Workers benchmarking using multi-directional efficiency analysis in a manufacturing production system

Detalhes bibliográficos
Autor(a) principal: Rocha, Eugénio M.
Data de Publicação: 2022
Outros Autores: Brochado, Ângela F., Moura, Ana
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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spelling 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
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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
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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