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Cited by 567

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

A review on maintenance optimization

Open access
de Jonge, Bram, Scarf, Philip A.·2020·European Journal of Operational Research

Abstract

Abstract To this day, continuous developments of technical systems and increasing reliance on equipment have resulted in a growing importance of effective maintenance activities. During the last couple of decades, a substantial amount of research has been carried out on this topic. In this study, we review more than two hundred papers on maintenance modeling and optimization that have appeared in the period 2001 to 2018. We begin by describing terms commonly used in the modeling process. Then, in our classification, we first distinguish single-unit and multi-unit systems. Further sub-classification follows, based on the state space of the deterioration process modeled. Other features that we discuss in this review are discrete and continuous condition monitoring, inspection, replacement, repair, and the various types of dependencies that may exist between units within systems. We end with the main developments during the review period and with potential future research directions.

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Metadata

Authors
de Jonge, B., & Scarf, P. A.
Venue
European Journal of Operational Research
Publisher
Elsevier BV
Published
2020-09
Volume
285
Issue
3
Pages
805-824
ISSN
0377-2217 (ISSN-L)
OpenAlex
W2975677389
Cited by
567
References
80
FWCI
48.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A review on maintenance optimization. https://app.cochat.ai/papers/10.1016/j.ejor.2019.09.047
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de Jonge, B., & Scarf, P. A. (2020). A review on maintenance optimization. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2019.09.047

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.