Maintenance schedules by conditional inference trees

Shixuan Wang

doi:10.1016/j.ejor.2026.08.022

Maintenance schedules by conditional inference trees

2026-08-12

0

PRE

AI

Simme Douwe P. Flapper

C

Carla Di Cairano‐Gilfedder

M

Mohamed M. Naim

DOI：10.1016/j.ejor.2026.08.022

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Abstract

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• We develop a dynamic maintenance scheduling policy by conditional inference trees. • The data-driven policy has a good balance between applicability and interpretability. • We employ a simulation-based method to estimate maintenance costs. • We propose a new backward optimization procedure for the operational parameters. • The CIT-based policy is shown to be highly effective compared to two benchmarks.

Keywords:

Maintenance

Conditional Inference Trees

Empirical Data

Automotive Engines

Maintenance schedules by conditional inference trees

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