Análise do uso do pensamento estatístico e de técnicas estatísticas em empresas industriais do Estado de São Paulo

Abstract

In order to reduce variability and improve the performance of production systems, companies seek to apply improvement programs such as Lean Manufacturing (LM), Total Quality Management (TQM), Six Sigma (SS) , Lean Six Sigma (LSS) and TPM (Total Productive Maintenance), among others. According to Makrymichalos et al. (2005) it is necessary to verify the theoretical foundations that underlie these programs in order to be used more efficiently and consequently the companies achieve acceptable results. To that end, these programs at different levels are based on Statistical Thinking (ST) and Statistical Techniques (STech). This dissertation presents the results of a research survey, with 243 industrial companies from the Sao Paulo State, with the objective of analyzing the level of presence of ST and STech in the improvement programs and the perceived results with their use. A group called "Advanced Companies" representing 16.9% of the sample, was identified in the statistical analysis, the companies in this group are the most grounded in the use of ST and STech. In addition, 29.26% of them were able to obtain perceived operational results, 26.82% obtained subjective benefits perceived with the application of ST and STech principles and 17.07% obtained both perceived operational results and subjective benefits with the use of ST and STech. The companies in this group obtained these results mainly due to the use of SS and LSS for more than 5 years. These programs incorporate the ST principles more intensively and use the basic, intermediate and especially advanced STechs.