Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study

Despite the rise of automation, hand-intensive production systems are still in use due to the need for flexibility and accuracy in completing certain tasks. The impact of learning and fatigue on manual task productivity arouses growing interest. The focus of this study is on a flowshop scheduling pr...

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Tipo de recurso:
Fecha de publicación:
2024
Institución:
Universidad de la Sabana
Repositorio:
Repositorio Universidad de la Sabana
Idioma:
eng
OAI Identifier:
oai:intellectum.unisabana.edu.co:10818/61711
Acceso en línea:
https://hdl.handle.net/10818/61711
Palabra clave:
Programación
Flujo de datos
Learning effect
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License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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network_acronym_str REPOUSABAN
network_name_str Repositorio Universidad de la Sabana
repository_id_str
spelling Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case studyProgramaciónFlujo de datosLearning effectDespite the rise of automation, hand-intensive production systems are still in use due to the need for flexibility and accuracy in completing certain tasks. The impact of learning and fatigue on manual task productivity arouses growing interest. The focus of this study is on a flowshop scheduling problem (FSSP) that considers the effects of learning and fatigue. Firstly, a literature review was conducted on the scheduling problem with learning and deterioration effect. After that, a theoretical approach was used to address the problem of FSSP with learning effect. Mathematical models that minimize the makespan were presented.Doctor en Logística y Gestión de Cadenas de SuministrosDoctoradoUniversidad de La SabanaDoctorado en Logística y Gestión de Cadenas de SuministrosFacultad de Ingeniería2024-09-25T15:58:21Z2024-09-25T15:58:21Z2024-06-04Tesis/Trabajo de grado - Doctoradohttp://purl.org/coar/resource_type/c_db06http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/doctoralThesishttp://purl.org/redcol/resource_type/TD170 páginasapplication/pdfapplication/pdfhttps://hdl.handle.net/10818/61711engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_16ecParedes Astudillo, Yenny Alexandraoai:intellectum.unisabana.edu.co:10818/617112026-02-18T14:31:58Z
dc.title.none.fl_str_mv Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
title Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
spellingShingle Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
Programación
Flujo de datos
Learning effect
title_short Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
title_full Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
title_fullStr Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
title_full_unstemmed Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
title_sort Flowshop scheduling problem including learning and fatigue effects: theoretical contributions and case study
dc.subject.none.fl_str_mv Programación
Flujo de datos
Learning effect
topic Programación
Flujo de datos
Learning effect
description Despite the rise of automation, hand-intensive production systems are still in use due to the need for flexibility and accuracy in completing certain tasks. The impact of learning and fatigue on manual task productivity arouses growing interest. The focus of this study is on a flowshop scheduling problem (FSSP) that considers the effects of learning and fatigue. Firstly, a literature review was conducted on the scheduling problem with learning and deterioration effect. After that, a theoretical approach was used to address the problem of FSSP with learning effect. Mathematical models that minimize the makespan were presented.
publishDate 2024
dc.date.none.fl_str_mv 2024-09-25T15:58:21Z
2024-09-25T15:58:21Z
2024-06-04
dc.type.none.fl_str_mv Tesis/Trabajo de grado - Doctorado
http://purl.org/coar/resource_type/c_db06
http://purl.org/coar/version/c_970fb48d4fbd8a85
info:eu-repo/semantics/doctoralThesis
http://purl.org/redcol/resource_type/TD
dc.identifier.none.fl_str_mv https://hdl.handle.net/10818/61711
url https://hdl.handle.net/10818/61711
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_16ec
dc.format.none.fl_str_mv 170 páginas
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad de La Sabana
Doctorado en Logística y Gestión de Cadenas de Suministros
Facultad de Ingeniería
publisher.none.fl_str_mv Universidad de La Sabana
Doctorado en Logística y Gestión de Cadenas de Suministros
Facultad de Ingeniería
institution Universidad de la Sabana
repository.name.fl_str_mv
repository.mail.fl_str_mv
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