Dissertação
Análise multivariada dos indicadores da indústria de transformação e perspectivas da indústria 4.0 no Brasil
Fecha
2021-03-29Autor
Nunes, Tamires Fernanda Barbosa
Institución
Resumen
Currently the Fourth Industrial Revolution has promoted a complex, uncertain and rapidly
changing technological environment. The concept of Industry 4.0 has spread around the world
as a new innovation strategy oriented to reinvention of manufacturing industry, increasing
global competitiveness by quality, costs and flexible processes. The industrial sector is
responsible for stimulating the economic and competitive development of the country. In Brazil,
even with all the potential to generate wealth, the manufacturing industry has been hampered
by deindustrialization and structural problems that affect its income significantly. Therefore,
the objective of the present study was to analyze the industrial indicators of manufacturing,
made available by the National Confederation of Industry (CNI), in order to understand which
have the greatest influence for the formation of the Gross Domestic Product (GDP) of the sector.
The multivariate techniques Principal Component Analysis and Cluster Analysis were used to
select variables to construct the Multiple Linear Regression model, developed to analyze the
association of industrial indicators with the GDP of the sector. In addition, a Systematic
Literature Review (RSL) was conducted to identify potential impacts and challenges of Industry
4.0 for manufacturing. The results of the multivariate analyses demonstrated that employability
and productivity are the factors with the greatest contribution to the formation of manufacturing
GDP, is consistent with the reality of the sector in which the reduction of the industry's
participation in the generation of employment and the added value corroborate the process of
deindustrialization. From the RSL seven potential impacts of Industry 4.0 on manufacturing
were identified (i) environmental; (ii) competitive; (iii) economic; (iv) education; (v) labor
market; (vi) business models; and (vii) social. And six potential challenges for manufacturing
to embrace digital transformation: (i) management; (ii) government; (iii) implementation; (iv)
manpower; (v) operation; and (vi)security. The results indicate the need to promote competitive
industrial recovery strategies outlined by high technology and innovation, as well as the
development of broad and effective industrial and technological policies. Just as the demand
for knowledge generation and sharing of the concepts and scope of Industry 4.0 have been
evident to shape the future of the manufacturing sector.