Print Email Facebook Twitter Identification of Strategic Maintenance Title Identification of Strategic Maintenance Author Narayanan, Prasobh (Student TU Delft) Verhagen, W.J.C. (TU Delft Air Transport & Operations) Dhanisetty, V.S.V. (TU Delft Air Transport & Operations) Contributor Peruzzini, Margherita (editor) Pellicciari, Marcello (editor) Bil, Cees (editor) Stjepandić, Josip (editor) Wognum, Nel (editor) Date 2018 Abstract 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. Subject Aircraft maintenancestrategic resource schedulingreliability To reference this document use: http://resolver.tudelft.nl/uuid:1ebe4d1a-bc53-47de-bf55-281feeef6bf5 DOI https://doi.org/10.3233/978-1-61499-898-3-946 Publisher IOS Press ISBN 978-1-61499-897-6 Source 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 Event 25th ISPE Inc. International Conference on Transdisciplinary Engineering, 2018-07-03 → 2018-07-06, Modena, Italy Series Advances in Transdisciplinary Engineering, 2352-751X, 7 Part of collection Institutional Repository Document type conference paper Rights © 2018 Prasobh Narayanan, W.J.C. Verhagen, V.S.V. Dhanisetty Files PDF ATDE7_0946.pdf 600.02 KB Close viewer /islandora/object/uuid:1ebe4d1a-bc53-47de-bf55-281feeef6bf5/datastream/OBJ/view