Details
Original language | English |
---|---|
Pages (from-to) | 4137-4158 |
Number of pages | 22 |
Journal | International Journal of Production Research |
Volume | 60 |
Issue number | 13 |
Publication status | Published - 5 Apr 2022 |
Abstract
operations management. Sustainability requirements and digitalisation opportunities both demand and suggest systematic, flexible, and economically efficient design and operation of the regeneration process chains. This multi-disciplinary case study documents the design and operation of
a cyber-physical system demonstrator for individual, flexible and economically optimised maintenance, repair, and overhaul (MRO) actions on extremely valuable components of aircraft engines: high-pressure turbine blades. This system demonstrator hence brings together research results from
different disciplines considered jointly in the German Collaborative Research Centre 871 ‘ProductRegeneration’. To cope with the substantial variability in used-good damage patterns and the resulting MRO actions, the system demonstrator operates with a virtual layer and uses a virtual twin
of the object to be regenerated. In addition to a functional simulation, a central component of that virtual layer is a project-scheduling-based decision support system used to both select the MRO actions and control the shop floor. This paper hence describes how recent research results can be combined to achieve innovative, efficient, and sustainable regeneration processes.
Keywords
- Cyber-physical systems, condition-based maintenance, decision support systems, maintenance, repair, and overhaul, project scheduling, virtual twin
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: International Journal of Production Research, Vol. 60, No. 13, 05.04.2022, p. 4137-4158.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A regeneration process chain with an integrated decision support system for individual regeneration processes based on a virtual twin
AU - Kellenbrink, Carolin
AU - Nübel, Nicolas
AU - Schnabel, André
AU - Gilge, Philipp
AU - Seume, Jörg Reinhart
AU - Denkena, Berend
AU - Helber, Stefan
N1 - Funding Information: The authors are grateful for the support provided for this research, which was conducted within the Collaborative Research Centre 871 ‘Regeneration of complex durable goods’, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)–SFB 871/3–119193472.
PY - 2022/4/5
Y1 - 2022/4/5
N2 - Regeneration processes of complex capital goods such as components of aircraft engines are highly complex and require a multi-disciplinary perspective, bringing together expertise from different fields such as production engineering, image-based measuring technology, turbomachinery, andoperations management. Sustainability requirements and digitalisation opportunities both demand and suggest systematic, flexible, and economically efficient design and operation of the regeneration process chains. This multi-disciplinary case study documents the design and operation ofa cyber-physical system demonstrator for individual, flexible and economically optimised maintenance, repair, and overhaul (MRO) actions on extremely valuable components of aircraft engines: high-pressure turbine blades. This system demonstrator hence brings together research results fromdifferent disciplines considered jointly in the German Collaborative Research Centre 871 ‘ProductRegeneration’. To cope with the substantial variability in used-good damage patterns and the resulting MRO actions, the system demonstrator operates with a virtual layer and uses a virtual twinof the object to be regenerated. In addition to a functional simulation, a central component of that virtual layer is a project-scheduling-based decision support system used to both select the MRO actions and control the shop floor. This paper hence describes how recent research results can be combined to achieve innovative, efficient, and sustainable regeneration processes.
AB - Regeneration processes of complex capital goods such as components of aircraft engines are highly complex and require a multi-disciplinary perspective, bringing together expertise from different fields such as production engineering, image-based measuring technology, turbomachinery, andoperations management. Sustainability requirements and digitalisation opportunities both demand and suggest systematic, flexible, and economically efficient design and operation of the regeneration process chains. This multi-disciplinary case study documents the design and operation ofa cyber-physical system demonstrator for individual, flexible and economically optimised maintenance, repair, and overhaul (MRO) actions on extremely valuable components of aircraft engines: high-pressure turbine blades. This system demonstrator hence brings together research results fromdifferent disciplines considered jointly in the German Collaborative Research Centre 871 ‘ProductRegeneration’. To cope with the substantial variability in used-good damage patterns and the resulting MRO actions, the system demonstrator operates with a virtual layer and uses a virtual twinof the object to be regenerated. In addition to a functional simulation, a central component of that virtual layer is a project-scheduling-based decision support system used to both select the MRO actions and control the shop floor. This paper hence describes how recent research results can be combined to achieve innovative, efficient, and sustainable regeneration processes.
KW - Cyber-physical systems
KW - condition-based maintenance
KW - decision support systems
KW - maintenance, repair, and overhaul
KW - project scheduling
KW - virtual twin
UR - http://www.scopus.com/inward/record.url?scp=85129174752&partnerID=8YFLogxK
U2 - 10.1080/00207543.2022.2051089
DO - 10.1080/00207543.2022.2051089
M3 - Article
VL - 60
SP - 4137
EP - 4158
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 13
ER -