Error Mitigation for human factors in mechanical engineering

  • Unique Paper ID: 200817
  • Volume: 12
  • Issue: 12
  • PageNo: 2554-2562
  • Abstract:
  • Human error during maintenance activities is a major factor affecting the safety, reliability, and performance of mechanical systems. This study reviews existing research on human factors contributing to maintenance-related errors and examines effective mitigation techniques. The analysis identifies fatigue, inadequate training, poor communication, time pressure, and unclear procedures as the most common causes of human error. These factors lead to mistakes such as incorrect assembly, skipped inspections, and improper adjustments. Human errors are further classified into skill-based, rule-based, and knowledge-based errors, along with violations and communication errors to provide a structured understanding of maintenance-related failures. The study also evaluates various error mitigation techniques including engineering controls, administrative controls, training and skill development, automation and digital systems, and ergonomic design improvements. These approaches aim to reduce dependence on human judgment, improve working conditions, and enhance maintenance accuracy. The findings indicate that implementing integrated mitigation strategies significantly reduces maintenance errors and improves system reliability and safety. The study provides a comprehensive overview of human error in mechanical maintenance and highlights the importance of incorporating human factors into maintenance practices.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{200817,
        author = {Shalaka Bansode and Prof Avinash Somatkar and Meghraj Bankar},
        title = {Error Mitigation for human factors in mechanical engineering},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2554-2562},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200817},
        abstract = {Human error during maintenance activities is a major factor affecting the safety, reliability, and performance of mechanical systems. This study reviews existing research on human factors contributing to maintenance-related errors and examines effective mitigation techniques. The analysis identifies fatigue, inadequate training, poor communication, time pressure, and unclear procedures as the most common causes of human error. These factors lead to mistakes such as incorrect assembly, skipped inspections, and improper adjustments. Human errors are further classified into skill-based, rule-based, and knowledge-based errors, along with violations and communication errors to provide a structured understanding of maintenance-related failures. The study also evaluates various error mitigation techniques including engineering controls, administrative controls, training and skill development, automation and digital systems, and ergonomic design improvements. These approaches aim to reduce dependence on human judgment, improve working conditions, and enhance maintenance accuracy. The findings indicate that implementing integrated mitigation strategies significantly reduces maintenance errors and improves system reliability and safety. The study provides a comprehensive overview of human error in mechanical maintenance and highlights the importance of incorporating human factors into maintenance practices.},
        keywords = {Human error, Mechanical maintenance, Human factors, Error mitigation, Reliability, Maintenance safety, Ergonomics, Human reliability analysis},
        month = {May},
        }

Cite This Article

Bansode, S., & Somatkar, P. A., & Bankar, M. (2026). Error Mitigation for human factors in mechanical engineering. International Journal of Innovative Research in Technology (IJIRT), 12(12), 2554–2562.

Related Articles