semi-mechanized picking operation |
title_full_unstemmed |
Preliminary cognitive model of a semi-mechanized picking operation |
title_sort |
Preliminary cognitive model of a semi-mechanized picking operation |
dc.subject.keyword.spa.fl_str_mv |
Ergonomics Errors Human engineering Cognitive architectures Cognitive model Cognitive perspectives Human errors Picking operations Qualitative analysis Qualitative methodologies Real situation Cognitive systems Cognitive systems Ergonomics Human error Human Factors Picking Operation Qualitative analysis |
topic |
Ergonomics Errors Human engineering Cognitive architectures Cognitive model Cognitive perspectives Human errors Picking operations Qualitative analysis Qualitative methodologies Real situation Cognitive systems Cognitive systems Ergonomics Human error Human Factors Picking Operation Qualitative analysis |
description |
The current paper develops a pioneering approach to the human factors of picking operations, which are addressed from a cognitive perspective. The model is established through a qualitative methodology, which based on several theories, is articulated and applied to the real situation of a dry foods company. The results combine the cognitive architecture of the operation and its relations with logistic factors to decrease the amount of human error and thus increase the service level. This model provided evidence for three logistic factors, namely, the picking zone type, the order difficulty level and the experience level; furthermore, from the cognitive perspective, attention and memory. © 2017 |
publishDate |
2017 |
dc.date.created.spa.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:10:45Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:10:45Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.ifacol.2017.08.2219 |
dc.identifier.issn.none.fl_str_mv |
24058963 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/24255 |
url |
https://doi.org/10.1016/j.ifacol.2017.08.2219 https://repository.urosario.edu.co/handle/10336/24255 |
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24058963 |
dc.language.iso.spa.fl_str_mv |
eng |
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eng |
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13963 |
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No. 1 |
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13958 |
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IFAC-PapersOnLine |
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Vol. 50 |
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IFAC-PapersOnLine, ISSN:24058963, Vol.50, No.1 (2017); pp. 13958-13963 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042166822&doi=10.1016%2fj.ifacol.2017.08.2219&partnerID=40&md5=56634050eab343266ef34e31dc0bfbf7 |
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http://purl.org/coar/access_right/c_abf2 |
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Abierto (Texto Completo) |
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application/pdf |
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Elsevier B.V. |
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Universidad del Rosario |
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reponame:Repositorio Institucional EdocUR |
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