Backcasting the Future of the Automotive Industry: Leveraging Digital Technologies for the Circular Economy
自動車産業の未来をバックキャスティング：循環経済のためのデジタル技術活用 (AI 翻訳)
L. Eckert, Ann-Sophie Finner, Daniel Heinz, G. Satzger
🤖 gxceed AI 要約
日本語
本研究は、2050年の循環型自動車産業をバックキャスティング手法で描き、AIやデジタルツイン、製品パスポートなどのデジタル技術がサプライチェーン全体のデータ共有やトレーサビリティを向上させ、EVのライフサイクル管理や設計・製造の循環性を高めることを示す。同時に、データ共有の課題や協調プラットフォームの必要性を指摘し、政策介入と協力フレームワークを提言する。
English
This study uses backcasting to envision a circular automotive industry by 2050, aligned with European Green Deal carbon neutrality. Digital technologies like AI, digital twins, and product passports enhance data sharing, traceability, and decision-making across the supply chain, improving EV life cycle management and circularity. It addresses challenges such as data sharing and recommends collaborative platforms and policy interventions for the transition.
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
日本の自動車産業にとって、欧州グリーンディールに準拠した循環経済ロードマップは、輸出市場やサプライチェーン対応において参考になる。特に、デジタル技術を活用したトレーサビリティ向上やEVのライフサイクル管理は、日本の自動車メーカーのグリーントランスフォーメーション戦略に示唆を与える。
In the global GX context
This paper provides a forward-looking perspective on automotive circularity, linking digitalization with EU policy goals. It offers a pathway for integrating digital technologies into sustainability strategies, which is relevant for global automakers facing regulatory pressure on emissions and resource efficiency.
👥 読者別の含意
🔬研究者:Provides a backcasting framework for studying circular economy transitions in automotive, bridging information systems and CE research.
🏢実務担当者:Offers actionable insights on leveraging AI and digital twins for life cycle management and supply chain transparency in the automotive sector.
🏛政策担当者:Highlights the need for policy intervention and collaborative platforms to enable a circular automotive industry by 2050.
📄 Abstract（原文）
The automotive industry faces environmental challenges due to fossil fuel reliance and linear production models. Transitioning to a circular economy (CE) is essential for reducing emissions and achieving sustainability. This study uses backcasting to envision a circular automotive industry by 2050, aligned with the European Green Deal's carbon neutrality objectives. Our envisioned future leverages digital technologies such as AI, digital twins, and product passports to enhance data sharing, traceability, and decision-making across the supply chain. We examine how these technologies improve life cycle management of electric vehicles, enhance circularity in design and manufacturing, and ensure transparency from production to end of life. While these technologies extend product life cycles and minimize waste, transitioning toward circularity presents challenges such as data sharing, emphasizing the need for collaborative industry platforms. By engaging key stakeholders, we developed a pathway from the current state to the envisioned circular future. Focusing on CE principles, the study seeks to foster a systemic shift toward circularity, bridging the gap between information systems and CE research. Strategic policy interventions and cooperative frameworks are recommended to enable the transition. The paper contributes insights into digitalization's impact on CE, providing actionable strategies for industry stakeholders aiming to implement sustainable practices amid global resource constraints.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.17705/1cais.05835first seen 2026-07-15 05:45:26
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