Home // SIMUL 2020, The Twelfth International Conference on Advances in System Simulation // View article
Authors:
Christian Fabig
Michael Völker
Thorsten Schmidt
Keywords: aircraft maintenance, workload estimation, project scheduling, simulation-based capacity planning
Abstract:
Capacity planning is a major issue in aircraft Maintenance, Repair and Overhaul (MRO) companies, given that significant parts of the workload are stochastic in nature. Vast amounts of data are gathered within Enterprise Resource Planning (ERP) systems. Despite their availability, data still has to be utilized to assist the capacity planning process. Besides a quantitative characterization of the capacity planning problem in aircraft MRO, this paper proposes a method for the classification, analysis and estimation of maintenance workloads. This enables to provide model input parameters for a discrete-event simulation on a daily basis. The proposed method comprises the selection of comparable historical projects for analysis, the transformation and mapping of operation data by means of rule-based data wrangling and the characterization of maintenance workloads broken down into network activities and skills.
Pages: 24 to 30
Copyright: Copyright (c) IARIA, 2020
Publication date: October 18, 2020
Published in: conference
ISSN: 2308-4537
ISBN: 978-1-61208-831-0
Location: Porto, Portugal
Dates: from October 18, 2020 to October 22, 2020