Impact of Circular Economy and Key Operational Parameters on Steel Supply Chain Performance Under a Dedicated Warehousing Policy: A Multi-Objective Case Study
専用倉庫ポリシー下における循環経済と主要運用パラメータが鉄鋼サプライチェーン性能に与える影響：多目的ケーススタディ (AI 翻訳)
Mai S. Abdelaziz, Tamer F. Abdelmaguid
🤖 gxceed AI 要約
日本語
エジプトの鉄鋼メーカーの実データを用いた多目的最適化モデルにより、コスト、納期遅れ、炭素排出、水環境影響のトレードオフを分析。専用倉庫ポリシーがバッチレベルのスクラップ追跡を可能にし、工程時間と排出を削減することを実証。需要と原料価格が性能を支配し、カーボンタックスの感応度も示した。
English
Using real data from an Egyptian steel manufacturer, a multi-objective optimization model evaluates trade-offs among cost, tardiness, carbon emissions, and water ecological effects. It shows that dedicated warehousing enables batch-level scrap traceability while reducing travel time and emissions. Demand and raw material prices dominate performance; carbon tax sensitivity is also analyzed.
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
本論文はエジプトの鉄鋼事例であるが、日本でも鉄鋼業の脱炭素化とサプライチェーン効率化の両立は重要な課題。専用倉庫によるスクラップ追跡性向上は、循環経済実践の参考となる。
In the global GX context
This case study from Egypt demonstrates how circular economy principles (scrap take-back) and warehousing policy can reduce emissions and costs in steel supply chains — relevant for global steel decarbonization discussions, though context-specific.
👥 読者別の含意
🔬研究者:The multi-objective optimization framework and sensitivity analysis offer a replicable approach for studying trade-offs in circular supply chains.
🏢実務担当者:Steel supply chain managers can use the findings on demand and raw material price impacts to optimize warehousing and scrap management.
🏛政策担当者:The carbon tax sensitivity analysis provides evidence for designing effective carbon pricing in industrial supply chains.
📄 Abstract（原文）
Background: Egypt is one of the top steel producers in the Middle East and Africa, yet it faces acute water scarcity and rising energy costs, making it a critical context for studying trade-offs among carbon emissions, water ecological effects, and operational cost in steel supply chain. Methods: Using a multi-objective optimization model based on real data from a major Egyptian steel manufacturer, this study evaluates trade-offs among cost, tardiness, and environmental impact measured by carbon emissions and water ecological effects. Unlike prior studies, this study demonstrates that dedicated warehousing enables batch-level traceability of returned scrap while reducing material handling travel time and carbon emissions. The AUGMECON method generates Pareto-optimal solutions, and sensitivity analysis is conducted on six parameters: scrap take-back rate, demand variability, raw material price, energy cost, production capacity, and carbon tax. Results: Demand and raw material prices dominate performance: a 5% demand increase raises cost by 8.6%, and a 15% raw material price increase raises cost by 32.7%. The knee-point solution achieves 58.18 billion EGP, 0.99 months tardiness, and 2096 million kg CO2 over nine months. Conclusions: This study quantifies the impact of the circular economy and operational parameters on steel supply chain performance under a dedicated warehousing policy.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/logistics10060139first seen 2026-06-21 05:42:02
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