• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.2
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• pp.84-93
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• 2021

Airline schedule is the most basic data for flight operations and has significant importance to an airline's management. It is crucial to know the airline's current schedule status in order to effectively manage the company and to be prepared for abnormal situations. In this study, machine learning techniques were applied to actual schedule data to examine the possibility of whether the airline's fleet state could be artificially learned without prior information. Given that the schedule is in categorical form, One Hot Encoding was applied and t-SNE was used to reduce the dimension of the data and visualize them to gain insights into the airline's overall fleet status. Interesting results were discovered from the experiments where the initial findings are expected to contribute to the fields of airline schedule health monitoring, anomaly detection, and disruption management.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.27-37
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• 2007

Many problems related to airline business belong to large-scale optimization problems, so that it is expected that the state-of-art optimization techniques are widely applied to making the airline operation effective and competitive. This paper introduces the concepts and mathematical models of various optimization problems in airline system. Airlines involve many activities that utilize airline resources such as aircrafts and crews to make profit. We view the airline activities in the planning and operational aspects. In the planning viewpoint, we discuss the flight schedule design problem that impacts on passenger demand directly. For aircraft and crews, we deal with fleet assignment, aircraft routing, crew pairing optimization, and crew assignment problem. In the operational viewpoint, we concern schedule recovery problems for aircrafts and crew using the method of reassigning available resources when airlines face with the unexpected situations.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.4
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• pp.101-109
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• 2006

This study investigates what criterion airline customers recognize important when evaluating airline firms. Specifically it is surveyed if different criterion are used by different groups of airline customers when choosing an airline firm. In addition customer group with high loyalty to 'K' airline, national carrier of Korea, is differently evaluate 'K' airline for the selection criterion over customer group without loyalty. Frequent flyer program is suggested most important by most of the customers being followed by flight schedule. Flight schedule, in-flight food and air fare of 'K' airline are differently evaluated according to level of royalty to the airline. However there appears no difference in the evaluation of seat and entertainment between two groups, customers with high loyalty and customers without loyalty.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.15 no.25
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• pp.91-95
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• 1992

The aircraft schedule is the central of an airline's planning process, aimed at optimizing the deployment of airline's resources in order to maximize profits In this paper, the aircraft schedule is formulated as an integer programming model and the exact algorithm hared on enumeration method is proposed.

• Korean Management Science Review
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• v.21 no.1
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• pp.39-55
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• 2004

Efficient crew scheduling for cockpit crew is important in airline industry due to operational safety and cost associated with the flight duty time. Because of complexity of regulations imposed to the cockpit crew. it is complicated to generate an efficient schedule. Schedule of cockpit crew can be generated through two steps; selecting of flight patterns. and scheduling of them to the specific time horizon. Heuristic method is developed and applied with massive data in a limited time of computation. A set of flight patterns is selected from all possible flight patterns. which are generated by composing the flight leg based on regulations. by using the set partitioning problem with objective function of oversea stay cost. The selected set of flight patterns found at the first step is allocated to 4 week crew schedule to minimize the variance of total fight time assigned to each crew. The crew schedules obtained are evaluated and compared with the ones currently used in one of major airline company.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.271-280
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• 2011

In this paper, the relationships between code-share networks and performances in airline industry were analyzed by using Social Network Analysis (SNA). We first analyzed the schedule data from OAG (Official Airline Guide) to obtain core-share information of airline industries. SNA was, then, applied to the code-share information. Finally, statistical analysis was conducted to analyze the relationships between code-share social networks and performances. The result shows that the size and out-degree centrality have relatively significant effects on the performance of airline industries, while in-degree and betweenness centrality has less significant effects.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.13 no.3
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• pp.85-97
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• 2005

The objective of this study is to investigate freight forwarders' airline choice behaviors in the Korean air cargo transportation market. This study identifies the major factors affecting airline choice and their relative importance by analyzing the data gathered by the survey from freight forwarders in Seoul. The questionnaire of the survey is composed of two parts; the first part is to identify the significant variables of airline choice and the second part is to gather the data about airline choice using stated preference techniques. The relative importance of major variables considered in forwarders' airline choice is estimated by the logit models calibrated with stated preference data. To strength the reliability of the analysis, this study segments the market by three routes; Seoul-Los Angeles, Seoul-Amsterdam and Seoul-Hongkong. The five major variables that are considered seriously in airline choice are reliability, space availability, frequency, cost and flight schedule. The utility trade-offs between variables are estimated by the ratio analysis of coefficients of logit model of each route, and the results of ratio analysis is interpreted as reflecting the reality of market conditions.

• Korean Management Science Review
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• v.21 no.3
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• pp.71-84
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• 2004

CRS, which was initially developed to support airline reservation is now the main part of e-business of airlines, and it decides the degree of prompt and accurate itinerary for travelers due to the remarkable difference in availability inquiry and seats reservation information according to CRS joining level CRS joining level also decides the exactness of reservation, ticketing and traffic data collection and plays the most important role in the exactness of advanced forecast of demand, appropriate seats allocation, and overbooking. Therefore, it provides front end function like seats reservation, schedule display, fare inquiry on-line linked with CRS and back office function like sales result of travel agents, accounting administration. stock administration and customer administration and decides the level of an airline's e-business.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.16 no.3
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• pp.15-20
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• 2008

At the choice of aviation company, safety appears as biggest variable than expenses, speed and comfort so these are concerned not only aviation companies but also countries and customers. Until now, ICAO has been making effort to reduce the flight accident through the safety advice of aviation part, establishment of standard, education, training and develop of navigation aids. Especially in 2008, they emphasize that the flight accident is reduced through researches and applications about SMS as safety regulation. Important primary factor to give influence about promotion of SMS is practice of organization and for this, to investigate recognition about safety management and culture of members. At point of this, this research analyze the recognition degree about how to manage safety and SMS for pilots an mechanics of Korea.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.2
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• pp.123-131
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• 2018

Air transport industry tries to enhance punctuality, stability and amenity for customer's satisfaction. Especially airlines and airports do make an effort as the distance between these two stakeholders and passengers are close. This research has empirically discussed the relationship between duty free shop purchase of passengers and the number of flights and hours of schedule delay at the airport. According to the result, the total sales of duty free shop sales have meaningful influence on the number of flights and hours of delay. In order to decrease such an impact, close cooperation between airports and duty free shops required.