Gallina, V., Gal, B., Szaller, A., Bachlechner, D., Ilie-Zudor, E., & Sihn, W. (2022). Reducing remanufacturing uncertainties with the digital product passport. In H. Kohl (Ed.), Conference Book - GCSM - 18th Global Conference on Sustainable Manufacturing “Manufacturing driving Circular Economy.” http://hdl.handle.net/20.500.12708/139649
E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management
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Published in:
Conference Book - GCSM - 18th Global Conference on Sustainable Manufacturing "Manufacturing driving Circular Economy"
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Date (published):
2022
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Event name:
18th Global Conference on Sustainable Manufacturing "Manufacturing driving Circular Economy"
en
Event date:
5-Oct-2022 - 7-Oct-2022
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Event place:
Berlin, Germany
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Number of Pages:
1
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Peer reviewed:
Yes
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Keywords:
digital product passport
en
simulation; evaluation; uncertainties
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Abstract:
In contrast to the linear production model, the circular economy aims to close the loop of
materials. One part of this approach is remanufacturing, which extends the lifetime of products.
Various stakeholders in the supply chain are involved in remanufacturing. This makes the management
and optimization of remanufacturing activities complex. The data required for optimization is often
missing, which leads to uncertainties. A new European Commission initiative, the digital product
passport (DPP), is believed to facilitate information exchange in the supply chain and cloud be a good
solution to reduce uncertainties. The primary purpose of this paper is the quantification and evaluation
of the advantages of the DPP. Based on real industrial data, a discrete event simulation model of a
remanufacturing system with three production lines was developed. The authors suppose the
hypothetical existence of a DPP and illustrate the benefits arising from its application.
