• Title, Summary, Keyword: 노선안전운항감사

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The Introduction of LOSA characteristics and operation in Asiana (노선안전운항감사(LOSA)특성 및 운영)

  • Choi, Jin-Kook;Jung, Yun-Sik;Kim, Chil-Young
    • 한국항공운항학회:학술대회논문집
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    • pp.58-62
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    • 2005
  • LOSA is spreading rapidly over the world to improve safety of the airlines using threat and error management system. LOSA has shown its success on the major improvement on many areas including the riskiest phase called the blue box, which is the busiest during approach and landing. Asiana Airlines has completed data collection in 2004 and round table for the data cleaning, to implement safety change process. The propose of this paper is to introduce the LOSA, ICAO DOC 9803, and the experience of Asiana.

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A study on the characteristics on the error of the flight crew (운항승무원 실수 특성에 관한 연구 : LOSA를 중심으로)

  • Choi, Jin-Kook;Kim, Chil-Young
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.17 no.2
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    • pp.62-67
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    • 2009
  • LOSA is a flight safety program that analyses human errors in normal operations. Trained pilot observers monitor the normal flights at the observer seat. LOSA is a proactive non jeopardy data collection tool using threat and error management(TEM) as a framework. With the analysis of crew behaviors through LOSA with The LOSA collaborative(TLC), the airlines can identify the behaviors of the crew during normal operations. The major objective of LOSA is to measure how the crew manage threats, errors and undesired aircraft deviations in the cockpit on day to day operations. The airlines are able to set up effective TEM training with practical six generation Crew recourse management(CRM) with data of error from LOSA instead of theoretical CRM courses. The Airlines can use TEM as an integral part of a Safety Management System(SMS) and uses monitoring and cross-checking skills in the flight operations to manage threats and errors effectively when we know the errors we make in the cockpit on daily operation. The result of LOSA indicates that the error detection rate should be enhanced since around the half of the errors went undetected. The areas which should be focused for enhancing the error detection are monitor, cross-check, the management of workload, automation and taxiway/ runway to manage errors effectively.

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