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A system-of-systems framework for digital twin-enabled real-time sustainability reporting

デジタルツインによるリアルタイム・サステナビリティ報告のためのシステムオブシステムズ・フレームワーク (AI 翻訳)

Yujia Luo, Juan Ramón Candia, PD Ball

Figshare📚 査読済 / ジャーナル2026-07-29#開示インフラ経営インパクト: 資金調達対象セクター: manufacturing
DOI: 10.6084/m9.figshare.33116264
原典: https://doi.org/10.6084/m9.figshare.33116264

🤖 gxceed AI 要約

日本語

デジタルツイン(DT)と企業のサステナビリティ報告(SR)を統合するフレームワークを提案。プロセスレベルのDTデータと施設レベルの報告データの不整合を整理し、Mapping・Matching・Measuring・Modellingの4ステップで両システムを橋渡しする手法を示す。実例や簡易モデルで可能性を検証し、製造業の報告業務と運用改善の連動を目指す。

English

This paper proposes a System-of-Systems framework that integrates operational Digital Twins (DTs) with corporate sustainability reporting (SR). It identifies data mismatches between process-level DT data and periodic facility-level SR data, and offers a four-step mapping, matching, measuring, and modelling approach. The framework enables manufacturers to use operational insights for mandatory disclosures and to feed reporting insights back into performance improvement.

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開示基準や有価証券報告書でのサステナビリティ情報の拡充が進む中、製造現場のリアルタイムデータを報告に活かす本フレームワークは企業の開示負担軽減につながる可能性がある。ただし、具体的な基準適合性の検証は今後の課題。

In the global GX context

With CSRD and ISSB now demanding more granular and forward-looking sustainability data, this framework offers a pathway for manufacturing firms to link shop-floor digital twins with corporate disclosure processes. It addresses the periodic-versus-real-time data gap that many reporters face, though it remains conceptual and requires sector-specific validation.

👥 読者別の含意

🔬研究者:DTとSRを結ぶ理論的枠組みとして、今後の実証研究の出発点にできる

🏢実務担当者:工場の操業データを開示用に変換するプロセスの設計に参考になる

📄 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 optimisation, 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, Modelling) enabling systematic translation between two independent systems. The framework demonstrates how manufacturing systems DTs can both supply and respond to SR outputs. Examples drawn from interviews, a simplified manufacturing system, and an illustrative 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–SR framework lies in both modelling advancement and management practice.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。