Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo

Detalhes bibliográficos
Autor(a) principal: Toledo, Jose Carlos De
Data de Publicação: 2018
Outros Autores: Lizarelli, Fabiane Letícia, Santos, Adriana Barbosa Dos, Ishizaka, Artur
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/0103-6513.20180062
http://hdl.handle.net/11449/183743
Resumo: AbstractPaper aimIdentify the use of statistical thinking and techniques and their main difficulties and benefits in the Brazilian State of São Paulo industries.OriginalityThere are few empirical studies on the application of the statistical thinking and techniques which study their difficulties of implementation and their benefits in manufacturing companies.Research method A web survey of a sample of 243 manufacturing companies.Main findingThe companies, in general, use some statistical principles and basic techniques for process control and improvement, however, companies that use principles and techniques more consistently have greater operational and team benefits. The main difficulties are associated to lack of culture and knowledge.Implications for theory and practiceThe statistical application enables effective processes improvements and it is associated with motivation for further improvements, consolidation of improvement programs and culture of quality. This finding suggests managerial implications such as to plan actions to deploy and disseminate the culture of statistical thinking in an evolutionary way, training and support for use and to overcome barriers.
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spelling Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São PauloStatistical techniquesStatistical approachImprovement programsPerceived benefitsAbstractPaper aimIdentify the use of statistical thinking and techniques and their main difficulties and benefits in the Brazilian State of São Paulo industries.OriginalityThere are few empirical studies on the application of the statistical thinking and techniques which study their difficulties of implementation and their benefits in manufacturing companies.Research method A web survey of a sample of 243 manufacturing companies.Main findingThe companies, in general, use some statistical principles and basic techniques for process control and improvement, however, companies that use principles and techniques more consistently have greater operational and team benefits. The main difficulties are associated to lack of culture and knowledge.Implications for theory and practiceThe statistical application enables effective processes improvements and it is associated with motivation for further improvements, consolidation of improvement programs and culture of quality. This finding suggests managerial implications such as to plan actions to deploy and disseminate the culture of statistical thinking in an evolutionary way, training and support for use and to overcome barriers.Universidade Federal de São CarlosUniversidade Estadual PaulistaUniversidade Estadual PaulistaAssociação Brasileira de Engenharia de ProduçãoUniversidade Federal de São CarlosUniversidade Estadual Paulista (Unesp)Toledo, Jose Carlos DeLizarelli, Fabiane LetíciaSantos, Adriana Barbosa DosIshizaka, Artur2019-10-03T17:31:27Z2019-10-03T17:31:27Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article-application/pdfhttp://dx.doi.org/10.1590/0103-6513.20180062Production. Associação Brasileira de Engenharia de Produção, v. 28, p. -, 2018.0103-6513http://hdl.handle.net/11449/18374310.1590/0103-6513.20180062S0103-65132018000100218S0103-65132018000100218.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProductioninfo:eu-repo/semantics/openAccess2023-12-19T06:22:11Zoai:repositorio.unesp.br:11449/183743Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-19T06:22:11Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
title Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
spellingShingle Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
Toledo, Jose Carlos De
Statistical techniques
Statistical approach
Improvement programs
Perceived benefits
title_short Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
title_full Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
title_fullStr Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
title_full_unstemmed Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
title_sort Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
author Toledo, Jose Carlos De
author_facet Toledo, Jose Carlos De
Lizarelli, Fabiane Letícia
Santos, Adriana Barbosa Dos
Ishizaka, Artur
author_role author
author2 Lizarelli, Fabiane Letícia
Santos, Adriana Barbosa Dos
Ishizaka, Artur
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Carlos
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Toledo, Jose Carlos De
Lizarelli, Fabiane Letícia
Santos, Adriana Barbosa Dos
Ishizaka, Artur
dc.subject.por.fl_str_mv Statistical techniques
Statistical approach
Improvement programs
Perceived benefits
topic Statistical techniques
Statistical approach
Improvement programs
Perceived benefits
description AbstractPaper aimIdentify the use of statistical thinking and techniques and their main difficulties and benefits in the Brazilian State of São Paulo industries.OriginalityThere are few empirical studies on the application of the statistical thinking and techniques which study their difficulties of implementation and their benefits in manufacturing companies.Research method A web survey of a sample of 243 manufacturing companies.Main findingThe companies, in general, use some statistical principles and basic techniques for process control and improvement, however, companies that use principles and techniques more consistently have greater operational and team benefits. The main difficulties are associated to lack of culture and knowledge.Implications for theory and practiceThe statistical application enables effective processes improvements and it is associated with motivation for further improvements, consolidation of improvement programs and culture of quality. This finding suggests managerial implications such as to plan actions to deploy and disseminate the culture of statistical thinking in an evolutionary way, training and support for use and to overcome barriers.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-10-03T17:31:27Z
2019-10-03T17:31:27Z
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://dx.doi.org/10.1590/0103-6513.20180062
Production. Associação Brasileira de Engenharia de Produção, v. 28, p. -, 2018.
0103-6513
http://hdl.handle.net/11449/183743
10.1590/0103-6513.20180062
S0103-65132018000100218
S0103-65132018000100218.pdf
url http://dx.doi.org/10.1590/0103-6513.20180062
http://hdl.handle.net/11449/183743
identifier_str_mv Production. Associação Brasileira de Engenharia de Produção, v. 28, p. -, 2018.
0103-6513
10.1590/0103-6513.20180062
S0103-65132018000100218
S0103-65132018000100218.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Production
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 Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv SciELO
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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