A system architecting framework for cross-industry simulation platforms: maximizing integration efficiency in maritime decarbonization
海事脱炭素化におけるクロスインダストリーシミュレーションプラットフォームのためのシステムアーキテクチャリングフレームワーク：統合効率の最大化 (AI 翻訳)
Takuya Nakashima, Cem Guzelbulut, Ryota Wada, Bryan Moser
🤖 gxceed AI 要約
日本語
本研究は、海事脱炭素化に向けたクロスインダストリーシミュレーションプラットフォームのためのシステムアーキテクチャフレームワークを提案する。OPMとDSMを用いて接続カバレッジ指標を定義し、アドホックな開発と比較してアーキテクチャベースの戦略が約3倍の累積価値を生むことを示した。日本の18社からなるMODEコンソーシアムに適用し、Pareto効率的なロードマップを特定した。
English
This study proposes a quantitative system architecting framework for cross-industry simulation platforms for maritime decarbonization. Using OPM and DSM, it defines a connection coverage metric and shows that an architecture-based strategy yields more than three times higher cumulative value than ad hoc development, as demonstrated in the MODE consortium (18 Japanese companies).
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
本論文は、日本の18社からなるMODEコンソーシアムを事例として、海事脱炭素化のシミュレーションプラットフォーム開発に定量的なアーキテクチャ手法を提供する。日本政府のGX戦略や海運業界の脱炭素化目標に直接関連し、業界横断的な協調を促進する枠組みとして有用である。
In the global GX context
This paper offers a structured, quantitative method for developing cross-industry simulation platforms critical for decarbonization, with a strong case study from Japan. The framework is applicable globally to any complex system integration challenge, demonstrating how architecture-based planning maximizes return on modeling investment.
👥 読者別の含意
🔬研究者:Provides a quantitative framework for system architects to prioritize integration pathways in simulation platform development, with empirical validation.
🏢実務担当者:Offers corporate teams a roadmap to coordinate cross-industry modeling efforts, reducing synergy lag and increasing value from shared investments.
📄 Abstract（原文）
Abstract Industry-wide simulation platforms are increasingly needed to address complex societal challenges, such as decarbonization. However, their development is often hindered by diverse stakeholder interests, fragmented models, and evolving regulations. The Maritime and Ocean Digital Engineering Laboratory (MODE), an 18-company industry–academia consortium, exemplifies this challenge in developing a shared simulation platform for maritime decarbonization. This study proposes a quantitative system architecting framework to prioritize development pathways, shifting the focus toward architecture-based system integration. The framework employs object-process methodology (OPM) and design structure matrices (DSM) to define a connection coverage metric, which quantifies how effectively a set of models captures critical cross-domain interactions. Applying this framework to the MODE project, we conduct a comparative simulation between ad hoc and architecture-based development strategies. The analysis reveals that the former suffers from significant periods of “synergy lag,” during which development effort accumulates without realizing system-level desirability due to uncoordinated modeling. In contrast, the proposed framework identifies a Pareto-efficient roadmap that minimizes this lag. Monte Carlo simulations show that architecture-based planning generates value both earlier and more efficiently than random bottom-up construction. When aggregated over the entire development horizon, the integrated impact of the architecture-based strategies is more than three times larger than that of the random bottom-up approach, indicating substantially higher cumulative value for the same modeling investment. The proposed framework thus provides systems engineers with a structured, quantitative method to build consensus and maximize the return on modeling investment in complex, cross-industry projects.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1007/s00773-026-01131-0first seen 2026-07-22 06:19:15
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。