Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/35460 |
Resumo: | The human factor plays a relevant role in all manual or partially automatic production systems, specially, the ones showing reliable and balanced dynamics. In the literature, parametric or survey-based models are quite common for performance evaluation of production workers. In this work, multi-directional efficiency analysis is used instead, for root cause analysis of product reworks and bottlenecks occurrence, according to four worker-related parameters: experience time, wage, delay time and response time. The approach allows to identify individual inefficiencies per tuple worker/working shift and to cluster them according to similar inefficiency parameters. In addition, this work opens a path to new applications of multi-directional efficiency analysis to problems in the manufacturing industry. |
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Workers benchmarking using multi-directional efficiency analysis in a manufacturing production systemMulti-directional efficiency analysisBottleneckWorkers performance clusteringManufacturing production systemThe human factor plays a relevant role in all manual or partially automatic production systems, specially, the ones showing reliable and balanced dynamics. In the literature, parametric or survey-based models are quite common for performance evaluation of production workers. In this work, multi-directional efficiency analysis is used instead, for root cause analysis of product reworks and bottlenecks occurrence, according to four worker-related parameters: experience time, wage, delay time and response time. The approach allows to identify individual inefficiencies per tuple worker/working shift and to cluster them according to similar inefficiency parameters. In addition, this work opens a path to new applications of multi-directional efficiency analysis to problems in the manufacturing industry.Elsevier20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/35460eng1877-050910.1016/j.procs.2022.01.346Rocha, Eugénio M.Brochado, Ângela F.Moura, Anainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:08:08Zoai:ria.ua.pt:10773/35460Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:06:24.672641Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
title |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
spellingShingle |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system Rocha, Eugénio M. Multi-directional efficiency analysis Bottleneck Workers performance clustering Manufacturing production system |
title_short |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
title_full |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
title_fullStr |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
title_full_unstemmed |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
title_sort |
Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system |
author |
Rocha, Eugénio M. |
author_facet |
Rocha, Eugénio M. Brochado, Ângela F. Moura, Ana |
author_role |
author |
author2 |
Brochado, Ângela F. Moura, Ana |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rocha, Eugénio M. Brochado, Ângela F. Moura, Ana |
dc.subject.por.fl_str_mv |
Multi-directional efficiency analysis Bottleneck Workers performance clustering Manufacturing production system |
topic |
Multi-directional efficiency analysis Bottleneck Workers performance clustering Manufacturing production system |
description |
The human factor plays a relevant role in all manual or partially automatic production systems, specially, the ones showing reliable and balanced dynamics. In the literature, parametric or survey-based models are quite common for performance evaluation of production workers. In this work, multi-directional efficiency analysis is used instead, for root cause analysis of product reworks and bottlenecks occurrence, according to four worker-related parameters: experience time, wage, delay time and response time. The approach allows to identify individual inefficiencies per tuple worker/working shift and to cluster them according to similar inefficiency parameters. In addition, this work opens a path to new applications of multi-directional efficiency analysis to problems in the manufacturing industry. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/35460 |
url |
http://hdl.handle.net/10773/35460 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1877-0509 10.1016/j.procs.2022.01.346 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137718968516608 |