Brundage Michael P, Bernstein William Z, Hoffenson Steven, Chang Qing, Nishi Hidetaka, Kliks Timothy, Morris K C
National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Stevens Institute of Technology, Babbio Center, Hoboken, NJ 07030, USA.
J Clean Prod. 2018;187. doi: 10.1016/j.jclepro.2018.03.187.
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 Instead, designers rely on aggregated, often outdated information or make decisions by analogy (e.g., a similar manufacturing process for a similar product yielded X and Y results).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.
制造业中的环境可持续性信息在产品生命周期的各个阶段之间不易共享。特别是，在设计阶段通常无法获得用于评估产品可持续性的可靠的与制造相关的信息。相反，设计师依赖汇总的、往往过时的信息，或者通过类推来做出决策（例如，类似产品的类似制造工艺产生了X和Y结果）。然而，智能制造和物联网有潜力通过数据和知识共享弥合设计与制造之间的差距。本文分析了环境可持续性评估方法，以便在设计的早期阶段做出更准确的决策。这些技术和方法根据它们在产品生命周期中应用的阶段进行分类，如制造应用系统集成（SIMA）参考架构所描述的那样。此外，还确定了在设计过程中使标准数据表示保持一致以促进可持续性评估的机会。
