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Multi-objective optimization framework for sustainable olive oil supply chains: integrating environmental compliance with economic performance

持続可能なオリーブオイルサプライチェーンのための多目的最適化フレームワーク：環境コンプライアンスと経済パフォーマンスの統合 (AI 翻訳)

Majdi Argoubi, Khaled Mili

Frontiers in Sustainability📚 査読済 / ジャーナル2026-01-15#サプライチェーンOrigin: Global経営インパクト: コスト削減対象セクター: agriculture回収年数ヒント: 3.5年
DOI: 10.3389/frsus.2025.1711821
原典: https://doi.org/10.3389/frsus.2025.1711821

🤖 gxceed AI 要約

日本語

オリーブオイル生産における廃水管理と環境規制を考慮した多目的最適化フレームワークを提案。ε制約法により環境・品質・利益のトレードオフを分析し、チュニジアの事例でCO2排出を14.6%削減。バランス解が全次元で80-85%の性能を達成することを示し、インフラと規制の乖離を指摘。

English

This study proposes a multi-objective optimization framework for olive oil supply chains, integrating environmental compliance and economic performance. Using ε-constraint method, it reveals trade-offs and achieves 14.6% CO2 reduction in a Tunisian case. Balanced solutions reach 80-85% of maximum performance across all dimensions, highlighting infrastructure-regulation disconnect.

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

日本ではオリーブオイル産業は小規模だが、サプライチェーン全体での環境最適化の考え方は、食品産業や農業分野のGX推進に参考になる。特に、環境制約を設計に組み込むことで競争優位を生むという視点は、日本企業のサステナビリティ経営に示唆を与える。

In the global GX context

This paper contributes to global GX scholarship by demonstrating how environmental constraints can be embedded in supply chain optimization to create competitive advantage. It provides a framework applicable to agri-food supply chains, relevant for ISSB-aligned reporting and circular economy initiatives.

👥 読者別の含意

🔬研究者:Provides a methodological framework for multi-objective supply chain optimization with environmental constraints, useful for extending to other sectors.

🏢実務担当者:Offers insights on balancing environmental compliance and profitability in supply chain operations, with actionable payback analysis.

🏛政策担当者:Highlights the infrastructure-regulation disconnect and suggests phased regulatory implementation, relevant for designing effective environmental policies.

📄 Abstract（原文）

Mediterranean olive oil production faces a critical sustainability challenge: managing olive mill wastewater (OMW), a highly polluting byproduct (0.8–1.2 m 3 /ton) threatening environmental compliance and supply chain viability. This study develops an integrated multi-objective Mixed-Integer Linear Programming framework that jointly optimizes harvest scheduling, processing allocation, and OMW management. The ε-constraint method generates Pareto frontiers revealing trade–offs between environmental performance, oil quality, and economic profit. Implementation used Python 3.9+ with Gurobi optimizer, validated through a Tunisian case study (18 groves, 4 teams, 3 mills, 14-day horizon). Operational optimization achieved 14.6% CO 2 emission reduction and maintained regulatory compliance. However, OMW valorization remained at 12.8%-far below 80% policy targets-revealing fundamental infrastructure-regulation disconnect. Multi-objective analysis shows balanced solutions achieve 80–85% of maximum performance across all dimensions, while single-objective approaches sacrifice 35–65% in non-prioritized objectives. Sensitivity analysis quantifies that doubling valorization capacity increases recovery to 23.6% with 30.8% profit improvement. The framework demonstrates that environmental constraints, when architecturally embedded, define opportunity spaces for competitive advantage rather than performance limitations. Infrastructure analysis provides actionable guidance for phased regulatory implementation with 3–4 season payback periods.

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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。