Analysis of the use of statistical thinking and statistical techniques in the chemical industry of the state of São Paulo, Brazil

Authors

  • Miguel Ángel Aires Borrás Universidade Federal de São Carlos (UFSCar), Sorocaba, SP. https://orcid.org/0000-0002-9883-0509
  • Fabiane Letícia Lizarelli Universidade Federal de São Carlos (UFSCar), São Carlos, SP.
  • José Carlos de Toledo Universidade Federal de São Carlos (UFSCar), São Carlos, SP.
  • Manoel Fernando Martins Universidade Federal de São Carlos (UFSCar), São Carlos, SP.

DOI:

https://doi.org/10.14488/1676-1901.v19i2.3234

Keywords:

Statistical Thinking. Statistical Techniques. Application. Effects. Chemical Industry.

Abstract

Approaches to production management and improvement are based on fact-based decision-making aided by Statistical Thinking and Statistical Techniques. The research depicted in this article identifies the degree of implementation of statistical thinking and statistical techniques and evaluates the impact on processes control and improvement and satisfaction with this application in chemical companies located in the State of São Paulo, Brazil. The application of a questionnaire and the realization of in-depth interviews with experts were the research techniques applied in that research. The achieved sample is composed of 30 medium and large size companies. As a main result this study figures out that those companies have a low degree of use of statistical thinking and techniques, demonstrating opportunities to improve process performance with statistical approach whereas companies whose do not apply systematically the statistical thinking and techniques have perceived the necessity of do it to improve their productive performance.

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Author Biographies

Miguel Ángel Aires Borrás, Universidade Federal de São Carlos (UFSCar), Sorocaba, SP.

Departamento de Engenharia de Produção de Sorocaba (DEP-So), Engenharia de Produção.

Fabiane Letícia Lizarelli, Universidade Federal de São Carlos (UFSCar), São Carlos, SP.

Departamento de Engenharia de Produção (DEP), Engenharia de Produção.

José Carlos de Toledo, Universidade Federal de São Carlos (UFSCar), São Carlos, SP.

Departamento de Engenharia de Produção (DEP), Engenharia de Produção.

Manoel Fernando Martins, Universidade Federal de São Carlos (UFSCar), São Carlos, SP.

Departamento de Engenharia de Produção (DEP), Engenharia de Produção.

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Published

2019-06-15

How to Cite

Borrás, M. Ángel A., Lizarelli, F. L., Toledo, J. C. de, & Martins, M. F. (2019). Analysis of the use of statistical thinking and statistical techniques in the chemical industry of the state of São Paulo, Brazil. Revista Produção Online, 19(2), 518–544. https://doi.org/10.14488/1676-1901.v19i2.3234

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Papers