Industrial maintenance decision-making: A systematic literature review
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Flagged first, then by citations
- Authors
- Ruschel, E., Santos, E. A. P., & Loures, E. D. F. R.
- Affiliations
- Pontifícia Universidade Católica do Paraná (BR)
- Corresponding author
- Ruschel, Edson
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 45
- Pages
- 180-194
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W2760655021
- Cited by
- 168
- References
- 163
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 12 · 2023: 35 · 2022: 19 · 2021: 33 · 2020: 22 · 2019: 18 · 2018: 12
- FWCI
- 4.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Manufacturing Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- industrial maintenance, maintenance decision-making, decision support system, maintenance optimization, predictive maintenance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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