Integrating digital product passports in sustainable logistics: a conceptual framework for AGV and AMR systems
持続可能な物流におけるデジタルプロダクトパスポートの統合：AGVおよびAMRシステムの概念的枠組み (AI 翻訳)
Ali Bozkurt, Dimitri Petrik, Samed Ajdinović, Robert Schulz, Oliver Riedel
🤖 gxceed AI 要約
日本語
本研究は、ESPRに基づくDPPをAGV/AMRベースの社内物流システムに統合する課題と利点を、15件の専門家インタビューから分析。標準化の不整合、ITセキュリティ要件の不均一、ブラウンフィールド環境でのライフサイクル情報の断片化という3つの課題を特定し、AASに整合したデータプラットフォーム上でDPPを管理する概念的枠組みを提案する。
English
This study investigates the integration of Digital Product Passports (DPPs) into AGV/AMR-based intralogistics systems, drawing on 15 expert interviews. It identifies three key challenges: inconsistent standardization, heterogeneous IT security, and fragmented lifecycle data, especially in brownfield settings. The authors propose a conceptual framework using AAS-aligned semantic linking on a data platform to enable scalable data sharing and lifecycle-extension use cases.
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、ESPR対応がEU市場向け輸出企業に影響する可能性があり、DPP導入はサプライチェーン全体でのカーボンフットプリント算定や開示要件（SSBJなど）への対応に直結する。本研究の枠組みは、国内の物流機器メーカーやシステムインテグレーターが国際規格に適合するための示唆を与える。
In the global GX context
This paper contributes to the global discourse on DPP implementation under the EU ESPR, extending it to intralogistics. It offers a framework that aligns with AAS and addresses interoperability challenges, relevant for companies facing CSRD and other disclosure requirements. The findings highlight the need for standardized data sharing to support product carbon footprint calculations across value chains.
👥 読者別の含意
🔬研究者:Provides a conceptual framework and empirical insights on DPP integration in intralogistics, useful for further research on interoperability and lifecycle data management.
🏢実務担当者:Offers guidance for logistics equipment manufacturers and integrators on implementing DPPs to meet regulatory requirements and enable data-driven services.
🏛政策担当者:Highlights standardization gaps and security issues that policymakers should address to facilitate DPP adoption across industries.
📄 Abstract（原文）
The forthcoming Ecodesign for Sustainable Products Regulation (ESPR) requires improved lifecycle data availability to support Product Carbon Footprint (PCF) and Corporate Carbon Footprint (CCF) calculations. Digital Product Passports (DPPs) are mandatory for structuring and sharing sustainability-relevant product information across value chains in selected domains, such as batteries. However, DPP integration in intralogistics remains underexplored, especially for Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs). At the same time, interoperability standards such as the Asset Administration Shell (AAS) and existing AGV/AMR data models predominantly address operational information and provide limited coverage of product-management and ecological data required by DPPs. This study draws on 15 semi-structured expert interviews across the intralogistics ecosystem (manufacturers, software providers, integrators, suppliers, associations, and operators) to investigate challenges and perceived benefits of integrating DPPs into AGV/AMR-based intralogistics systems. The findings identify three interrelated challenges: inconsistent standardisation across interfaces and semantics, heterogeneous IT security requirements, and fragmented lifecycle information bases, particularly in brownfield environments. DPP value is primarily associated with operational improvements and lifecycle-extension use cases, including maintenance planning, predictive services, retrofit decision support, fleet-level transparency, and data-enabled pay-per-use models. Building on these insights, we propose a conceptual framework that integrates DPP management on a data platform with AAS-aligned semantic linking across component, vehicle, and fleet levels to enable scalable, inter-organisational data sharing beyond compliance.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.clscn.2026.100349first seen 2026-08-02 17:20:07
🔔 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。