Vol. 14 No. 12 (2022): Advances in Urban Resilience and Sustainable City Design-1412
Articles

Hazard Identification and Characterization in Vehicles: A Comprehensive FMEA-Based Approach for Error Identification and Mitigation

Lim Wei Xiang
Department of Engineering, Universiti Tenaga Nasional, Putrajaya Campus, Putrajaya, Malaysia
Afzal Ahmed
Department: Department of Urban and Infrastructure Engineering University: NED university of Engineering and Technology

Published 2022-12-17

Keywords

  • Failure Mode Effective Analysis (FMEA),
  • Vehicle Hazard Characterization,
  • Safety Goals,
  • Risk Assessment,
  • Occurrence of Failures,
  • Detection and Mitigation of Failures
  • ...More
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How to Cite

Xiang, L. W., & Ahmed, A. (2022). Hazard Identification and Characterization in Vehicles: A Comprehensive FMEA-Based Approach for Error Identification and Mitigation. Advances in Urban Resilience and Sustainable City Design, 14(12), 1–12. Retrieved from http://orientreview.com/index.php/aurscd-journal/article/view/13

Abstract

Ensuring the safety and reliability of vehicles is paramount in the automotive industry. This research presents a systematic approach for hazard characterization in vehicles, employing the Failure Mode and Effects Analysis (FMEA) methodology. The goal is to identify potential failure modes, assess their effects, and propose effective mitigation strategies, thus enhancing vehicle safety and performance. A cross-functional team of experts from various domains, including engineering, design, manufacturing, and safety, collaborates to define the scope of analysis and pinpoint specific vehicle components, subsystems, or systems for evaluation. Through brainstorming sessions, potential failure modes are identified, encompassing a wide range of scenarios that could lead to safety hazards. Each failure mode is rigorously assessed for its potential consequences, assigning severity ratings to gauge the gravity of their impacts. Occurrence ratings are assigned to estimate the likelihood of each failure mode, while detection ratings assess the ease of detecting these modes before they become hazardous. These ratings enable the calculation of the Risk Priority Number (RPN) for each failure mode, helping prioritize them based on their risk levels. High-priority failure modes undergo a thorough analysis of their root causes and mechanisms, paving the way for the development of effective mitigation strategies. These strategies may involve design modifications, process enhancements, or the implementation of additional safety features. The proposed methodology not only facilitates the identification and mitigation of potential hazards but also establishes a framework for continuous monitoring and improvement. Regular reviews and updates ensure that the hazard characterization remains aligned with evolving vehicle designs and emerging safety concerns. This research offers a robust FMEA-based approach for hazard characterization in vehicles, providing automotive engineers and safety experts with a systematic framework to enhance vehicle safety and reliability while reducing the likelihood of errors and their adverse effects.