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Optimization of Mechanical Systems in Complex Industrial Environments

Josimar Santos Viana

Subject area: Science,Engineering and Technology  ·  Area of research: Sciences

Abstract

The optimization of mechanical systems in complex industrial environments has become a cornerstone of modern engineering and manufacturing strategy. This study examines how predictive maintenance, digital twins, and computational modeling can enhance mechanical performance, reliability, and sustainability in highly integrated industrial operations. Drawing upon contemporary research, it demonstrates that data-driven and simulation-based approaches outperform traditional maintenance and control strategies by improving asset lifespan, reducing energy consumption, and minimizing downtime. Furthermore, it discusses how organizational culture and digital integration contribute to sustained optimization outcomes across multiple sites and disciplines. The findings indicate that mechanical system optimization requires a holistic framework that merges engineering design, analytics, and sustainability principles to achieve operational excellence in complex industrial contexts.

Keywords

Mechanical Systems Optimization; Predictive Maintenance; Digital Twin; Industrial Engineering; Energy Efficiency; Smart Manufacturing; System Reliability; Sustainability.

References

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[11] Pessoa, E. G. (2024). Pavimentos permeáveis uma solução sustentável. Revista Sistemática, 14(3), 594–599. https://doi.org/10.56238/rcsv14n3-012

[12] Pessoa, E. G. (2024). Pavimentos permeáveis uma solução sustentável. Revista Sistemática, 14(3), 594–599. https://doi.org/10.56238/rcsv14n3-012

[13] Eliomar Gotardi Pessoa, & Coautora: Glaucia Brandão Freitas. (2022). ANÁLISE DE CUSTO DE PAVIMENTOS PERMEÁVEIS EM BLOCO DE CONCRETO UTILIZANDO BIM (BUILDING INFORMATION MODELING). Revistaft, 26(111), 86. https://doi.org/10.5281/zenodo.10022486

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[15] Eliomar Gotardi Pessoa, & Coautora: Glaucia Brandão Freitas. (2022). ANÁLISE COMPARATIVA ENTRE RESULTADOS TEÓRICOS DA DEFLEXÃO DE UMA LAJE PLANA COM CARGA DISTRIBUÍDA PELO MÉTODO DE EQUAÇÃO DE DIFERENCIAL DE LAGRANGE POR SÉRIE DE FOURIER DUPLA E MODELAGEM NUMÉRICA PELO SOFTWARE SAP2000. Revistaft, 26(111), 43. https://doi.org/10.5281/zenodo.10019943

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How to cite this paper

Josimar Santos Viana "Optimization of Mechanical Systems in Complex Industrial Environments" Iconic Research And Engineering Journals Volume 6 Issue 6 2022 Page 479-482
Josimar Santos Viana "Optimization of Mechanical Systems in Complex Industrial Environments" Iconic Research And Engineering Journals, vol. 6, no. 6, Dec. 2022
Josimar Santos Viana (2022). Optimization of Mechanical Systems in Complex Industrial Environments. Iconic Research And Engineering Journals, 6(6).
Josimar Santos Viana "Optimization of Mechanical Systems in Complex Industrial Environments" Iconic Research And Engineering Journals, vol. 6, no. 6, Dec. 2022.
@article{1712055,
      author = {Josimar Santos Viana},
      title = {Optimization of Mechanical Systems in Complex Industrial Environments},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {6},
      pages = {479-482},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712055.pdf},
      abstract = {The optimization of mechanical systems in complex industrial environments has become a cornerstone of modern engineering and manufacturing strategy. This study examines how predictive maintenance, digital twins, and computational modeling can enhance mechanical performance, reliability, and sustainability in highly integrated industrial operations. Drawing upon contemporary research, it demonstrates that data-driven and simulation-based approaches outperform traditional maintenance and control strategies by improving asset lifespan, reducing energy consumption, and minimizing downtime. Furthermore, it discusses how organizational culture and digital integration contribute to sustained optimization outcomes across multiple sites and disciplines. The findings indicate that mechanical system optimization requires a holistic framework that merges engineering design, analytics, and sustainability principles to achieve operational excellence in complex industrial contexts.},
      keywords = {Mechanical Systems Optimization; Predictive Maintenance; Digital Twin; Industrial Engineering; Energy Efficiency; Smart Manufacturing; System Reliability; Sustainability.},
      month = {December},
  }