Transition paths for condition‐based maintenance‐driven smart services Article Swipe
Henk Akkermans
,
Rob Basten
,
Quan Zhu
,
Luk N. Van Wassenhove
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/joom.1295
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/joom.1295
This research investigates growth inhibitors for smart services driven by condition‐based maintenance (CBM). Despite the fast rise of Industry 4.0 technologies, such as smart sensoring, internet of things, and machine learning (ML), smart services have failed to keep pace. Combined, these technologies enable CBM to achieve the lean goal of high reliability and low waste for industrial equipment. Equipment located at customers throughout the world can be monitored and maintained by manufacturers and service providers, but so far industry uptake has been slow. The contributions of this study are twofold. First, it uncovers industry settings that impede the use of equipment failure data needed to train ML algorithms to predict failures and use these predictions to trigger maintenance. These empirical settings, drawn from four global machine equipment manufacturers, include either under‐ or over‐maintenance (i.e., either too much or too little periodic maintenance). Second, formal analysis of a system dynamics model based on these empirical settings reveals a sweet spot of industry settings in which such inhibitors are absent. Companies that fall outside this sweet spot need to follow specific transition paths to reach it. This research discusses these paths, from both a research and practice perspective.
Related Topics
Concepts
Pace
Computer science
Empirical research
Service provider
Service (business)
Reliability (semiconductor)
Industry 4.0
Condition-based maintenance
Industrial Internet
Business
Internet of Things
Operations management
Computer security
Marketing
Engineering
Reliability engineering
Embedded system
Physics
Power (physics)
Geodesy
Quantum mechanics
Epistemology
Philosophy
Geography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/joom.1295
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/joom.1295
- OA Status
- hybrid
- Cited By
- 9
- References
- 88
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391116337
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391116337Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/joom.1295Digital Object Identifier
- Title
-
Transition paths for condition‐based maintenance‐driven smart servicesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-22Full publication date if available
- Authors
-
Henk Akkermans, Rob Basten, Quan Zhu, Luk N. Van WassenhoveList of authors in order
- Landing page
-
https://doi.org/10.1002/joom.1295Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/joom.1295Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/joom.1295Direct OA link when available
- Concepts
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Pace, Computer science, Empirical research, Service provider, Service (business), Reliability (semiconductor), Industry 4.0, Condition-based maintenance, Industrial Internet, Business, Internet of Things, Operations management, Computer security, Marketing, Engineering, Reliability engineering, Embedded system, Physics, Power (physics), Geodesy, Quantum mechanics, Epistemology, Philosophy, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 6Per-year citation counts (last 5 years)
- References (count)
-
88Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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