Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces
信頼できるスマートファブのためのプロフェッショナルプロキシ：産業データスペースを通じたSafe and Sustainable by Design (SSbD)の拡大 (AI 翻訳)
H. Liao, Chang-Yi Kao, K. Ang
🤖 gxceed AI 要約
日本語
スマートファブ向けSSbDフレームワーク：ゼロトラスト環境でプロフェッショナルプロキシが稼働。FMLとTEEにより、データ主権を維持しつつCBAM等の規制遵守を自動化する5段階リレー方式を実装。半導体サプライチェーンのガバナンスボトルネック解消に貢献。
English
This paper introduces a zero-trust orchestration framework for Smart Fabs to comply with the EU's SSbD, CSDDD, and CBAM. Using Professional Proxies and industrial data spaces, it automates compliance verification via federated machine learning and trusted execution environments, enabling secure data sharing without exposing proprietary recipes. The framework resolves the Data Sovereignty Paradox and provides a pathway toward net-zero Industry 5.0.
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
日本の半導体製造企業（TSMC熊本等）にもEU規制（CBAM/CSDDD）の影響が及ぶ可能性があり、本フレームワークはデータ主権を維持しながら国際規制遵守を実現する方法論として参考になる。特に、SSBJ対応でサプライチェーン排出量開示が求められる中、プロキシ方式によるオートメーションは実務上有用。
In the global GX context
While focused on EU regulations, this framework addresses a universal challenge: balancing transparency and data privacy in sustainability reporting. For global semiconductor supply chains, it offers a technical blueprint for automating compliance with emerging regulations like ISSB and SEC climate rules, using federated learning and TEEs. This is particularly relevant for companies facing multi-jurisdictional disclosure requirements.
👥 読者別の含意
🔬研究者:This paper provides a novel application of federated learning and zero-trust architectures to sustainability compliance, bridging AI and disclosure infrastructure.
🏢実務担当者:Semiconductor facility managers can adopt the Professional Proxy model to automate SSbD and CBAM compliance while protecting proprietary data.
🏛政策担当者:The framework illustrates how regulators can design data spaces that enable verifiable compliance without mandatory data sharing, informing SSBJ and ISSB implementation.
📄 Abstract（原文）
The convergence of the 2026 European Union Safe and Sustainable by Design (SSbD) framework, Corporate Sustainability Due Diligence Directive (CSDDD), and Carbon Border Adjustment Mechanism (CBAM) introduce a severe governance bottleneck for advanced semiconductor manufacturing facilities ("Smart Fabs"). Regulatory compliance demands have surpassed the capacity of manual corporate reporting, creating a direct conflict between multi-stakeholder transparency and corporate data privacy. This paper addresses this challenge by introducing a zero-trust socio-technical orchestration framework that operationalizes a six-layer SSbD reference architecture within trustworthy industrial data spaces. We propose a shift from reactive automation to autonomous governance through"Professional Proxies"-role-based agentic workflows executing within hardware-isolated trust zones. Structured as an interoperable network protocol stack, the framework coordinates an automated, five-step"relay race"between Facility, Process Engineering, and Finance proxy teams to align factory-floor yield models with macro-level sustainability mandates. By executing Virtual Metrology (VM) predictions and Federated Machine Learning (FML) inside hardware-rooted Trusted Execution Environments (TEEs), this architecture resolves the Data Sovereignty Paradox, demonstrating how fabs can export cryptographically signed compliance tokens via International Data Spaces (IDS) connectors without exposing proprietary process recipes. Ultimately, this framework provides technology managers with a verifiable, evidence-based pathway toward resilient, net-zero Industry 5.0 ecosystems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.semanticscholar.org/paper/35edb758b5c17c74f2f3850e27f332b11aea1e27first seen 2026-06-13 04:58:51
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