Maintenance Policy Comparison
Within the Royal Netherlands Navy
L.T.R. van Geffen (TU Delft - Mechanical Engineering)
Austin Kana – Mentor (TU Delft - Ship Design, Production and Operations)
Joan le Poole – Mentor (TU Delft - Ship Design, Production and Operations)
J. F.J. Pruijn – Graduation committee member (TU Delft - Ship Design, Production and Operations)
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Abstract
This thesis compares maintenance strategies for the Royal Netherlands Navy to optimize cost, man-hours and downtime. A decision support model was developed to evaluate different mixes of Corrective Maintenance (CM), Time-Driven Scheduled Maintenance (TDSM), and Condition-Based Maintenance (CBM) using SAP data and expert input. Results show that CBM application (~20–50%) reduces long-term costs for high-criticality systems, while man-hour efficiency sometimes favors more CM due to underreported labor in existing data. The model supports tailored, data-driven maintenance planning across vessel types and system groups.