A System-of-Systems Framework for Digital Twin enabled Real-Time Sustainability Reporting
システムオブシステムズフレームワークによるデジタルツイン活用型リアルタイムサステナビリティ報告 (AI 翻訳)
Yujia Luo, Juan Ramon Candia Jorquera, Peter David Ball
🤖 gxceed AI 要約
日本語
本論文は、製造現場のデジタルツイン（DT）と企業のサステナビリティ報告（SR）を統合するシステムオブシステムズフレームワークを提案する。文献分析と専門家インタビューに基づき、プロセスレベルのDTデータとファシリティレベルのSRデータのミスマッチを特定し、マッピング、マッチング、測定、モデリングの4ステップで両システムを連携させる。これにより、DTがSRデータを提供し、SRの洞察がDTによる運用改善を促進するサイクルを実現する。
English
This paper proposes a System-of-Systems framework to integrate manufacturing Digital Twins (DTs) with corporate Sustainability Reporting (SR). Based on literature analysis and expert interviews, it identifies data mismatches between process-level DT data and facility-level SR data, and develops a four-step process (Mapping, Matching, Measuring, Modeling) for systematic translation. The framework enables DTs to supply SR outputs and SR insights to inform DT-enabled operational improvements, bridging the gap between operational technology and mandatory disclosures.
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SSBJ（サステナビリティ基準委員会）の基準が2025年から適用開始され、企業の報告負荷が増大している。本フレームワークは、工場レベルのデジタルツインデータを活用し、リアルタイムでの報告対応を可能にする点で、日本の製造業の負担軽減と報告品質向上に貢献する。
In the global GX context
Globally, mandatory sustainability reporting frameworks such as ISSB S1/S2, CSRD, and SEC climate rules require reliable, auditable data. This framework addresses the disconnect between operational digital twins and reporting systems, offering a scalable approach for real-time, data-driven disclosures that can enhance both compliance and operational efficiency.
👥 読者別の含意
🔬研究者:Provides a novel theoretical framework for integrating digital twins with sustainability reporting, opening avenues for empirical testing and extension to other sectors.
🏢実務担当者:Offers a structured methodology to leverage existing digital twin investments for mandatory sustainability reporting, reducing manual effort and improving data accuracy.
🏛政策担当者:Highlights the need for standardized data interfaces between operational systems and reporting frameworks to enable automated, real-time compliance.
📄 Abstract（原文）
The convergence of Industry 5.0 imperatives, sustainability challenges, and compulsory reporting standards necessitate advances in manufacturing analysis. Digital Twins (DTs) enable real-time manufacturing monitoring and optimization, yet remain disconnected from corporate sustainability reporting (SR). This separation restricts leveraging operational data for mandatory disclosures and seeking operational improvements from sustainability reporting insights. DT research has predominantly focused on energy efficiency, with limited attention to broader environmental dimensions. We address this gap by developing a System-of-Systems framework integrating operational DTs with SR requirements. The gap, identified through literature analysis, is confirmed using expert interviews. We identify data mismatches between DT systems with process-level data and SR using periodic, facility-level data. Applying System-of-Systems theory, we develop a four-step framework (Mapping, Matching, Measuring, Modeling) enabling systematic translation between two independent systems. The framework demonstrates how manufacturing systems DTs can both supply and respond to SR outputs. Interview cited examples using a simplified manufacturing system and exemplified SR standard demonstrate applicability. The outcome is a structured approach for integrating DTs to support SR generation, and for SR insights to inform DT-enabled operational scenarios for performance enhancement. The contribution of the DT and SR framework is both to modeling advancement as well as management practice.
🔗 Provenance — このレコードを発見したソース
- openalex https://orcid.org/0000-0002-1256-9339>first seen 2026-07-18 06:18:42
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