A Cradle-to-Gate Product Carbon Footprint Calculation Method Based on Trusted Data Space
信頼できるデータ空間に基づくクレードル・トゥ・ゲート製品カーボンフットプリント算定方法 (AI 翻訳)
Qiansi Tu, Chengjie Wu, Dianjun Fang, Joshua Gelhaar, Rolf Schmidt, Zhuoyuan Zheng, Jiajie Shao
🤖 gxceed AI 要約
日本語
製造業における製品カーボンフットプリント（PCF）算定の課題を、信頼できるデータ空間技術で解決する手法を提案。組織間での安全なデータ交換とデータ主権を確保し、サプライチェーン全体での信頼性の高い排出データ統合を実現する。標準化されたクレードル・トゥ・ゲート算定方法とアーキテクチャを設計し、ケーススタディで有効性を検証。
English
This paper proposes a cradle-to-gate Product Carbon Footprint (PCF) calculation method using trusted data space technology to address fragmented data and cross-organizational exchange challenges. It designs a credible PCF exchange architecture with data sovereignty, standardizes the calculation method, and validates feasibility through a case study.
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
日本では、サプライチェーン排出量の算定がSSBJ開示やScope 3対応で重要。本手法はデータ空間を活用し、信頼性の高いPCFデータ共有を可能にし、国内製造業の排出量可視化と開示品質向上に貢献する。
In the global GX context
Globally, this aligns with ISSB and CSRD requirements for supply chain emissions. The trusted data space approach offers a novel solution for reliable cross-organizational carbon data exchange, supporting credible Scope 3 reporting and transition finance.
👥 読者別の含意
🔬研究者:Provides a framework for integrating trusted data spaces into carbon accounting, useful for advancing supply chain emissions research.
🏢実務担当者:Offers a practical method for companies to improve PCF data reliability and meet customer disclosure requests.
🏛政策担当者:Highlights the role of data infrastructure in enabling credible carbon reporting, relevant for shaping disclosure standards.
📄 Abstract（原文）
Sustainability and carbon emission reduction have become critical priorities in the manufacturing industry. As the Product Carbon Footprint (PCF) emerges as a key indicator for sustainable product development and supply chain management, there is an increasing demand for accurate and trustworthy PCF data across the entire supply chain. However, conventional PCF calculation methods are often constrained by fragmented data sources, heterogeneous data quality, and insufficient support for cross-organizational data exchange, which collectively undermine the precision and reliability of the resulting carbon footprint assessments. To address these limitations, this paper proposes a cradle-to-gate PCF calculation Method based on trusted data space technology. By incorporating secure data exchange mechanisms and enforcing data sovereignty principles, the proposed approach enables reliable integration and sharing of carbon emission data across organizational boundaries. The main contributions of this study are: (1) A credible PCF exchange architecture based on trusted data spaces is designed and implemented; (2) A standardized Cradle-to-Gate PCF calculation method is proposed; (3) The effectiveness and feasibility of the proposed method are validated through a case study.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1109/icdir66749.2025.11281107first seen 2026-08-02 18:19:25
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