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 -