• 제목/요약/키워드: aviation industry

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항공분야 예방안전지표 표준분류체계 수립에 관한 연구 (A Study on the Establishment of Aviation Safety Leading Indicators)

  • 김준환;백현진;이종원;안주현
    • 한국항행학회논문지
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    • 제25권6호
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    • pp.456-465
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    • 2021
  • 항공안전관리를 위해서는 서비스제공자들의 안전성과를 측정하고 관리하기 위한 안전성과지표의 수립이 반드시 선행되어야 한다. 특히, 예방안전지표는 사고 및 준사고의 발생원인을 사전에 식별하고 이를 관리할 수 있게 하는 중요한 역할을 한다는 점에서 그 의미가 크다고 할 수 있다. 하지만 현재 국내 항공산업의 안전성과지표는 이미 발생한 사건에 기반한 후행지표에 초점을 맞추고 있다는 한계를 가지고 있다. 따라서 본 연구는 예측적 항공안전관리를 위한 예방안전지표를 구성하는 것을 목적으로 하였다. 또한, 전문가의 검토와 AHP 분석을 통해 지표의 타당성과 중요성을 검증하였다. 본 연구는 상대적으로 연구가 부족했던 예방안전지표의 개발을 통해 국내 항공산업의 선제적인 안전관리를 지원할 수 있다는 점에서 의의가 있다.

항공산업 미래유망분야 선정을 위한 텍스트 마이닝 기반의 트렌드 분석 (Text Mining-Based Emerging Trend Analysis for the Aviation Industry)

  • 김현정;조남옥;신경식
    • 지능정보연구
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    • 제21권1호
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    • pp.65-82
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    • 2015
  • 최근 경제적 사회적 부가가치를 창출할 수 있는 유망분야를 선정하여 국가 전략 및 정책 수립 시 반영하기 위해 미래 핵심 이슈를 발견하고 트렌드를 분석하는 것에 대한 관심이 급증하고 있다. 기존에는 미래의 핵심 기술이나 이슈를 발견하고 트렌드 분석을 통해 미래유망분야를 선정하는 연구를 위해 문헌 조사 또는 전문가 평가와 같은 정성적 연구방법이 사용되어 왔다. 그러나 이 연구방법은 대량의 정보로부터 결과를 도출하는데 많은 시간과 비용이 소요될 뿐만 아니라 전문가의 주관적인 가치가 반영될 가능성이 존재한다. 이와 같은 한계점을 보완하고자 최근 국토교통, 안전, 정보통신기술 등 다양한 분야에서 미래유망분야를 선정하기 위하여 정성적 연구방법에 텍스트 마이닝과 같은 정량적 연구방법을 상호 보완적으로 활용하는 방식으로 트렌드 분석을 수행하는 연구 방법론의 패러다임 변화가 시도되고 있다. 본 연구는 항공산업 전반적인 분야에 빅데이터 분석 방법인 텍스트 마이닝 기법을 적용하여 항공 분야의 연구동향을 파악하고 미래유망분야를 전망하였다. 텍스트 마이닝 기법 중하나인 토픽 분석을 이용하여 항공산업 전반적인 분야의 문서 집합 내 잠재된 토픽을 추출하고, 연도별로 핵심 토픽의 추이를 분석하였다. 분석 결과 항공산업의 미래유망분야로 항공안전정책, 항공운임(저가항공), 그리고 친환경 고연비 연료가 도출되었다. 본 연구결과는 분석 대상을 논문에 한정하여 수행하였다는 한계점이 존재하나, 항공산업 분야의 핵심 이슈를 도출하기 위하여 텍스트 마이닝 기반의 트렌드 분석에 대한 활용가능성을 제시하고, 미래유망분야를 선정하기 위한 정량적인 분석 방법론의 전형을 마련하였다는 점에서 의의가 있다.

항공안전데이터 및 분석 동향 (Trends of Aircraft Safety Data and Analysis Methods)

  • 김지연;박노삼
    • 전자통신동향분석
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    • 제36권6호
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    • pp.55-66
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    • 2021
  • The air traffic industry, one of Korea's major industries, has recently experienced increased demand from overseas air passengers, launched a low-cost airline, and increased special freight transportation capacity. These initiatives have had a positive impact on air traffic (for example, profitability); however, air traffic management has become more complex, which has increased the incidence of aviation accidents and created safety hazards. There is an increasing need to collect and analyze aviation data that can proactively respond to aviation accidents. Concatenation of collected aviation data as big data and the development of artificial intelligence technology are gradually expanding aviation safety event analysis from conventional statistical analysis to machine learning-based analysis. This paper surveys the trends of flight safety event analysis to derive aviation safety risk factors by looking at the types and characteristics of aviation data that can be used to predict accidents related to safety in aviation operations.

공항운영기업의 브랜드 아이덴티티 구축에 관한 연구;한국공항공사를 중심으로 (A Study on Establelishing Brand Identity of Airport Operator)

  • 김기웅;박상범;오병철;장순자
    • 한국항공운항학회지
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    • 제15권4호
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    • pp.83-93
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    • 2007
  • The aviation industry is expected to grow faster and the role of it is expected to be bigger as time goes by. Airport operating company is a major part of the aviation industry. For an airport operating company to be successful, strong relationship with customers is essential. One of the methods to acquire the customer loyalty is establishing a brand. For KAC, 'Skycity' should be chosen as the main brand. And along with it, harmonious modeling of a of KAC and BI of Skycity should be devised. By doing this, KAC can gain customers' affection and loyalty.

