Analyzing environmental sustainability methods for use earlier in the product lifecycle.

Autor: Brundage MP; National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA., Bernstein WZ; National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA., Hoffenson S; Stevens Institute of Technology, Babbio Center, Hoboken, NJ 07030, USA., Chang Q; Stony Brook University, Stony Brook, NY 11794, USA., Nishi H; Stony Brook University, Stony Brook, NY 11794, USA., Kliks T; Stevens Institute of Technology, Babbio Center, Hoboken, NJ 07030, USA., Morris KC; National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Jazyk: angličtina
Zdroj: Journal of cleaner production [J Clean Prod] 2018; Vol. 187.
DOI: 10.1016/j.jclepro.2018.03.187
Abstrakt: Environmental sustainability information in the manufacturing industry is not easily shared between stages in the product lifecycle. In particular, reliable manufacturing-related information for assessing the sustainability of a product is often unavailable at the design stage. Instead, designers rely on aggregated, often outdated information or make decisions by analogy (e.g., a similar manufacturing process for a similar product yielded X and Y results). However, smart manufacturing and the Internet of Things have potential to bridge the gap between design and manufacturing through data and knowledge sharing. This paper analyzes environmental sustainability assessment methods to enable more accurate decisions earlier in design. The techniques and methods are categorized based on the stage they apply to in the product lifecycle, as described by the Systems Integration of Manufacturing Applications (SIMA) reference architecture. Furthermore, opportunities for aligning standard data representation to promote sustainability assessment during design are identified.
Competing Interests: 1Equal contribution by both authors.
Databáze: MEDLINE
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