EconPapers    
Economics at your fingertips  
 

Statistical thinking and techniques: use and benefits in manufacturing companies

José Carlos De Toledo, Fabiane Letícia Lizarelli, Miguel Angel Aires Borrás and Manoel Fernando Martins

International Journal of Productivity and Quality Management, 2021, vol. 33, issue 4, 471-492

Abstract: Statistical thinking (STk) and statistical techniques (STe) are closely related to improvement programs, but its routine application faces limitations and the reasons for this fact are poorly studied in the academic and managerial fields. This paper analyses the association between STk, STe and the benefits by this use with the characteristics of the companies and improvement programs. A web survey was conducted and a sample of 243 medium and large Brazilian manufacturing companies was obtained. The results show that there are groups of companies with different levels of use of STk and STe and perceived benefits and the differences are mainly associated with the importance of quality for the competitive strategy, the existence of formal actions for the dissemination and application of STk and STe and improvement programs use. The findings allow companies to direct efforts towards the use of STk and STe and generate greater benefits with improvement application.

Keywords: statistical thinking; statistical techniques; survey; improvement programs; manufacturing companies; quality; statistical; productivity; use of statistical approach; benefits. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=117254 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:33:y:2021:i:4:p:471-492

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijpqma:v:33:y:2021:i:4:p:471-492