Research output per year
Research output per year
Prasobh Narayanan, Wim J.C. Verhagen*, V. S.Viswanath Dhanisetty
Research output: Contribution to journal › Article › Scientific › peer-review
Airline operators face accidental damages on their fleet of aircraft as part of operational practice. Individual occurrences are hard to predict; consequently, the approach towards repairing accidental damage is reactive in aircraft maintenance practice. However, by aggregating occurrence data and predicting future occurrence rates, it is possible to predict future long-term (strategic) demand for maintenance capacity. In this paper, a novel approach for integration of reliability modelling and inventory control is presented. Here, the concept of a base stock policy has been translated to the maintenance slot capacity problem to determine long-term cost-optimal capacity. Demand has been modelled using a superposed Non-homogeneous Poisson Process (NHPP). A case study has been performed on damage data from a fleet of Boeing 777 aircraft. The results prove the feasibility of adopting an integrated approach towards strategic capacity identification, using real-life data to predict future damage occurrence and associated maintenance slot requirements.
Original language | English |
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Pages (from-to) | 30-48 |
Number of pages | 19 |
Journal | Journal of Management Analytics |
Volume | 6 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2019 |
Research output: Thesis › Dissertation (TU Delft)