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Carbon, circularity and criticality: sourcing model and parameters

炭素、循環性、および重要度:調達モデルとパラメータ (AI 翻訳)

Bart Lahcen

Zenodo (CERN European Organization for Nuclear Research)データセット2026-08-05#サプライチェーンOrigin: Global経営インパクト: 調達リスク対象セクター: manufacturing
DOI: 10.5281/zenodo.21802158
原典: https://doi.org/10.5281/zenodo.21802158

🤖 gxceed AI 要約

日本語

本モデルは、材料調達における炭素排出、循環性、地政学的リスクを統合的に評価する線形計画法を提供する。購入者は単一国依存の上限、リサイクル含有率の下限、供給ルート容量の制約下で、埋蔵炭素を最小化する調達構成を決定できる。制約の限界価格や実現可能領域の限界を明示し、リチウム、ネオジム、NMC811の3ケースで実証する。

English

This model provides a linear programming approach to integrate carbon emissions, circularity, and geopolitical risk in material sourcing. It minimizes embodied carbon under constraints on single-country exposure, recycled content, and route capacity, revealing shadow prices and feasibility limits. Demonstrated on lithium, neodymium, and NMC811 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

日本企業はサプライチェーン排出量(Scope 3)の算定・削減が求められており、本モデルは調達戦略における脱炭素と安定供給のトレードオフを定量的に評価する手法を提供する。特に、電池材料やレアアースなど重要鉱物の調達において、SSBJ開示やサプライチェーン強靭化政策に資する。

In the global GX context

This model addresses the growing need for companies to manage Scope 3 emissions and supply chain risks, aligning with global disclosure frameworks like ISSB and CSRD. It offers a quantitative method to balance decarbonization with supply security, relevant for critical minerals and battery supply chains.

👥 読者別の含意

🔬研究者:Provides a reproducible LP framework for multi-objective sourcing optimization with shadow price analysis.

🏢実務担当者:Enables procurement teams to evaluate trade-offs between carbon, cost, and supply risk in material sourcing.

🏛政策担当者:Offers insights into the feasibility and costs of supply chain diversification and circularity mandates.

📄 Abstract(原文)

Linear programming model, parameter set and outputs for a tiered, decision-level treatment of carbon, circularity and criticality in materials sourcing. The model allocates a purchaser's requirement for one material across available supply routes, minimising embodied carbon subject to a cap on single-country exposure, a floor on recycled content, and route capacity limits. Re-solving over a sequence of caps or floors traces the attainable frontier and returns the shadow price of each binding constraint, the marginal carbon conceded per unit of security or of recycled content, together with the feasibility limits beyond which no compliant sourcing mix exists. Three cases are included: battery-grade lithium hydroxide monohydrate, neodymium oxide for permanent magnets, and NMC811 cathode active material. Carbon intensities are taken, for each case, from a single study reporting all routes on a common boundary and allocation convention, and every parameter carries a provenance flag distinguishing evidenced values, values derived by a stated operation, and assumptions. The deposit contains the model, the parameter file, the frontier and sensitivity outputs, and documentation of sources and scope conditions. The model prints eight verification checks, computed independently of the solver, before writing any output.

🔗 Provenance — このレコードを発見したソース

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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。