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Integrating Efficiency and Priority in Circular Energy Supply Chains: A DEA-Informed BWM Analysis of Second-Life EV Battery Ecosystems in Emerging Economies

循環型エネルギーサプライチェーンにおける効率性と優先順位の統合：新興国におけるセカンドライフEVバッテリーエコシステムのDEAインフォームドBWM分析 (AI 翻訳)

Ilyas Masudin, Dian Palupi Restuputri, Dwi Iryaning Handayani, Erly Ekayanti Rosyida

Logistics📚 査読済 / ジャーナル2026-05-14#エネルギー転換Origin: Global
DOI: 10.3390/logistics10050114
原典: https://doi.org/10.3390/logistics10050114

🤖 gxceed AI 要約

日本語

本研究は、新興国におけるセカンドライフEVバッテリーエコシステムを対象に、BWMとDEAを統合した分析フレームワークを提案する。技術的障壁（28.4%）と経済的障壁（24.9%）が優先度の高い課題であり、正規のリバースロジスティクスと認証メカニズムを備えた構成が効率的であることを示した。本フレームワークは、政策立案者や実務家が循環型エネルギー移行を加速するための意思決定支援ツールとして有用である。

English

This study integrates BWM and DEA to analyze second-life EV battery ecosystems in emerging economies. Technical (28.4%) and economic (24.9%) barriers are top priorities, and configurations with formal reverse logistics and certification achieve frontier efficiency. The framework provides a decision-support tool for policymakers and practitioners to accelerate circular energy transitions.

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GX政策では、EVバッテリーの資源循環が重要課題であり、本論文の分析手法は新興国でのサプライチェーン設計に応用可能。間接的ではあるが、日本企業の海外事業における循環型モデル構築に示唆を与える。

In the global GX context

This paper contributes to global GX by addressing circular economy in EV battery supply chains, a critical area for low-carbon transitions. Its integrated BWM-DEA framework offers a novel approach for emerging economies, highlighting the need for regulatory and institutional support alongside technological investment.

👥 読者別の含意

🔬研究者:Methodological integration of BWM and DEA for circular supply chain efficiency assessment offers a new analytical lens.

🏢実務担当者:Firms can use the framework to prioritize barriers and design efficient reverse logistics for second-life batteries.

🏛政策担当者:Highlights the necessity of formal regulations and certification to enable efficient circular energy systems.

📄 Abstract（原文）

Background: The global transition to low-carbon energy systems has intensified the need for circular approaches in energy supply chains, yet studies on second-life EV battery ecosystems in emerging economies remain fragmented between barrier prioritization and efficiency assessment. Methods: This study addresses this gap by integrating the Best–Worst Method (BWM) and Data Envelopment Analysis (DEA) to connect subjective expert-based prioritization with objective efficiency benchmarking. Using expert panel inputs and scenario-based circular energy configurations representing emerging economy conditions, the results indicate that technical barriers (28.4%) and economic barriers (24.9%) dominate the priority structure, with battery performance uncertainty and high initial investment as the most critical constraints. Results: DEA results show that configurations with formal reverse logistics and certification mechanisms achieve frontier efficiency (θ = 1.000), whereas fragmented informal configurations exhibit the lowest efficiency (θ = 0.712). High-tech configurations with weak regulation demonstrate that technological investment alone is insufficient without institutional development. Conclusions: The novelty lies in developing a context-sensitive BWM–DEA framework that embeds barrier priorities into efficiency evaluation, an approach rarely explored in prior circular supply chain research. The study provides a holistic decision-support tool for policymakers and industry stakeholders seeking to accelerate circular energy transitions in emerging economies.

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