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International Journal of Aviation Management (3 papers in press)
A conceptual approach for aircraft readiness management through aircraft downtime optimisation
by Maria Makrygianni, Panagiotis Tsarouhas Abstract: A framework for aircraft downtime optimisation in a military squadron was proposed. Military squadron was considered as a production system, producing operational aircraft. Each working day that an aircraft is out of service is a defective product. A group of 30 aircraft was studied in order to determine the proportion of defectives. Laney P chart depicted that the aircraft maintenance performance was in control. Nevertheless, two aircraft had undergone to unusual downtime interval. For these aircraft, cannibalisation, waiting and repairing time was analysed with partial least square regression. Eight points were came up as outliers and leverages. The analysis of these points revealed that airframe powerplant general (APG), communication/navigation, electrical and structure systems are undergone to
long waiting and repairing time. While, recovery of fuel and electrical systems
is downgraded by cannibalisation time. Incorporation of this methodology in aviation would strengthen the optimisation process of readiness, maintenance costs, quality and safety. Keywords: aircraft; attribute control chart; downtime; partial least square; PLS. DOI: 10.1504/IJAM.2020.10034473
Insights from a mixed-methods Delphi study into the global airline industry by Darren Ellis Abstract: This paper looks at the key methodological and design insights gained from a five stage mixed-methods Delphi study investigating the global airline industry's likely future strategic trajectory. The exploratory study sequentially unfolded across a workshop, test/pilot survey, main survey 1, main survey 2, and finally in-depth interviews. The study revealed the important roles each stage played in gathering a wide array of salient data and informing subsequent stages and analysis. This research journey demonstrated the versatility available when mixing quantitative and qualitative methods in a Delphi study covering air transport, and how each can reinforce and complement the other. This is particularly relevant when investigating emerging air markets, where existing data are either limited or non-existent. Although a geographically dispersed multidisciplinary cohort of participants contributed to this study, more expert voices from under-researched emerging regions and air markets are evidently required for future research into this still expanding global industry. Keywords: Delphi study; emerging air markets; mixed-methods; global airline industry; strategic forecasting; liberalisation; protectionism; industry level analysis. DOI: 10.1504/IJAM.2021.10042765
An Optimization Model of Environmental Pollutants for the Air Transport Network Based on Flight Altitude by Alireza Ansariyar, Ali Abdi Kordani, Fatemeh Mohajeri, Babak Mirbaha Abstract: The most important objectives of the air transport fleet design are meeting the travel demand in the network of existing trajectories, reducing costs and improving the emission rate of environmental pollutants. The environmental performance of the airline fleet is considered as a basic criterion for the design of air transport systems because of concerns in the area of global warming. In this study, the emission rate of environmental pollutants is separately measured, and logical relationships among fuel consumption, the emission rate of propellants, the volume of travel demand by airline fleet, and flight travel time are determined through using an optimization model based on system equilibrium conditions. Eventually, the optimization problem presented in a systematic air transport network is analysed and the results indicate that the emission of environmental pollutants is reduced by 64%. Keywords: air transport fleet; environmental pollutants; fuel consumption; travel demand; airline fleet; flight travel time.