• 한국항공운항학회지
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• 제10권1호
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• pp.57-68
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• 2002

The economical aspects should be evaluated to decide the LCC(Life Cycle Cost) of the long life facilities or equipments. Airplane operators evaluate the economical aspects to decide whether they maintain the existing airplane or substitute the new one. This paper presents economic life cycle and economic life cost for both Cessna 172R and Mooney 20J that are operated for flight training in 'H' University. The residual value that is used to calculate the capital recovery rate of the airplane is calculated based on the data from Blue Book published in USA. The annual equivalent on operation cost is calculated based on the 500 flight hours per year which is the annual flight hour for the airplane in 'H' university. This paper showed that economic life cycle of Cessna 172R is nine years since it was introduced in 2001, and Mooney 20J which was introduced in 1991 exceeds the economic life cycle in 2002.

• 한국항행학회논문지
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• 제26권3호
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• pp.136-143
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• 2022

조종사의 역할은 항공사의 안전에 절대적으로 중요하다. 초기 비행훈련 단계에서 군과 민간 출신별 실제 비행에 필요한 조종사 역량 습득에 차이가 있는지를 확인하기 위해, 본 연구에서는 배경별 교육훈련의 진행상황과 효과를 분석하여 차별화된 역량기반 교육을 연구하고자 한다. 특히, 업무안배 능력은 다른 조종역량에 대한 이해가 바탕이 되어야 하여, 타 조종역량이 업무안배에 미치는 효과를 분석하여 교육 방안을 제시하고자 한다. 이를 위해 군과 민간 출신에 따라 ICAO가 정의한 8개 역량 중 정기 숙련도 점검 결과에 차이가 있는지 여부를 판단하며, 군과 민간 출신의 평균 차이 및 두 집단의 업무안배에 미치는 조종역량 요인을 분석하였다. 분석결과 업무안배에 미치는 요인으로서 의사소통 능력과 상황인식 능력이 중요한 요인으로 분석되었으며, 군출신의 경우는 상황인식 능력이 뛰어날수록 업무안배 능력이 높은 것으로 나타나는 반면, 민간출신의 경우 의사소통 능력이 뛰어날수록 업무안배 능력이 높아지는 것으로 나타남에 따라 업무안배 교육에 출신에 따른 차별화된 교육이 필요한 것으로 나타났다.

• 한국항행학회논문지
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• 제23권1호
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• pp.8-19
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• 2019

조종사는 휴먼에러(human error)를 감소시키기 위한 방법들 중 하나로 체크리스트를 사용하여 항공의 안전에 도움이 되는 도구로 사용하고 있다. 하지만 복잡한 체크리스트는 경험이 부족한 학생 조종사들에게는 체크리스트가 작성된 본연의 목적과 다르게 안전에 위해 요인이 될 수 있다. 본 연구는 우선 학생조종사들이 사용하는 정상 체크리스트의 구성항목들을 단계 별로 살펴보았다. 이를 통해 체크리스트를 구성하는 요인들이 휴먼에러를 구성하는 요인들과 어떤 상관관계를 내포하는지 학생조종사들을 대상으로 한 사례연구를 통해 규명하고자 하였다. 탐색적 사례연구를 통해 다음과 같은 시사점을 제안하였다. 학생조종사들이 preflight inspection 체크리스트 점검을 수행함에 있어 기체에 대한 외부점검을 효율적으로 수행하도록 기체구조 또는 동력계통에 대한 전문지식 강화가 필요하다. 비행 시마다 조종사뿐만 아니라 해당 비행기의 정비 담당자가 외부점검을 실시하여 더블체크를 하는 재확인 절차를 통하여 안전을 증진시켜야 할 것이다.

• 한국항공운항학회지
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• 제18권2호
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• pp.54-59
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• 2010

The flight deck crew must manage complexity during daily flight operations. The Airline may obtain data regarding threats and errors through LOSA(Line Operations Safety Audits) on normal flights as predictive safety tool in Safety Management System of the Airline to actively improve the systems such as SOP(Standard Operation Procedure), training, evaluation and the TEM(Threat and Error Management) for the flight deck crew. The flight deck crew make errors when they fail managing threats. The crew mismanage around ten percent of threats and commit errors. The major mismanaged threats are aircraft malfunction, ATC(Air Traffic Communication), and wether threats. The effective countermeasures of TEM for manageing threats are leadership, workload management, monitor & cross check, Vigilance, communication environment and cooperation of the crew. It is important that organizations must monitor for the hazards of threats and improve system for the safer TEM environments.

