• Title/Summary/Keyword: Air Logistics

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Human-in-the-Loop Simulation Analysis of Integrated RPAS Operations in Trajectory Based Operations Environment

  • Oh, Hyeju;Kang, Jisoo;Kang, Seon-Young;Choi, Keeyoung;Lee, Hak-Tae;Jung, Hyuntae;Moon, Woo-Choon
    • International Journal of Aeronautical and Space Sciences
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    • v.17 no.4
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    • pp.604-613
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    • 2016
  • In this paper, Human-in-the-Loop (HiTL) simulations of Remotely Piloted Aircraft System (RPAS) operations in two different Air Traffic Management (ATM) concepts, conventional radar vectoring and Trajectory Based Operations (TBO), were performed to assess the impacts of RPAS integration in the future ATM environment. TBO concept maximizes the throughput by planning and sharing 4-D trajectories between pilots and controllers, and it is considered one of the key concepts to enable RPASs to operate with manned aircraft in congested airspaces. RPASs are characterized by having communication delay or temporary loss of communication. TBO capability was added to the integrated air traffic simulation system for this study, which was developed in the Inha University. HiTL simulations were performed by a trainee air traffic controller with three scenarios, and the data were analyzed using safety, efficiency, and controller workload metrics. The results suggest that TBO were effective in reducing delays and controller workload while maintaining the level of safety.

An Algorithm for the Loading Planning of Air Express Cargoes (항공 특송화물 탑재계획을 위한 알고리즘)

  • Son, Dong-Hoon;Kim, Hwa-Joong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.3
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    • pp.56-63
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    • 2016
  • For air express service providers offering various express delivery services such as overnight delivery and next-business day delivery services, establishing quickly cargo loading plans is one of important issues owing to the characteristics of air express business, i.e., a short amount of time is available to complete all cargo loading operations before flight departure after receiving air express containers, pallets and bulks. On the other hand, one of major concerns in the air cargo loading planning is to make a plan that insures the stability of an aircraft to avoid take-off, flight, and landing accidents. To this end, this paper considers an air cargo loading planning problem, which is the problem of determining locations in the aircraft cargo space where air containers, pallets and bulks to be loaded while insuring the aircraft stability, motivated from DHL and Air Hong Kong. The objective of the problem is to maximize the total revenue gained from loading air express containers, pallets and bulks. To solve the problem, this paper suggests a simulated annealing algorithm to overcome impracticality of the integer programming model developed by a previous study requiring excessive computation time. The results of computational experiments show that the heuristic algorithm is a viable tool for establishing express cargo loading plans as giving robust and good solutions in a short amount of computation time. Scenario analyses are performed to investigate the effect of the current activities of air express carriers on the revenue change and to draw practical implications for air express service providers.

Analysis on Influencing Factors of Development of Agricultural Product Cold Chain Logistics in Jilin Province, China (중국 길림성 농산물 콜드체인 물류 발전의 영향요인 분석)

  • Qi, Lu;Jung, Gi-Young;Kim, Hyung-Ho
    • Journal of the Korea Convergence Society
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    • v.11 no.2
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    • pp.9-15
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    • 2020
  • Jilin province has a rich variety of agricultural and sideline products. The circulation of agricultural products needs the support of cold chain logistics. The development of cold chain logistics in Jilin province is lagging behind, which leads to waste of agricultural products and decrease of farmers' income. As a result, this article from the perspective of cold chain logistics development, extracted the influence factors of fresh agricultural products cold chain logistics development in Jilin province, using the analytic hierarchy process (AHP) on the degree of restriction factors, weight analysis found that agricultural products cold chain logistics costs, information technology application and market-based degree of cold chain logistics is the three main factors for the development of Jilin province agricultural cold chain logistics, and puts forward the development plan, in order to guide the development direction of Jilin agricultural cold chain logistics.

Analysis on Logistics Efficiency of China's Agricultural Products Cold Chain from the Green Perspective

  • Qi, Lu;Chung, Gi-Young;Kim, Hyung-Ho
    • International Journal of Advanced Culture Technology
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    • v.8 no.2
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    • pp.192-203
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    • 2020
  • Although the market demand for cold-chain logistics of agricultural products in China is growing rapidly, the technology and scale of cold-chain logistics in China still lag behind the developed countries, resulting in large energy consumption. In our country, many authors have studied the efficiency of cold-chain logistics by using analytic hierarchy process and data envelopment method, but they haven't eliminated the influence of environmental factors and random error factors on the efficiency of cold-chain logistics, and most of them are limited to regional research. Therefore, in this paper, the three-stage DEA method is used. Based on the green logistics idea, firstly, the efficiency of 29 listed logistics enterprises in China is analyzed. Secondly, this paper uses SFA model to exclude the influence of environment and error factors on the analysis results, taking the enterprise's operating years, local GDP and the proportion of cold chain assets as environmental variables. Finally, this paper estimates the efficiency value again by adjusting the input value. The results are as follows: the main reason of high efficiency enterprises is to achieve scale efficiency. So the scale of assets should be maintained or appropriately expanded. At the same time, the economic development and the number of years of enterprise establishment will significantly affect the efficiency of cold-chain logistics. The influence of these environmental variables on the accuracy of the analysis conclusion should be fully considered.

