The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Quantitative benefits of the digital product passport and data sharing in remanufacturing
Open accessAbstract
As a part of the circular economy – which aims at closing the loop of materials – remanufacturing is getting more and more attention in recent years. With remanufacturing, companies are carrying out a recovery operation of used products with the aim of rebuilding a like-new condition. As various members of the supply chain are involved in this process, and product data needed for optimal operation is often missing, remanufacturing processes can become uncertain and hard to optimize. The goal of a new European Commission initiative, the digital product passport (DPP), is to facilitate information exchange between stakeholders, in order to reduce uncertainties. DPP, assigned to a product, could contain information about e.g., its origin, composition, repair and dismantling possibilities. In the paper, the essence of DPP is introduced, and a case study is presented to show the qualitative benefits of the increased amount of information about the product. A discrete event-based simulation model of three real production lines that are (re)manufacturing cylinder heads is presented. Experiments are also conducted, where quantitative benefits of using DPP are highlighted, such as decreasing unnecessary production time, increasing ratio of remanufactured parts and increasing output.
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“Furthermore, DPP can assist remanufacturing by providing information on product origin, composition, repair, and dismantling instructions from original manufacturers (Szaller et al. 2023).”
From Digital product passport for sustainable and circular supply chain management: a structured review of use cases (2024) · cites this paper as Szaller et al. 2023
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Sorted by citations
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“Furthermore, DPP can assist remanufacturing by providing information on product origin, composition, repair, and dismantling instructions from original manufacturers (Szaller et al. 2023).”
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Metadata
- Authors
- Szaller, Á., Gallina, V., Gal, B., Gaal, A., & Fries, C.
- Affiliations
- HUN-REN Institute for Computer Science and Control (HU)
- Fraunhofer Austria (AT)
- Fraunhofer Institute for Manufacturing Engineering and Automation (DE)
- Corresponding author
- Szaller, Ádám
- Venue
- Procedia CIRP
- Publisher
- Elsevier BV
- Published
- 2023
- Volume
- 120
- Pages
- 928-933
- ISSN
- 2212-8271 (ISSN-L)
- OpenAlex
- W4390827482
- Cited by
- 25
- References
- 14
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 8
- FWCI
- 5.39
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia CIRP (publishedVersion, cc-by-nc-nd)
- SZTAKI Publication Repository (Hungarian Academy of Sciences) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
- Funders
- National Research Development and Innovation Office
- European Commission (739592)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Keywords
- digital product passport, remanufacturing, circular economy, data sharing, information sharing, production line simulation, production time reduction, supply chain uncertainty
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