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.
Citations
IRE Journals:
Josimar Santos Viana "Optimization of Mechanical Systems in Complex Industrial Environments" Iconic Research And Engineering Journals Volume 6 Issue 6 2022 Page 479-482
IEEE:
Josimar Santos Viana
"Optimization of Mechanical Systems in Complex Industrial Environments" Iconic Research And Engineering Journals, 6(6)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12