The DOI matches its Crossref record; 194 of the 196 references it cites were found in a registry or an index.
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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Cites
Metal Additive Manufacturing: A Review
Frazier, W. E. (2014) · Journal of Materials Engineering and Performance · doi:10.1007/s11665-014-0958-z · Cited by 5,984
Beyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., Pellegrini, F. D., & Imrich Chlamtac, A. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,629
The rise of big data on cloud computing: Review and open research issues
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015) · Information Systems · doi:10.1016/j.is.2014.07.006 · Cited by 2,656
Integration of Cloud computing and Internet of Things: A survey
Alessio Botta, B., de Donato, W., Persico, V., & Pescapè, A. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.09.021 · Cited by 2,395
A head-mounted three dimensional display
Sutherland, I. E. (1968) · Proceedings of the December 9-11, 1968, fall joint computer conference, part I on - AFIPS '68 (Fall, part I) · doi:10.1145/1476589.1476686 · Cited by 2,065
Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., & Siegel, D. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.06.004 · Cited by 1,723
The Internet of Things vision: Key features, applications and open issues
Borgia, E. (2014) · Computer Communications · doi:10.1016/j.comcom.2014.09.008 · Cited by 1,496
Levy, G. N., Schindel, R., & Kruth, J. (2003) · CIRP Annals · doi:10.1016/s0007-8506(07)60206-6 · Cited by 1,150
Industrial Product-Service Systems—IPS 2
Meier, H., Roy, R., & Seliger, G. (2010) · CIRP Annals · doi:10.1016/j.cirp.2010.05.004 · Cited by 994
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- Harrington, 2015, Biological Archetypes for Self-Healing, Materials, 1
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Digitally enhanced maintenance: path towards continuous value creation and sustainability
Erkoyuncu, J. A., Ansari, F., Iung, B., & Takata, S. (2026) · CIRP Annals · doi:10.1016/j.cirp.2026.05.002
Self-citationBahmanyar, R., Ahmadi, S., Tavakoli, S. R., Harirforoosh, F., Azampour, M. F., Ghofrani, P., Harighi, S., Kamahi, S., Tafakor, Y., Khalaj, B. H., et al. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7180409
Essential skills for Maintenance 5.0: a hybrid classification approach
Aktef, Z., Cherrafi, A., Echefaj, K., Hamani, N., & Garza‐Reyes, J. A. (2026) · Journal of Quality in Maintenance Engineering · doi:10.1108/jqme-02-2026-0028
Albarqi, M. N. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1843244
Yamada, A., KODAMA, K., Yasuda, K., SEGAWA, Y., & ENAMI, M. (2026) · Springer eBooks · doi:10.1007/978-981-95-9272-2_32
Integration of Smart Polymers with Microelectromechanical Systems (MEMS)
Fraga, M. A., Santos, L. A. A., & Massi, M. (2026) · Springer series in materials science · doi:10.1007/978-3-032-21977-0_23
Feature Extraction-Oriented Analysis of Drilling Tool Wear Evolution in Composite Materials
Markert, C. B., Sousa, G., da Silva, M. M., Rodrigues, A. R., & Júnior, P. D. O. C. (2026) · International Electronic Conference on Sensors and Applications (ECSA) · doi:10.3390/engproc2026163026
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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