Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
Record link: 
http://hdl.handle.net/20.500.12708/138224
-
Title: 
A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation
en
Citation: 
Passath, T., Huber, C., Kohl, L., Biedermann, H., & Ansari, F. (2021). A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation. Tehnicki Glasnik, 15(2), 226–334. https://doi.org/10.31803/tg-20210504111400
-
Publisher DOI: 
10.31803/tg-20210504111400
-
Publication Type: 
Article - Original Research Article
en
Language: 
English
-
Authors: 
Passath, Theresa 
Huber, Cornelia 
Kohl, Linus 
Biedermann, Hubert 
Ansari, Fazel 
-
Organisational Unit: 
E330-02-1 - Forschungsgruppe Smart and Knowledge Based Maintenance 
-
Journal: 
Tehnicki Glasnik 
-
ISSN: 
1846-6168
-
Date (published): 
2021
-
Number of Pages: 
109
-
Publisher: 
Sveuciliste Sjever
-
Peer reviewed: 
Yes
-
Keywords: 
General Medicine; digital twin; criticality analysis; dynamic Bayesian network; knowledge-based maintenance; RAMS²
-
Abstract: 
The digitalisation of the value chain promotes sophisticated virtual product models known as digital twins (DT) in all asset-life-cycle (ALC) phases. These models. however, fail on representing the entire phases of asset-life-cycle (ALC), and do not allow continuous life-cycle-costing (LCC). Hence, energy efficiency and resource optimisation across the entire circular value chain is neglected. This paper demonstrates how ALC optimisation can be achieved by incorporating all product life-cycle phases through the use of a RAMS²-toolbox and the generation of a knowledge-based DT. The benefits of the developed model are demonstrated in a simulation, considering RAMS2 (Reliability, Availability, Maintainability, Safety and Sustainability) and the linking of heterogeneous data, with the help of a dynamic Bayesian network (DBN).
en
Research Areas: 
Digital Transformation in Manufacturing: 50%
Automation and Robotics: 50%
-
Science Branch: 
Wirtschaftswissenschaften
-
Appears in Collections:
Article

Show full item record

Page view(s)

58
checked on Nov 28, 2023

Google ScholarTM

Check