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

AI Article Synopsis

  • - The manufacturing industry struggles to share reliable sustainability information throughout the product lifecycle, particularly at the design stage where relevant data is often missing or outdated.
  • - Designers typically rely on old or generalized information to make decisions, which can lead to less accurate sustainability assessments for new products.
  • - The paper explores how smart manufacturing and the Internet of Things can improve data sharing and proposes methods for better aligning sustainability assessments with the design process, referencing the Systems Integration of Manufacturing Applications (SIMA) framework.

Article Abstract

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 Instead, designers rely on aggregated, often outdated information or make decisions by analogy (e.g., a similar manufacturing process for a similar product yielded X and Y results).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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512991PMC
http://dx.doi.org/10.1016/j.jclepro.2018.03.187DOI Listing

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