dc.identifier.uri |
http://dx.doi.org/10.15488/13463 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/13573 |
|
dc.contributor.author |
Stratmann, Lukas
|
eng |
dc.contributor.author |
Hoeborn, Gerrit
|
eng |
dc.contributor.author |
Pahl, Christoph
|
eng |
dc.contributor.author |
Schuh, Günther
|
eng |
dc.contributor.editor |
Herberger, David
|
|
dc.contributor.editor |
Hübner, Marco
|
|
dc.contributor.editor |
Stich, Volker
|
|
dc.date.accessioned |
2023-04-20T12:05:42Z |
|
dc.date.available |
2023-04-20T12:05:42Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Stratmann, L.; Hoeborn, G.; Pahl, C.; Schuh, G.: Classification of product data for a Digital Product Passport in the manufacturing industry. In: Herberger, D.; Hübner, M.; Stich, V. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1. Hannover : publish-Ing., 2023, S. 448-458. DOI: https://doi.org/10.15488/13463 |
eng |
dc.description.abstract |
The European Commission set out the goal of carbon neutrality by 2050, which shall be achieved by fostering the twin transition - sustainability through digitalization. A keystone in this transition is the implementation of a prospering Circular Economy (CE). However, product information required to establish a flourishing CE is hardly available or even accessible. The Digital Product Passport (DPP) offers a solution to that problem but in the current discussion, two separate topics are focused on: its architecture and its application on batteries. The content of the DPP has not been an essential part of the discussion, although access to high-quality data about a product's state, composition and ecological footprint is required to enable sustainable decision-making. Therefore, this paper presents a classification of product data for circularity in the manufacturing industry to emphasize the discussion about the DPP's content. Developed through a systematic literature review combined with a case-study-research based on common operational information systems, the classification comprises three levels with 62 data points in four main categories: (1) Product information, (2) Utilization information, (3) Value chain information and (4) Sustainability information. In this paper, the potential content structure of a DPP is demonstrated for a use case in the machinery sector. The contribution to the science and operations community is twofold: Building a guideline for DPP developers that require scientific input from available real-world data points as well as motivating manufacturers to share the presented data points enabling a circular product information management. |
eng |
dc.language.iso |
eng |
eng |
dc.publisher |
Hannover : publish-Ing. |
|
dc.relation.ispartof |
Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 1 |
|
dc.relation.ispartof |
10.15488/13418 |
|
dc.rights |
CC BY 3.0 DE |
eng |
dc.rights.uri |
http://creativecommons.org/licenses/by/3.0/de/ |
eng |
dc.subject |
Konferenzschrift |
ger |
dc.subject |
Circular Economy |
eng |
dc.subject |
Circular Ecosystems |
eng |
dc.subject |
Digital Product Passport |
eng |
dc.subject |
Information modeling |
eng |
dc.subject |
Circular product management |
eng |
dc.subject |
Information systems |
eng |
dc.subject.ddc |
620 | Ingenieurwissenschaften und Maschinenbau
|
eng |
dc.title |
Classification of product data for a Digital Product Passport in the manufacturing industry |
eng |
dc.type |
BookPart |
eng |
dc.type |
Text |
eng |
dc.relation.essn |
2701-6277 |
|
dc.bibliographicCitation.firstPage |
448 |
eng |
dc.bibliographicCitation.lastPage |
458 |
eng |
dc.description.version |
publishedVersion |
eng |
tib.accessRights |
frei zug�nglich |
eng |