Identification of Strategic Maintenance

Identification of Strategic Maintenance

Narayanan, Prasobh (Student TU Delft)
Verhagen, W.J.C. (TU Delft Air Transport & Operations)
Dhanisetty, V.S.V. (TU Delft Air Transport & Operations)

Peruzzini, Margherita (editor)
Pellicciari, Marcello (editor)
Bil, Cees (editor)
Stjepandić, Josip (editor)
Wognum, Nel (editor)

2018

Airline Maintenance and Engineering (M&E) organizations face accidental damages on their fleet of aircraft as part of daily practice. As this type of damage is stochastic in nature, the approach towards repairing accidental damage is reactive in practice. However, it is possible to predict future long-term (strategic) demand for maintenance resources associated with accidental damages and use this to identify required capacity. To achieve the mutually related goals of prediction of future repairs and determination of capacity, a novel approach for integration of reliability modelling and inventory control is presented in this paper. Here, the concept of inventory control has been specifically applied to determine the maintenance capacity by taking into account the stochastic demand related to unscheduled repairs following from accidental damages. To predict demand, a Non-homogeneous Poisson Process (NHPP) reliability model has been adopted. The reliability model includes superpositioning, through which failure behaviour at aircraft fleet-level can be estimated and subsequently simulated. The resulting demand is fed into a single-system, single location base-stock inventory model. This allows for determination of strategic capacity based on optimum costs as well as service level requirements. A case study has been performed on a fleet of Boeing 777 aircraft of a major European airline. The results prove the feasibility of adopting an integrated approach towards strategic capacity identification, using real-life data to predict future demand occurrence.

Aircraft maintenance
strategic resource scheduling
reliability

http://resolver.tudelft.nl/uuid:1ebe4d1a-bc53-47de-bf55-281feeef6bf5

https://doi.org/10.3233/978-1-61499-898-3-946

IOS Press

978-1-61499-897-6

Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0: Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, July 3–6, 2018, 7

25th ISPE Inc. International Conference on Transdisciplinary Engineering
, 2018-07-03 → 2018-07-06, Modena, Italy

Advances in Transdisciplinary Engineering, 2352-751X, 7

Institutional Repository

conference paper

© 2018 Prasobh Narayanan, W.J.C. Verhagen, V.S.V. Dhanisetty