TY - JOUR
T1 - Aircraft Maintenance 4.0 in an era of disruptions
AU - Tsakalerou, Mariza
AU - Nurmaganbetov, Dauren
AU - Beltenov, Nurtay
N1 - Funding Information:
This work was funded by the SOE2018014 (FDCRG) grant of Nazarbayev University.
Publisher Copyright:
© 2022 The Authors. Published by Elsevier B.V.
PY - 2022
Y1 - 2022
N2 - Digital transformation in manufacturing is having a distinct impact on a variety of business models, including aircraft maintenance. Airline operators are revamping their Maintenance, Repair and Overhaul (MRO) activities with the use of integrated digital platforms and data mining to achieve greater operational efficiencies in parts usage, downtime, and service costs. The term Aircraft Maintenance 4.0 captures the leveraging of information to achieve greater operational agility and to reduce costs. Consolidating data obtained via wireless connectivity from diverse sources enables effective performance monitoring that can inform MRO operations. The severe restriction of flights worldwide due to the pandemic has disrupted the progress of Aircraft Maintenance 4.0 by altering flight routes and rendering most of the historical data obsolete. In this paper, certain aspects of the disruption that deal with airline network changes and their evolution during the pandemic are studied by using publicly available data of a commercial airline.
AB - Digital transformation in manufacturing is having a distinct impact on a variety of business models, including aircraft maintenance. Airline operators are revamping their Maintenance, Repair and Overhaul (MRO) activities with the use of integrated digital platforms and data mining to achieve greater operational efficiencies in parts usage, downtime, and service costs. The term Aircraft Maintenance 4.0 captures the leveraging of information to achieve greater operational agility and to reduce costs. Consolidating data obtained via wireless connectivity from diverse sources enables effective performance monitoring that can inform MRO operations. The severe restriction of flights worldwide due to the pandemic has disrupted the progress of Aircraft Maintenance 4.0 by altering flight routes and rendering most of the historical data obsolete. In this paper, certain aspects of the disruption that deal with airline network changes and their evolution during the pandemic are studied by using publicly available data of a commercial airline.
KW - Aircraft maintenance
KW - airline logistics
KW - airline networks
KW - predictive maintenance
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U2 - 10.1016/j.procs.2022.01.211
DO - 10.1016/j.procs.2022.01.211
M3 - Conference article
AN - SCOPUS:85127762111
SN - 1877-0509
VL - 200
SP - 121
EP - 131
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 3rd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2021
Y2 - 19 November 2021 through 21 November 2021
ER -