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Cited by 268

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

The degree of readiness for the implementation of Industry 4.0

Pacchini, Athos Paulo Tadeu, Lucato, Wagner Cezar, Facchini, Francesco, Mummolo, Giovanni·2019·Computers in Industry
DOI 10.1016/j.compind.2019.103125
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Abstract

Abstract Industry 4.0 is causing significant changes in industrial sectors mainly in Europe, USA, and some countries in Asia. Industry 4.0 is a set of disruptive digital and physical technologies that offer new values and services to customers and organizations. In this study, we propose a model to measure the degree of readiness of a manufacturing organization with regard to the implementation of Industry 4.0. Some models have been proposed in the past to determine the degree of maturity of a company that measures the progress made by the company in the implementation of Industry 4.0. However, no model has yet been proposed that determines the degree of readiness of a company, which is an earlier step in the maturation process. To develop the proposed model in this study, we employ a structure based on the Society of Automotive Engineers (SAE) J4000 standard for measuring the implementation of lean manufacturing in a company; the model is duly modified to encompass Industry 4.0 principles and concepts. The proposed model comprises eight technology enablers that are the most relevant based on existing literatures. The real-world utilization of the proposed model is tested by an auto-parts manufacturing company in Brazil.

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Cites

Show all 38 references

Research works printed but not linked: 5

  1. Cervone, 2016, Organizational considerations initiating a big data and analytics implementation, Digit. Libr. Perspect., 32, 1
  2. Chun, 2019, A study on research trends of technologies for industry 4.0; 3D printing, artificial intelligence, big data, cloud computing, and internet of things: advanced multimedia and ubiquitous engineering, Lect. Notes Elect. Eng., 518, 403
  3. Coelho, 2016, Towards industry 4.0, master’s thesis
  4. Mosterman, 2015, Vol. 15, 17
  5. Yoo, 2018, An application of automated planning to improve readiness for industry 4.0, IISE Industrial and Systems Engineering Research Conference (ISERC), 19

Cited by

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Metadata

Authors
Pacchini, A. P. T., Lucato, W. C., Facchini, F., & Mummolo, G.
Venue
Computers in Industry
Publisher
Elsevier BV
Published
2019-12
Volume
113
Pages
103125
ISSN
0166-3615 (ISSN-L)
DOI
10.1016/j.compind.2019.103125
OpenAlex
W2976185169
Cited by
268
References
38
FWCI
22.86
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
Conselho Nacional de Desenvolvimento Científico e Tecnológico

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CoChat. (2026). Citation check: The degree of readiness for the implementation of Industry 4.0. https://app.cochat.ai/papers/10.1016/j.compind.2019.103125
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Pacchini, A. P. T., Lucato, W. C., Facchini, F., & Mummolo, G. (2019). The degree of readiness for the implementation of Industry 4.0. Computers in Industry. https://doi.org/10.1016/j.compind.2019.103125

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.