Optimization of Mechanical Systems in Complex Industrial Environments

@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},
  }