A New Methodology for Accident Analysis with Human and System Interaction Based on FRAM: Case Studies in Maritime Domain

In the maritime domain, a crew network is characterized by complex collaborative interactions for distributed decision making and rapid transactions of correct information to ensure maritime safety within a limited area and with limited resources. The interaction within the crew network determines the system performance, and the loss of interaction leads to maritime accidents with significant human, economic, and environmental losses. The interactions that occur within the collaborative crew network need to be reflected for system safety. Among systematic safety analysis methods, the safety-II-based functional resonance analysis method (FRAM) is very effective at evaluating the interaction of system functions under normal conditions. The authors propose a new methodology for accident analysis with human-system interaction (HSI) based on FRAM. To improve the resolution of interaction with crew network level, the authors defined the relationship between the system function analyzed by FRAM and the crew network as the link type between the function node and the crew node. HSI is analyzed descriptively using the defined HSI link type and graphically expressed. Through semi-quantification of the analysis, the authors tried to quantify the effect of HSI variability. As a result, this methodology enables to analyze the HSI variability that arises from the relationship between system and human, and to suggest critical part at the HSI level to support the discussion of strategy to manage variability. Two case studies were conducted to illuminate the importance of HSI analysis in the maritime domain.

• Record URL:
  https://doi.org/10.1016/j.ssci.2018.05.011
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0925753517315643
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Lee, Joohee
  • Chung, Hyun
• Publication Date: 2018-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 57-66
• Serial:
  • Safety Science
  • Volume: 109
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0925-7535
  • Serial URL: http://www.sciencedirect.com/science/journal/09257535

Subject/Index Terms

• TRT Terms: Crash analysis; Crash reconstruction; Human error; Human factors in crashes; Marine safety; Ship crews; Water transportation crashes
• Subject Areas: Data and Information Technology; Marine Transportation; Safety and Human Factors;

Filing Info

• Accession Number: 01677430
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 6 2018 12:14PM