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Organizational risk dynamics archetypes for unmanned aerial system maintenance and human error shaping factors

  • Yi Lu*
  • , Huayan Huangfu
  • , Shuguang Zhang
  • , Shan Fu
  • *Corresponding author for this work
  • Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As revealed by the mishap causal factor statistics, human errors pose more threats to the safe operation of Unmanned Aerial System (UAS). Moreover, the number of human error induced maintenance accident has risen to a comparable level as the accidents due to flight crew error, but little prior research on the causality analysis can be found, especially consider the organizational context of human performance shaping factors. Based on the System Dynamics approach, this study proposed hierarchical risk archetypes that model the interactions of organizational, human and physical system factors leading to maintenance accident of large UASs. The archetypes help to clarify why technical reliability improvement measures, career training and accident investigation always fail to gain expected safety benefits. As organizational risk assessment tools, more detailed quantitative SD model can be developed based on those archetypes to evaluate potential safety policy and management decisions in the field of large UAS maintenance.

Original languageEnglish
Title of host publicationAdvances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2019 International Conference on Human Error, Reliability, Resilience, and Performance
EditorsRonald L. Boring
PublisherSpringer Verlag
Pages75-87
Number of pages13
ISBN (Print)9783030200367
DOIs
StatePublished - 2020
EventAHFE International Conference on Human Error, Reliability, Resilience, and Performance, 2019 - Washington D.C., United States
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume956
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Human Error, Reliability, Resilience, and Performance, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period24/07/1928/07/19

Keywords

  • Human factors
  • Large UAS maintenance
  • Risk archetype
  • System dynamics model

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