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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Statistical thinking and its impact on operational performance in manufacturing companies: an empirical study

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Autor(es):
Lizarelli, Fabiane Leticia [1] ; Antony, Jiju [2] ; Toledo, Jose Carlos [1]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Fed Sao Carlos, Dept Prod Engn, BR-13565905 Sao Carlos - Brazil
[2] Heriot Watt Univ, Dept Business Management, Edinburgh EH14 4AS, Midlothian - Scotland
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: ANNALS OF OPERATIONS RESEARCH; v. 295, n. 2, p. 923-950, DEC 2020.
Citações Web of Science: 0
Resumo

Statistical thinking (ST) is a concept that has been discussed in the literature as principles and concepts disseminated in companies to conduct a statistical approach and it is often associated with using continuous improvement programs (CIPs), such as Six Sigma and Lean Six Sigma since the 1990s. There is a lack of empirical studies in the literature that address this topic concerning the impacts generated by ST in operational performance (OP) of industrial companies, as well as the relationships between ST and CIPs. The paper proposes and tests the hypothesis that the use of ST principles is positively associated with OP in manufacturing companies in the context of CIPs. The empirical research was conducted in a sample of 243 manufacturing companies and used structural equation modelling-partial least squares for data analysis. Positive and statistically significant relationships between ST and OP were observed. ST principles can reduce non-conformities, lower production costs and increase the stability of the process. The findings also support that CIPs have a positive effect on the use of ST principles and a positive effect on OP. This indicates the managerial importance of implementing CIPs, including Six Sigma, Lean Six Sigma, lean and total quality management, and the emphasis on developing mechanisms that operationalize the understanding and practice of the ST principles and statistical techniques for better OP in the manufacturing environment. (AU)

Processo FAPESP: 13/12910-1 - Análise das práticas e proposições para melhoria da difusão e uso do pensamento estatístico e de técnicas estatísticas em empresas industriais do Estado de São Paulo
Beneficiário:José Carlos de Toledo
Modalidade de apoio: Auxílio à Pesquisa - Regular