Quantifying Circularity Through Product Lifetime Extension (PLE) Using Life Cycle Assessment (LCA)
ライフサイクルアセスメント（LCA）を用いた製品寿命延長（PLE）による循環性の定量化 (AI 翻訳)
Yasemin Ebru Atmaca, Päivi Kivikytö-Reponen, J. Halme
🤖 gxceed AI 要約
日本語
本研究は、製造業における保守駆動型の製品寿命延長（PLE）戦略の環境影響をLCAで定量化した。使用段階が主要な影響源であることを特定し、保守による寿命延長モデルを開発。結果、総影響は増加するが、生産単位・サービス年あたりの正規化影響は58%減少し、資源効率が向上することを示した。循環経済戦略への保守の組み込みの重要性を強調。
English
This study quantifies environmental impacts of maintenance-driven product lifetime extension (PLE) in manufacturing using LCA. It finds that while total impacts increase with longer use, normalized impacts per unit of production and per year of service life decrease by 58%, improving resource efficiency. Highlights the importance of incorporating maintenance into circularity frameworks.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の製造業では、製品寿命延長による資源効率向上は、循環経済政策やカーボンニュートラル目標に貢献する。LCAに基づく意思決定は、企業の環境報告やサステナビリティ開示（SSBJ等）にも有用。
In the global GX context
Globally, this research supports circular economy strategies and life cycle-based decision-making, aligning with frameworks like the EU's Circular Economy Action Plan and contributing to sustainability reporting standards (GRI, CSRD).
👥 読者別の含意
🔬研究者:Provides a quantitative method for assessing PLE strategies, useful for LCA and circular economy researchers.
🏢実務担当者:Manufacturing firms can use the model to evaluate maintenance strategies for environmental and resource efficiency improvements.
🏛政策担当者:Informs policies promoting circular economy and product lifetime extension, highlighting environmental benefits.
📄 Abstract（原文）
This study quantified environmental impacts of circularity strategies in the manufacturing industry, focusing on maintenance-driven product lifetime extension (PLE) using Life Cycle Assessment (LCA). The analyzed case builds on earlier work, which showed that the product’s lifetime was shorter than the industry average lifetime and that the use phase was the dominant contributor to overall environmental impacts, identifying it as a key area for improvement. A computational code was developed to model maintenance-driven lifetime extension scenarios and to calculate selected total and normalized environmental impacts for the studied industrial process equipment. The model assumes maintenance-related impacts are smaller than the impacts avoided through reduced new production. Results show that while total impacts increase with longer use, normalized impacts per unit of production and per year of service life decrease by 58%, improving resource efficiency. Maintenance-driven PLE supports circular economy (CE) strategies by slowing material flows and extending product use. The findings highlight the importance of incorporating maintenance into circularity frameworks and life cycle-based decision-making.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.mdpi.com/2571-8797/8/4/124/pdf?version=1785988984first seen 2026-08-09 05:47:43
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