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A Study on Pilots' Behavior on Decision of Maneuvering Aircraft for Fuel Efficient Flight Operation

  • Yoo, Kwang Eui;Jeon, Seung Joon
    • 한국항공운항학회지
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    • 제27권4호
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    • pp.96-104
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    • 2019
  • The response to climate change of international air transport industry might be initiated by ICAO's CORSIA (Carbon Offsetting and Reduction Scheme for International Aviation) which will impact on international airlines' flight operation behavior in the future. Though the airlines' efforts to reduce fuel consumption has been a major issue in economics of aviation industry, the improvement of fuel efficiency in flight operation will have additional impact on their profitability by introducing carbon emission cost. The fuel consumption in flight operation will be somewhat influenced by pilots' technical action for maneuvering aircraft during flight operation. This study will investigate pilots' behavior on decision for tactical aircraft control for mission flight. The data will be collected by the survey through sample pilots asking about their intention and perception on fuel savings during flight operations. The data will be analyzed by AHP process and the study will find out the elements and factors influencing pilots' behavior on technical decision of flight and their weights on fuel saving effects.

COVID-19로 인한 항공 산업의 위기를 극복하기 위한 항공업계의 대응 방안 (Aviation Operators' Response Plan to Overcome the Crisis in the Aviation Industry Caused by COVID-19)

  • 임인규
    • 항공우주의학회지
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    • 제30권3호
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    • pp.91-94
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    • 2020
  • The coronavirus infectious disease-19 (COVID-19) pandemic has had a profound impact on the aviation industry. In order to overcome this crisis, airlines have made their efforts in various fields. Therefore, we tried to summarize these efforts of airlines. It is also essential to keep aircraft that have been in landing for a long time in optimal condition. In this paper, we tried to find out about efforts to maintain landing aircraft and maintenance of personnel. Through such constant care, airlines will be able to quickly respond to increasing aviation demand when the infectious disease situation is stabilized in the future. Finally, airlines and passengers must make several efforts to ensure that passengers are free from COVID-19 while traveling by air. These include general precautions to prevent infection, separation of airline personnel and passengers, changes in seat assignments and in-flight services, periodic aircraft disinfection, and prevention of in-flight infections.

부품등제작자증명(PMA) 제도에 관한 연구 (A Study on the Parts Manufacturer Approval(PMA) for Parts Certification)

  • 정봉구
    • 항공우주시스템공학회지
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    • 제6권3호
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    • pp.29-33
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    • 2012
  • Until now, The Market of aviation parts had led by OEM(Original Equipment Manufacturer) parts because of aviation industry's nature required higher reliability and safety. But recently, The interest about PMA parts in aviation market is increasing continuously with various environmental changes, such as economic stagnation, oil price rise, development of the manufacture technique and newly rising market of Asia-Pacific region. So, this paper introduces the trend and the requirements of FAA PMA / EASA EPA in order to enhance understanding for certification for aviation parts.

항공운송산업의 전략적 제휴와 생산성에 대한 연구 (Strategic Alliances and Productivity in Air Transport Industry)

  • 여규헌;이영수
    • 한국항공운항학회지
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    • 제15권4호
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    • pp.131-141
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    • 2007
  • This paper identifies the productivity in the Global Air Transport Industry for the period of 1995-2001 by testing the Total Factor Productivity with tonqvist method. Based on panel data from 20 major international airline corporations which formed global strategic alliances, we find alliances make a considerably significant contribution to productivity increases. We also find that total factor productivity rate changed surprisingly in Air Transport Industry between pre- and post-Asian financial crisis period.

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잠재 디리클레 할당(LDA)을 이용한 항공안전 의무보고 토픽 예측 모형 (Aviation Safety Mandatory Report Topic Prediction Model using Latent Dirichlet Allocation (LDA))

  • 김준환;백현진;전성진;최영재
    • 한국항공운항학회지
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    • 제31권3호
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    • pp.42-49
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    • 2023
  • Not only in aviation industry but also in other industries, safety data plays a key role to improve the level of safety performance. By analyzing safety data such as aviation safety report (text data), hazard can be identified and removed before it leads to a tragic accident. However, pre-processing of raw data (or natural language data) collected from each site should be carried out first to utilize proactive or predictive safety management system. As air traffic volume increases, the amount of data accumulated is also on the rise. Accordingly, there are clear limitation in analyzing data directly by manpower. In this paper, a topic prediction model for aviation safety mandatory report is proposed. In addition, the prediction accuracy of the proposed model was also verified using actual aviation safety mandatory report data. This research model is meaningful in that it not only effectively supports the current aviation safety mandatory report analysis work, but also can be applied to various data produced in the aviation safety field in the future.

위험관리 개념에 근거한 항공보안업무 합리화 방안 연구 (A Study on Airport Security Performance Improvement based on Risk Management Concept)

  • 황경철;유광의
    • 한국항공운항학회지
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    • 제20권2호
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    • pp.47-57
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    • 2012
  • The strengthened aviation security measurements caused by increased terror threat all around the world have air passengers annoyed by uneasy treatment and some delayed process. The service level of air travel and competitiveness of airlines industry has been weakened also. The aviation security process is mainly conducted at an airport. The threat level of airport is not usually same airport to airport, and the quality of aviation security activity is neither same. However, ICAO requires every international airport to conduct similar process to ensure aviation security without considering situational difference of each airport. The paper has objectives to develop reasonable security measurements based on risk management concept. It studied the ways of achieving target level of security of an airport, considering the threat situation of the airport and its ability to conduct security procedures.