Autors: Georgiev, K. K., Vachev, N. M.
Title: Predicting the Unscheduled Workload for an Aircraft Maintenance Work Package
Keywords: unscheduled maintenance, predicting workload, aircraft maint

Abstract: Aircraft maintenance production planning depends on an accurate estimate of the time and workload to complete a given aircraft maintenance package. It is related to the formation of the final price to the client, determining the turnaround time for the airplane and capacity planning for the maintenance base. Defect removal work is one of the factors that most significantly affects the execution time. The volume of these unplanned works is random and is a major source of uncertainty in determining the total workload. In this work the contribution of different factors to the percentage of unscheduled works was explored using two generic approaches. The more conventional was package-level based on the total planned man-hours, aircraft age, aircraft type and operator. An alternative was to consider task-level variables as the type of maintenance tasks performed and the systems/equipment/skills involved. Applying data analytics in maintenance production planning can provide better accuracy.

References

    Issue

    AIP Conference Proceedings, BulTrans 2021, vol. 2557, issue 1, pp. 020001, 2022, Bulgaria, AIP Publishing, DOI 10.1063/5.0104651

    Цитирания (Citation/s):
    1. Haonan Li, Marta Ribeiro, Bruno Santos and Iordanis Tseremoglou. "Prediction of Non-Routine Tasks Workload for Aircraft Maintenance with Supervised Learning," AIAA 2024-2529. AIAA SCITECH 2024 Forum. January 2024. - 2024 - в издания, индексирани в Scopus или Web of Science
    2. Francesco Martone, Gaetano Zazzaro, Michele Inverno, Sergio De Luca, Francesco Mainieri and Gianpaolo Romano, A Supporting Framework for Aircraft MRO Operations. Capacity Planning, Tasks Traceability and Disembarked Items Tracking, 34th Congress of the International Council of the Aeronautical Sciences (ICAS) 2024, Florence, 2024 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus