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Continuous maintenance and the future – Foundations and technological challenges
Open accessAbstract
High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security.
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“This is also important in the context of the CE [107] as CE-I4.0 integration will require a focus on innovative activities, as well as emerging digital technologies [120].”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [120]
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Flagged first, then by citations
2 of the 196 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Harrington, 2015, Biological Archetypes for Self-Healing, Materials, 1
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Metadata
- Authors
- Roy, R., Stark, R., Tracht, K., Takata, S., & Mori, M.
- Affiliations
- Engineering and Physical Sciences Research Council (GB)
- Technische Universität Berlin (DE)
- University of Bremen (DE)
- Waseda University (JP)
- DMG Mori (Japan) (JP)
- Corresponding author
- Roy, R.
- Venue
- CIRP Annals
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 65
- Issue
- 2
- Pages
- 667-688
- ISSN
- 0007-8506 (ISSN-L)
- OpenAlex
- W2463378445
- Cited by
- 309
- References
- 196
- Citations by year
- 2026: 16 · 2025: 20 · 2024: 29 · 2023: 29 · 2022: 29 · 2021: 47 · 2020: 41 · 2019: 37 · 2018: 35 · 2017: 23 · 2016: 3
- FWCI
- 61.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CIRP Annals (publishedVersion, cc-by)
- City Research Online (City University London) (acceptedVersion)
- DepositOnce (submittedVersion, cc-by)
- CERES (Cranfield University) (submittedVersion, cc-by)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Technische Universität Berlin – Universitätsbibliothek (cc-by)
- Funders
- EPSRC
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Transportation Systems and Infrastructure
- Keywords
- degradation modeling, deterioration assessment, big data analytics, life cycle cost, maintenance services, Industry 4.0, Internet of Things, cybersecurity, maintenance standards, advanced computing
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