Establishment of Safety Alert Systems for Urban Air Mobility Operations (도심항공교통(UAM) 운항을 위한 안전 경고 기능 구축)

  • Sang-il Choi;Seung-yeon Nam;Hui-yang Kim
    • Journal of Advanced Navigation Technology
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    • v.28 no.2
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    • pp.163-171
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    • 2024
  • In the existing air traffic management (ATM) system, various types of safety alert features are provided based on trajectory data to ensure the safety of aircraft operations, along with aircraft position and detailed flight information. The urban air traffic management (UATM) system for urban air mobility (UAM) should also provide safety alert features to ensure the safety of UAM operations. Considering the operational environment of UAM, it is necessary that the safety alert features provided at least match or exceed those available in the existing ATM system. This study aims to present the safety alert features of the new UATM system that differ from those provided by the existing ATM system before introduction and commercialization of UAM. The study was conducted focusing on the safety alert features that should be provided in the event of a deviation from the UAM's path, and the establishment of the safety alert features was carried out in two parts: approach path monitor (APM), which is applied during the approach phase, and route adherence monitoring (RAM), which is applied during the cruise phase.

Estimation of Annual Runway Capacity for Jeju International Airport Considering Aircraft Delays (항공기 지연시간을 고려한 제주국제공항 활주로 연간용량 산정)

  • Park, Jisuk;Yun, Seokjae;Lee, Youngjong;Baik, Hojong
    • Journal of Korean Society of Transportation
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    • v.33 no.2
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    • pp.214-222
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    • 2015
  • Jeju International Airport has become the most delayed airport in Korea, due to increased demand in air passengers and unexpected local weather condition. Observing the demands continuously grow for a decade, the airport is expected to be saturated in the near future. As a part of effort to prepare effective and timely measure for this expected situation, airport planners seeks the annual runway capacity, i.e., the appropriate number of flight operations in a given year with tolerable delay. In practice, the FAA formula is frequently adopted for the capacity estimation. The method, however, has intrinsic issues: 1) the hourly capacity imbedded in the formula is not clearly defined and thus the estimated value is vulnerable to be subjective judgement, and 2) the formula doesn't consider aircraft delay resulted from runway congestion. In this paper, we explain a novel method for estimating the daily runway capacity and then converting to the annual capacity taking into account the aircraft delay. In this paper, average delay of aircraft was measured using microscopic air traffic simulation model. Daily capacity of the runways were analyzed based on the simulation outputs and the method to assess the yearly capacity is introduced. Using a microscopic simulation model named TAAM, we measure the average aircraft delay at various levels of flight demand, and then estimate the practical daily runway capacity. The estimated daily and annual runway capacities of Jeju airport are about 460 operations a day which is equal to 169,000 operations year. The paper discusses how to verify the simulation model, and also suggests potential enhancement of the method.

A Study on Logistics Cost Analysis for Autonomous Cargo Truck (무인화물차의 물류비용 분석에 관한 연구)

  • Kim, Hwan-Seong;Park, Jin-Soon;Jo, Min-Ji
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.207-208
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    • 2016
  • By according to increase the research for autonomous vehicle in automobile industries, the efficient of autonomous cargo truck instead of conventional driver cargo truck will be analyzed in logistics areas. The inland transportation has been serious problem such as traffic accident, traffic congestion in downtown, air pollution, noise and etc. even if it have a great effect to logistics industries. Especially there have to be improved its transportation schedule and sleepy driving in night which induced heavy accident in highway. In this study, the effectiveness of autonomous cargo truck will be analysed by considering the logistics cost including social effects.

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Analysis of Weather Conditions from Hourly to Seasonal Scales for Pilot Aviation Training Organization(ATO): Case study for Muan International Airport (조종사 양성 전문교육기관을 위한 시간대 및 계절별 기상분석 연구 : 무안국제공항을 중심으로)

  • Son, Byoung Wook;Kim, Hyeonmi;Kim, Hui Yang
    • Journal of Advanced Navigation Technology
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    • v.26 no.5
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    • pp.249-260
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    • 2022
  • Student pilots receiving flight education are inexperienced in piloting and situation judgment skills and are greatly affected by various factors such as psychological, physical, and environmental factors. In particular, one of the most influential factors in the flight education of student pilots is the weather conditions. Unlike large aircraft used in the air transportation business, small aircraft used for flight education have a great impact on education, such as flight restrictions depending on weather conditions, psychological pressure in severe weather, and deterioration of student skills. Therefore, in this study, the meteorological characteristics of meteorological factors that have a great influence on small aircraft were analyzed. As a result of the analysis, an efficient and safe training operation method was suggested to a professional pilot aviation training organization through the adjustment of the training period for the season, the increase in aircraft operation rate, and a safe solo flight plan considering the weather.

Utilization of Subway Stations for Drone Logistics Delivery in the Post-Pandemic Era (포스트 팬데믹 시대 드론 물류배송을 위한 지하철 역사의 활용방안)

  • Moon, Sang-Won;Lee, Han-Byeol;Kang, Hoon
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.375-383
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    • 2021
  • Due to COVID-19, people are building new lifestyles such as online shopping, online travel, and video conferencing by limiting going out and gatherings. Such rapid social change is causing new problems and deepening existing problems at the same time. In particular, as online consumption increases significantly, traffic congestion, air pollution, and the heavy workload of delivery drivers are deepening in the daily logistics industry, and face-to-face delivery is emerging as a new problem. With the advent of the 4th industrial revolution, unmanned delivery using drones, artificial intelligence, and autonomous driving is emerging as an alternative to the existing logistics industry. However, space for logistics facilities and securing additional logistics sites due to drone flight are emerging as new problems to be solved. Therefore, it is intended to link additional services such as logistics movement, storage, and delivery by utilizing the existing transportation business, the subway, as a space for a logistics facility for drones that can solve existing problems and new problems.