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Titel: Positive Impact Product Engineering (PIPE) Model - The way to net-positive sustainable products
VerfasserIn: Mörsdorf, Simon
Vielhaber, Michael
HerausgeberIn: Guo, Yuebin
Helu, Moneer
Sprache: Englisch
Titel: Procedia CIRP
Startseite: 474
Endseite: 479
Verlag/Plattform: Elsevier
Erscheinungsjahr: 2023
Erscheinungsort: Amsterdam
Konferenzort: New Brunswick, New Jersey, USA
Freie Schlagwörter: sustainable products
product design
development
positive impact product engineering model
holistic approach
life cycle thinking
systems thinking
DDC-Sachgruppe: 620 Ingenieurwissenschaften und Maschinenbau
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: Products have multiple impacts on the three pillars of sustainability, which can be assessed using a variety of methods. Existing sustainable design methods aim at reducing these mostly negative impacts. Combined with emerging compensation measures, there are possibilities to leave a net-positive footprint in certain categories, such as CO2-emissions. Positive Impact Product Engineering (PIPE) aims to extend this approach to all categories in all pillars to create an overall net-positive impact on the environment, society and economy. The PIPE model describes a four-phase product development process driven by an iterative sequence of synthesis activities that generate product properties, followed by analysis activities to assess impacts on the sustainability pillars. Through this optimization loop, positive impacts should be maximized, negative impacts should be avoided or reduced as much as possible, and in the final sequence, compensated for. By integrating synthesis and analysis results at the end of each phase, the way to net-positive products can be assured stepwise. The result of the product development process should be a fully analyzed product system that includes the business model, the entire product life cycle and all necessary value chains, so that the resulting impacts can be converted to net-positive using appropriate compensation measures.
DOI der Erstveröffentlichung: 10.1016/j.procir.2023.02.080
URL der Erstveröffentlichung: https://www.sciencedirect.com/science/article/pii/S2212827123000793
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-399633
hdl:20.500.11880/35973
http://dx.doi.org/10.22028/D291-39963
ISSN: 2212-8271
Datum des Eintrags: 16-Jun-2023
Bemerkung/Hinweis: Procedia CIRP, Volume 116, 2023, Pages 474-479
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Michael Vielhaber
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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