Bausch, Phillip ; Weyand, Astrid ; Weigold, Matthias ; Metternich, Joachim
Hrsg.: Herberger, David ; Hübner, Marco ; Stich, Volker (2023)
Design model for traceability-supported assessment of product carbon footprint.
doi: 10.15488/13430
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The established approaches for calculating the Product Carbon Footprint (PCF) based on Life Cycle Assessment (LCA) only allow a cause-related determination of used resources to a limited extent. Even in situations where the direct measurement of resource consumption is recommended, PCF calculation is mainly carried out by means of allocation or estimations in industrial practice. In contrast, the use of traceability data offers promising opportunities for increasing the component specific transparency by linking continuously recorded resource flows and data available in software systems with time stamps and component/order IDs (traceability data). Based on the available component-specific database, companies can identify drivers and hotspots of carbon emissions for individual products and derive targeted measures to reduce these emissions. This paper outlines a concept for a traceability-supported design model to determine the PCF based on the existing framework of LCA. Therefore, a literature review is conducted to identify and analyze existing concepts regarding the determination of PCF as well as requirements for a traceability-supported approach. By conducting an expert survey, these requirements derived from literature are evaluated and prioritized. Finally, the results are used to develop a design model for a traceability supported approach to determine the PCF and to indicate future research needs.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Herausgeber: | Herberger, David ; Hübner, Marco ; Stich, Volker |
| Autor(en): | Bausch, Phillip ; Weyand, Astrid ; Weigold, Matthias ; Metternich, Joachim |
| Art des Eintrags: | Bibliographie |
| Titel: | Design model for traceability-supported assessment of product carbon footprint |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Hannover |
| Verlag: | publish-Ing. |
| Buchtitel: | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 |
| DOI: | 10.15488/13430 |
| URL / URN: | https://www.repo.uni-hannover.de/handle/123456789/13540 |
| Kurzbeschreibung (Abstract): | The established approaches for calculating the Product Carbon Footprint (PCF) based on Life Cycle Assessment (LCA) only allow a cause-related determination of used resources to a limited extent. Even in situations where the direct measurement of resource consumption is recommended, PCF calculation is mainly carried out by means of allocation or estimations in industrial practice. In contrast, the use of traceability data offers promising opportunities for increasing the component specific transparency by linking continuously recorded resource flows and data available in software systems with time stamps and component/order IDs (traceability data). Based on the available component-specific database, companies can identify drivers and hotspots of carbon emissions for individual products and derive targeted measures to reduce these emissions. This paper outlines a concept for a traceability-supported design model to determine the PCF based on the existing framework of LCA. Therefore, a literature review is conducted to identify and analyze existing concepts regarding the determination of PCF as well as requirements for a traceability-supported approach. By conducting an expert survey, these requirements derived from literature are evaluated and prioritized. Finally, the results are used to develop a design model for a traceability supported approach to determine the PCF and to indicate future research needs. |
| Freie Schlagworte: | design model, process transparency, product carbon footprint, resource efficiency, traceability systems |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > Management industrieller Produktion 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > TEC Fertigungstechnologie |
| Hinterlegungsdatum: | 09 Mai 2023 08:51 |
| Letzte Änderung: | 09 Mai 2023 12:48 |
| PPN: | 507630289 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum