NIST:一种标准导向的产品循环性评估指标形式化方法(2025) 10页

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A Standards-Guided Approach to Formalizing
Product Circularity Assessment Metrics
Junwon Ko
1(
B
)
, Sandwana Sneethan
1
, Gisele Bortolaz Guedes
1
,
Fazleena Badurdeen
1
,I.S.Jawahir
1
, Buddhika Hapuwatte
2
, and K. C. Morris
2
1
Institute for Sustainable Manufacturing (ISM) and Department of Mechanical and Aerospace
Engineering, University of Kentucky, Lexington, KY, USA
jko248@uky.edu
2
National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
Abstract. The industrial transition towards a more sustainable Circular Econ-
omy
(CE) emphasizes the need for products that align with CE principles and
robust methods for assessing how circular they are. However, ambiguities between
metrics vs. indicators are not yet addressed in the current discussion of product
circularity assessment (PCA). Most PCA methods also lack clarity in the met-
rics used, including their selection and description, which leads to confusion and
limited industry adoption. To address these gaps, this paper proposes clear defini-
tions for indicators and metrics and adapts standards to establish a structured
approach for developing PCA metrics. This process involves establishing the
objective or purpose of each metric, identifying candidate metrics from literature
sources or existing PCA methods, and defining them with detailed context (e.g.,
description, formula, range) and content information (e.g., notes, references, stan-
dards/guidelines). To effectively compile and communicate the developed metrics,
an Excel-based database consisting of attributes, indicators, and metrics (AIM)
was developed and presented. Over 80 relevant metrics for measuring product
circularity were identified, characterized, and organized under the AIM database.
The standards-guided approach and database proposed in this paper formalize the
development of metrics for PCA and aid data collection processes, enhancing their
practical application in the industry. The findings in this paper further contribute
to the successful transition toward product-level CE.
Keywords: Circular Economy · Product Circularity · Indicators · Metrics
1 Introduction
The extraction and processing of resources are continuously increasing to meet the
demands of a growing population. These resources are currently extracted, processed,
consumed, and disposed of in a manner that leads to the triple planetary crisis: climate
change, biodiversity loss, and pollution [1]. Circular Economy (CE) addresses this prob-
lem
by establishing closed-loop flows of resources through value recovery, retention, and
enhancement [2]. In CE, restoration and regeneration practices avoid the loss of value
and
materials at end-of-life (EoL). Restoration focuses on maximizing the lifespan of
© The Author(s) 2025
H. Kohl et al. (Eds.): GCSM 2024, LNME, pp. 864–872, 2025.
https://doi.org/10.1007/978-3-031-93891-7
_95
Full citation:
Ko, J. et al. (2025). A Standards-Guided Approach to Formalizing Product Circularity Assessment Metrics.
In: Kohl, H., Seliger, G., Dietrich, F., Vien, H.T. (eds) Decarbonizing Value Chains. GCSM 2024.
Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-93891-7_95
资源描述:

这篇论文提出了一种基于标准的方法来规范产品循环性评估指标,以解决当前产品循环性评估(PCA)中指标与度量之间的模糊性以及现有方法中度量选择和描述不清晰的问题。 1. **背景与相关工作**:介绍了产品循环性评估框架的发展,以及国际标准化组织(ISO)和美国材料与试验协会(ASTM)等发布的用于定义关键绩效指标(KPI)的标准和相关学术研究。 2. **方法与成果** - **定义指标和度量**:指标是提供性能信息或描述属性状态的特定表达式,度量是衡量指标的手段。 - **确定和描述PCA指标的方法**:基于相应的属性和指标建立度量目标,从现有文献和/或PCA方法中识别候选度量,必要时使用ISO 22400标准中的信息类别定义新度量,并通过利益相关者参与确保度量的有效性和可实施性。 - **开发PCA指标和AIM数据库**:确定并描述了80多个相关的PCA指标,开发了一个基于Excel的数据库,以详细有效地传达选定的指标。 3. **结果讨论**:明确指标和度量之间的区别可以解决当前的模糊性,AIM数据库是清晰传达如何计算和解释每个度量的有效工具,有助于提高指标的准确性和可靠性,促进更好的决策。 4. **结论和未来工作**:通过提出清晰的描述解决了指标和度量之间的模糊性,通过基于标准的方法和结构化的AIM数据库规范了PCA指标的开发,提高了其实用性和行业采用率。未来工作将专注于完成与几家全球消费电子OEM的案例研究,以验证和完善AIM框架和数据库。

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