Proposal for a maintenance management system based on the lean philosophy and industry 4.0

David Mendes et al.

Revista Produção e Desenvolvimento2022https://doi.org/10.32358/rpd.2022.v8.587article
AJG 1
Weight
0.46

What the paper says

Develop a new model that combines the concepts of Maintenance, Lean Philosophy, and Industry 4.0 to improve maintenance management. Methodology/Approach: For the elaboration the following methodology was used: Bibliographic review of the existing models of joint application: Maintenance, Lean Philosophy, and Industry 4.0. Critical analysis of the existing models of joint application of the three concepts. Preparation of the model proposal and analysis of the results. Findings: The model developed is easy to apply, flexible and inexpensive, being a useful tool for both the maintenance and production areas, in any size and industrial area. Research Limitation/implication: One of the limitations is the distance between the devices that make up the system, as it can influence their performance. The implementation of Total Productive Maintenance can present some challenges within companies. Originality/Value of paper: The study presents a new model to improve maintenance management, being unique since the existing models are mostly focused on predictive maintenance. The system also allows the introduction of the monitoring of other important parameters such as vibrations, temperature among others.

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https://doi.org/https://doi.org/10.32358/rpd.2022.v8.587

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@article{david2022,
  title        = {{Proposal for a maintenance management system based on the lean philosophy and industry 4.0}},
  author       = {David Mendes et al.},
  journal      = {Revista Produção e Desenvolvimento},
  year         = {2022},
  doi          = {https://doi.org/https://doi.org/10.32358/rpd.2022.v8.587},
}

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.29 × 0.4 = 0.12
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.