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  5. Context-based derivation of holistic sustainability requirements in the early phase of product development

Context-based derivation of holistic sustainability requirements in the early phase of product development

Publication date
2024-05-07
Document type
Konferenzbeitrag
Author
Rusch, Fabian  
Demke, Niels  
Willems, Wilke  
Mantwill, Frank  
Organisational unit
Maschinenelemente und Rechnergestützte Produktentwicklung  
DOI
10.1016/j.procir.2024.01.045
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/22808
Conference
31st CIRP Conference on Life Cycle Engineering (LCE 2024) ; Turin, Italy ; June 19–21, 2024
Publisher
Elsevier
Series or journal
Procedia CIRP
ISSN
2212-8271
Periodical volume
122
First page
306
Last page
311
Peer-reviewed
✅
Part of the university bibliography
✅
Additional Information
Language
English
Abstract
Gaining knowledge about the sustainable context is fundamental for the success of a product development, as a lack of knowledge limits the possibilities of innovation. The contextual boundaries of a system often do not adequately describe the influence on sustainability, so that product developers are unaware of problem shifts within and between the areas of impact on sustainability. For reasons of complexity, a therefore needed holistic captured system context is insufficiently taken into account in existing approaches. Within the scope of this article, a framework for Sustainable Context Engineering is developed, that provides a formalization of a holistic sustainable system context for the analysis and synthesis of relations in product development. Furthermore, a requirements methodology based on SPES 2020 is proposed, which supports the decomposition of requirements by model-based templates via a subtractive structure. This promotes communication and situational awareness among developers in order to influence the sustainability goals in the early phase of the product development process. Further research will be made in order to implement the approach in a model-based manner and to define a finite number of measurement parameters based on interdisciplinary sustainability models.
Description
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
Version
Published version
Access right on openHSU
Metadata only access

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