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...

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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
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License
Abierto (Texto Completo)
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spelling 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
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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
identifier_str_mv 24058963
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dc.relation.citationIssue.none.fl_str_mv No. 1
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dc.relation.citationTitle.none.fl_str_mv IFAC-PapersOnLine
dc.relation.citationVolume.none.fl_str_mv Vol. 50
dc.relation.ispartof.spa.fl_str_mv IFAC-PapersOnLine, ISSN:24058963, Vol.50, No.1 (2017); pp. 13958-13963
dc.relation.uri.spa.fl_str_mv 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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dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier B.V.
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
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