Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1799965337272188928 |