• 한국항공운항학회지
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• 제29권2호
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• pp.100-105
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• 2021

The purpose of this study is to provide in-flight security in situations where aviation security is constantly threatened by the increase in illegal interference in aircraft and the threat of terrorism that still exists. It is to identify legal operational problems such as education and qualification of the original system and to propose improvement measures. To this end, the need for revision based on relevant laws and guidelines such as "Operation Guidelines for In-Flight Security Officers" is to be discussed based on international standards such as ICAO and Federal Air Marshal. The research method was based on interviews with SEMs such as cabin managers, which focused on ensuring the legal status of In-Flight Security Officer, establishing relationships with captains, and improving education and training.

• 한국항공운항학회지
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• 제29권2호
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• pp.111-116
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• 2021

Normal Operation Safety Survey (NOSS) is a safety management tool used by air traffic control organizations to measure data related to threats and errors to proactively prevent accidents before they occur. NOSS was developed to be applied to the air traffic control field according to the concept of Line Operation Safety Audit (LOSA) conducted by airlines to reduce human errors in the cockpits. Safety management based on data is crucial for the prevention of control-related accidents, and the competency of observers for this is important for the successful implementation of NOSS. Based on LOSA implementation experiences and expert interviews, this paper introduces the international NOSS methods and discusses the key factors required for effective observation and the implementation methods and implications of NOSS observer training.

• 품질경영학회지
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• 제49권3호
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• pp.255-268
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• 2021

Purpose: We sought to understand why a high-speed rotating projectile featuring a fuze-and-body assembly sometimes exhibited airburst, and we intended to improve the flight stability by eliminating airburst. Methods: We performed characteristic factor analysis, structural mechanics modeling, and dynamic modeling and simulation; and we scheduled firing tests to discover the cause of airburst. We used a step-by-step procedure to analyze the reliability function for selecting the bonding force standard that prevents airburst. Results: The 00MM high-speed rotating projectile features a fuze bonded to a body assembly; the bonding sometimes can break on firing. The resulting contact force, vibration and roll damping during flight generated yaw. Flight became unstable; fuze operation triggered an airburst. Our reliability test improved the bonding force standard (the force was increased). When the bonding force was at least the minimum required, a firing test revealed that airburst/flight instability disappeared. Conclusion: Analysis and identification of the causes of flight instability and airburst render military training safer and enhance combat power. Ammunition must perform as designed. Our method can be used to set standards that improve the performances of similar types of ammunition.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.44-51
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• 2005

Water flow in rivers during flood season can be 10 to 100 fold higher than normal seasons (low precipitation) in Japan and predicting flood runoff is essential for operating reservoirs with discharging gates. Abundant experiences and knowledge are requisites for operators to be able to make efficient decisions at work. This research investigated a method to transfer technical knowledge by acquiring skills and knowledge from actual dam operators and by using the information to construct an educational training system. The purpose of the research was to enable the execution of a secure and rational reservoir operation during flood period. The educational training system for reservoir operation was developed with the focuses on acquiring knowledge on hydraulics and hydrology and learning about decision making related to the reservoir operation as well as the timing of control. The system is capable of conducting education that corresponds to individual levels in each location. Of the educational training methods, a lecture method that uses textbooks is effective for the understanding of basic knowledge and concepts while a training method that uses a simulation device is essential for the practice of advanced and specialized procedures in specific fields. Simulation devices are used in operational training for airplane flight and driving cars and trains. The educational system presented here was designed to provide further assistance to those who have acquired basic knowledge and concepts through textbooks and also to at low them to perform the satisfactory operation of dam equipment. Our research proposes a method which can realize a system to acquire technical skills-the skills which are the foundation of technical knowledge and operation.

• 한국항공운항학회지
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• 제28권1호
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• pp.106-114
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• 2020

The Lion Air JT610 accident in Indonesia in October 2018, along with the Ethiopian Airline ET302 accident in March 2019, is an significant aircraft accident that detects defects of the B737MAX aircraft. Shortly after the accident, the FAA prohibited operation of the aircraft. This action has affected the market environment of airlines and aircraft manufacturers around the world. In October 2019, Indonesian Traffic Safety Committee released an accident investigation report for Lion Air JT610, which concluded that the causes of the accident were MCAS design defects, lack of education and training, and errors in the repair process. This paper summarizes the flight control system of the B737MAX aircraft, the causes of the accident based on the final accident investigation report, and provides considerations for aircraft design and retrofit.