閉ループ型e-waste再製造のためのブロックチェーン活用産業工学フレームワーク：リスク対応最適化、データガバナンス、社会的サステナビリティ

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:ブロックチェーン×循環サプライチェーン×S-LCAを統合した最適化モデリングの研究課題を整理する出発点として有用。

🏢実務担当者:DPPやスマートコントラクトによるコンプライアンス検証・機密保持型データ共有の設計オプションを検討する際の参考になる。

🏛政策担当者:e-waste規制（WEEE/RoHS/バーゼル）とDPPをブロックチェーンで自動検証する仕組みの政策設計に示唆を与える。

Rapid technological advancement and shrinking product lifecycles have escalated electronic waste (e-waste) into one of the world's fastest-growing environmental and supply chain challenges. Transitioning from linear "take-make-dispose" models to circular, Closed-Loop Remanufacturing Systems (CLRS) requires precise tracking of product lifecycles, end-of-life (EoL) quality assessment, and transparent multi-stakeholder coordination. This research topic explores integrated, blockchain-enabled industrial engineering frameworks designed to optimize closed-loop e-waste remanufacturing networks. By coupling distributed ledger technology (DLT) with advanced risk-aware optimization, robust data governance protocols, and social sustainability metrics, this framework addresses the triple bottom line of modern circular economies. The focus spans mathematical modeling for uncertainty, secure data-sharing mechanisms across competing entities, and human-centric metrics that safeguard labor rights and social equity throughout the recovery and remanufacturing chain. Key Research Themes & Focus Areas 1. Risk-Aware Optimization & Network Design Dynamic E-Waste Reverse Logistics: Stochastic and robust mathematical models for network design under supply quantity, quality, and timing uncertainties. Risk Mitigation under Volatility: Risk-averse decision models (e.g., Conditional Value-at-Risk) incorporating geopolitical, regulatory, and market disruption risks in secondary raw material supplies. Blockchain-Driven Inventory & Routing: Smart contract-automated inventory control, disassembly scheduling, and dynamic vehicle routing powered by real-time telemetry and ledger verification. 2. Data Governance & Digital Product Passports (DPP) Decentralized Data Architecture: Zero-Knowledge Proofs (ZKPs) and federated data structures enabling competitive supply chain partners to share component provenance, maintenance logs, and material toxicity data without exposing proprietary trade secrets. Lifecycle Provenance Tracking: Blockchain-anchored Digital Product Passports tracking electronic components from initial assembly through consumer usage to reverse logistics and remanufacturing. Automated Compliance Verification: Smart contracts for automated audit trails, verifying adherence to global e-waste regulations (e.g., EU WEEE, RoHS, Basel Convention) and carbon credits. 3. Social Sustainability & Human-Centric Systems Fair-Trade E-Waste Recovery: Integration of informal recycling sectors and labor practices into formal, blockchain-verified remanufacturing networks to ensure fair wages, safe working conditions, and occupational safety. Social Life Cycle Assessment (S-LCA): Developing quantifiable metrics for social impacts—community health, worker health and safety, gender equity, and localized economic growth—embedded directly into optimization objectives. Ethical Sourcing & Conflict Material Offset: Ledger mechanisms ensuring remanufactured outputs reduce demand for conflict-mined critical raw materials (e.g., lithium, cobalt, rare earth elements).

• openalex https://doi.org/10.17613/pw5gf-a2672first seen 2026-09-14 04:49:03 · last seen 2026-09-14 04:49:04