Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM2020_FULL_0001_37251

INDUSTRY 4.0 MATURITY MODELS: REVIEW AND CLASSIFICATION AS A SUPPORT FOR INDUSTRY 4.0 IMPLEMENTATION


ÁREA: 01. Operations and Process Management

RESUMO:
Industry 4.0 is considered an important current trend and many companies are aware of its concept and the thrust that this technology can provide for the company's business model. However, many companies still do not know the starting point to implement this technology. In this sense, the analysis of maturity models in this topic can support industries in providing an Industry 4.0 roadmap implementation. This paper aims to identify and discuss Industry 4.0 maturity models (I4MM) available on literature, based on the dimensions of these models, as well the maturity level they can measure. This paper also identify weaknesses and other issues of those approaches, and based on this result derive recommendations for a better, more suitable and comprehensive Industry 4.0 maturity model. To achieve the aims of the research, we have followed the systematic literature review methodology. The I4MM characteristics were grouped in some parameters such as: dimensions, classification levels, whether developed by scientific method or consulting. The results demonstrate that the research on the theme is in the beginning of development, the I4MM developed in partnership with universities and consultancies are more robust because their dimensions cover a greater range of aspects when compared to academic-based I4MM and there is no common method in the field in terms of scope, dimen-sions, measurements and indicators.

PALAVRAS-CHAVE:
industry 4.0, maturity models, literature review.



DOI: 10.14488/ijcieom2020_full_0001_37251
AUTORES:

OLGA MARIA FORMIGONI CARVALHO WALTER
FEDERAL UNIVERSITY OF SANTA CATARINA

EDSON PACHECO PALADINI
FEDERAL UNIVERSITY OF SANTA CATARINA

ELISA HENNING
SANTA CATARINA STATE UNIVERSITY

ANDREA CRISTINA KONRATH
FEDERAL UNIVERSITY OF SANTA CATARINA






ISSN ENEGEP: 23183349 / ISSN ICIEOM: 23178000


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