Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
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Most literature on decision support systems in the maintenance domain focused on preventive and predictive models to forecast and prioritise maintenance activities.
“Most literature on decision support systems in the maintenance domain focused on preventive and predictive models to forecast and prioritise maintenance activities [70].”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [70]
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- Authors
- Bumblauskas, D., Gemmill, D., Igou, A., & Anzengruber, J.
- Affiliations
- University of Northern Iowa (US)
- Iowa State University (US)
- University of Applied Sciences Upper Austria (AT)
- Corresponding author
- Bumblauskas, Daniel
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 90
- Pages
- 303-317
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2746326988
- Cited by
- 120
- References
- 91
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 11 · 2023: 10 · 2022: 18 · 2021: 19 · 2020: 27 · 2019: 9 · 2018: 8
- FWCI
- 17.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- UNI ScholarWorks (University of Northern Iowa) (submittedVersion)
- 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
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- intelligent maintenance, decision support system, big data analytics, predictive maintenance, company data, asset lifecycle management, cost minimization, warranty data, maintenance decision model
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