SPC-based model for evaluation of training processes in industrial context

Detalhes bibliográficos
Autor(a) principal: Jesus, Cristiano
Data de Publicação: 2022
Outros Autores: Marcorin, Adilson, Lima, Rui M., Sousa, Rui M., Souza, Ingrid Teixeira, Oliveira, Eliana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/84759
Resumo: Purpose: This article aims to present successful practices in the management of training processes based on virtual reality and augmented reality, namely a strategy for evaluating the process with the principle of continuous improvement in mind, and monitoring its performance in terms of productivity and waste levels. It is proposed to apply Statistical Process Control (SPC) tools to develop control charts for monitoring individual events (i-charts). Design/methodology/approach: The methodology is based on a case study developed in an industrial project and is guided by a literature review on Work-Based Learning (WBL) and SPC.Findings: The developed work shows that SPC tools are suitable for supporting decision making in situations where the data to be analyzed is generated by human-computer interactions, e.g., involving students and virtual learning environments. Originality/value: The innovative aspect presented in the article lies in the evaluation of the effectiveness of pedagogical resources arranged in simulation environments based on virtual and augmented reality. The accumulated knowledge about the application of SPC in service areas, and others that demand data analysis, reinforces the hypothesis of the suitability of its application in the case presented. This is an original application of SPC, normally used in business processes quality control, but which in this case is applied in an innovative way to the evaluation of industrial training processes, with the same spirit for which it was designed, i.e. to provide the means to manage the quality of a process.
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spelling SPC-based model for evaluation of training processes in industrial contextIndustrial training evaluationSPC (statistical process control)Work-based learningEngineering process controlwork-based learning; engineering process controlScience & TechnologyPurpose: This article aims to present successful practices in the management of training processes based on virtual reality and augmented reality, namely a strategy for evaluating the process with the principle of continuous improvement in mind, and monitoring its performance in terms of productivity and waste levels. It is proposed to apply Statistical Process Control (SPC) tools to develop control charts for monitoring individual events (i-charts). Design/methodology/approach: The methodology is based on a case study developed in an industrial project and is guided by a literature review on Work-Based Learning (WBL) and SPC.Findings: The developed work shows that SPC tools are suitable for supporting decision making in situations where the data to be analyzed is generated by human-computer interactions, e.g., involving students and virtual learning environments. Originality/value: The innovative aspect presented in the article lies in the evaluation of the effectiveness of pedagogical resources arranged in simulation environments based on virtual and augmented reality. The accumulated knowledge about the application of SPC in service areas, and others that demand data analysis, reinforces the hypothesis of the suitability of its application in the case presented. This is an original application of SPC, normally used in business processes quality control, but which in this case is applied in an innovative way to the evaluation of industrial training processes, with the same spirit for which it was designed, i.e. to provide the means to manage the quality of a process.- This work is supported by European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project no 39479; Funding Reference: POCI-01-0247-FEDER-39479]. C.J. is supported by operation NORTE-06-3559-FSE-000226, funded by Norte Portugal Regional Operational Program (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Social Fund (ESF).OmniaScienceUniversidade do MinhoJesus, CristianoMarcorin, AdilsonLima, Rui M.Sousa, Rui M.Souza, Ingrid TeixeiraOliveira, Eliana2022-01-012022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/84759eng2013-842310.3926/jiem.3617info: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:RCAAP2023-07-21T12:27:56Zoai:repositorium.sdum.uminho.pt:1822/84759Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:22:38.770511Repositório 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 SPC-based model for evaluation of training processes in industrial context
title SPC-based model for evaluation of training processes in industrial context
spellingShingle SPC-based model for evaluation of training processes in industrial context
Jesus, Cristiano
Industrial training evaluation
SPC (statistical process control)
Work-based learning
Engineering process control
work-based learning; engineering process control
Science & Technology
title_short SPC-based model for evaluation of training processes in industrial context
title_full SPC-based model for evaluation of training processes in industrial context
title_fullStr SPC-based model for evaluation of training processes in industrial context
title_full_unstemmed SPC-based model for evaluation of training processes in industrial context
title_sort SPC-based model for evaluation of training processes in industrial context
author Jesus, Cristiano
author_facet Jesus, Cristiano
Marcorin, Adilson
Lima, Rui M.
Sousa, Rui M.
Souza, Ingrid Teixeira
Oliveira, Eliana
author_role author
author2 Marcorin, Adilson
Lima, Rui M.
Sousa, Rui M.
Souza, Ingrid Teixeira
Oliveira, Eliana
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Jesus, Cristiano
Marcorin, Adilson
Lima, Rui M.
Sousa, Rui M.
Souza, Ingrid Teixeira
Oliveira, Eliana
dc.subject.por.fl_str_mv Industrial training evaluation
SPC (statistical process control)
Work-based learning
Engineering process control
work-based learning; engineering process control
Science & Technology
topic Industrial training evaluation
SPC (statistical process control)
Work-based learning
Engineering process control
work-based learning; engineering process control
Science & Technology
description Purpose: This article aims to present successful practices in the management of training processes based on virtual reality and augmented reality, namely a strategy for evaluating the process with the principle of continuous improvement in mind, and monitoring its performance in terms of productivity and waste levels. It is proposed to apply Statistical Process Control (SPC) tools to develop control charts for monitoring individual events (i-charts). Design/methodology/approach: The methodology is based on a case study developed in an industrial project and is guided by a literature review on Work-Based Learning (WBL) and SPC.Findings: The developed work shows that SPC tools are suitable for supporting decision making in situations where the data to be analyzed is generated by human-computer interactions, e.g., involving students and virtual learning environments. Originality/value: The innovative aspect presented in the article lies in the evaluation of the effectiveness of pedagogical resources arranged in simulation environments based on virtual and augmented reality. The accumulated knowledge about the application of SPC in service areas, and others that demand data analysis, reinforces the hypothesis of the suitability of its application in the case presented. This is an original application of SPC, normally used in business processes quality control, but which in this case is applied in an innovative way to the evaluation of industrial training processes, with the same spirit for which it was designed, i.e. to provide the means to manage the quality of a process.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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 https://hdl.handle.net/1822/84759
url https://hdl.handle.net/1822/84759
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013-8423
10.3926/jiem.3617
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 OmniaScience
publisher.none.fl_str_mv OmniaScience
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str 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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