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  • 标题:O uso da estatística em grandes e médias empresas de autopeças no estado de São Paulo, Brasil
  • 本地全文:下载
  • 作者:José Carlos de Toledo ; Fabiane Letícia Lizarelli ; Miguel Ángel Aires Borrás
  • 期刊名称:Revista Innovar Journal Revista de Ciencias Administrativas y Sociales
  • 印刷版ISSN:2248-6968
  • 出版年度:2018
  • 卷号:28
  • 期号:70
  • 页码:81-98
  • DOI:10.15446/innovar.v28n70.74450
  • 语种:Portuguese
  • 出版社:Universidad Nacional de Colombia - Sede Bogotá
  • 摘要:The use of improvement approaches involves analysis and decision-making processes based on data and information analysis. This has a direct association with the use of Statistical Thinking and Statistical Tools. Therefore, this paper studies the use of statistical thinking and statistical tools, as well as the benefits perceived from their usage, in a sample of large and medium-sized companies in the manufacturing sector of spare-parts in São Paulo, Brazil. Companies belonging to this industry adopted improvement approaches long before other industrial sectors. Therefore, a mature environment for the use of concepts and statistical tools is expected from the adoption of such approaches. This empirical research was carried out through a web survey, obtaining a final sample of 32 companies. Quality, production or improvement managers of these companies were asked to answer a questionnaire. Results show that, despite the use of various improvement approaches, the studied companies have not fully incorporated statistical concepts and have difficulties using statistical tools, especially those considered as more complex. Multivariate analysis indicates that companies‘ behavior towards the use of both statistical thinking and tools is not homogeneous, and reveals groups of companies at different maturity levels in the use and perceived benefits.
  • 关键词:beneficios percibidos;herramientas estadísticas;in¬dustria de repuestos;pensamiento estadístico;;benefícios percebidos;ferramentas estatísticas;indústria de autopeças;pensamento estatístico
  • 其他关键词:Perceived benefits;statistical tools;spare-parts industry;sta¬tistical thinking
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