A customer satisfaction–focused green supply chain network under carbon tax and carbon cap across heterogeneous regulatory regions
炭素税と炭素キャップの下での異なる規制地域における顧客満足度重視のグリーンサプライチェーンネットワーク (AI 翻訳)
Sina Abbasi, Hanieh Hafezniya, Massoud Fekrvand Leil Abadi, Mahyar Ghoroqi, Mohammad Khanabadi Borchalouei
🤖 gxceed AI 要約
日本語
本研究は、炭素税と炭素キャップという異なる規制地域を考慮したグリーンサプライチェーンネットワークの最適化モデルを提案する。総コストと炭素排出の最小化、サービスレベルの最大化を目的とし、数値実験と実事例で有効性を検証した。異種の炭素政策が供給網の意思決定に与える影響を明らかにし、環境持続可能性と顧客満足を両立する枠組みを示した。
English
This study proposes an integrated optimization model for green supply chain network design under heterogeneous carbon regulations (cap and tax). It minimizes cost and emissions while maximizing customer service level, validated through numerical experiments and a real-world case. The results reveal trade-offs between cost, emissions, and service, providing insights for sustainable supply chain management under dual carbon policies.
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
日本の文脈では、炭素税やキャップ制の導入が進む中、本モデルは複数地域にまたがるサプライチェーンでの炭素規制対応に示唆を与える。特に日本の大企業がグローバルサプライチェーンを運用する際の費用対効果の高い排出削減戦略に活用できる。
In the global GX context
In the global context, this paper provides a framework for supply chains operating across regions with different carbon pricing mechanisms (e.g., EU ETS, Nordic carbon taxes). It highlights how firms can balance cost, emissions, and service levels when facing heterogeneous climate policies, relevant for multinational corporations.
👥 読者別の含意
🔬研究者:Provides a novel MINLP model integrating carbon policies and customer satisfaction in supply chain optimization, useful for further modeling work.
🏢実務担当者:Offers managerial insights for configuring supply networks under dual carbon regulations to achieve sustainability without sacrificing profit.
🏛政策担当者:Illustrates the differential impacts of carbon tax versus cap mechanisms on supply chain decisions, informing policy design.
📄 Abstract（原文）
This study presents a novel integrated optimization model for designing a green supply chain network (GSCN). The model aims to minimize total cost and carbon emissions while maximizing service level. It operates across two geographically distinct regions, Region A and Region B, each subject to different carbon policies. The main contribution is the development of a comprehensive framework that combines economic efficiency, environmental sustainability, and customer satisfaction within a single mixed-integer nonlinear programming (MINLP) model. This framework incorporates a carbon cap mechanism in Region A and a carbon tax mechanism in Region B into the network structure. The proposed approach integrates cost, emission reduction, and service performance across heterogeneous regulatory zones. The model is implemented in GAMS and solved using an exact solution method. Numerical experiments with various problem sizes validate the model's applicability and robustness. Additionally, a real-world case study demonstrates the practical applicability and managerial relevance of the proposed model in a supply chain (SC) context. The results highlight important trade-offs among cost, carbon emissions, and service level. Quantity-based (cap) and price-based (tax) carbon controls influence network decisions differently. Overall, the model supports decision-makers in achieving sustainability goals without compromising profitability. This study provides practical managerial insights for designing environmentally responsible and customer-oriented SCs operating under dual‑carbon regulatory regimes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.clscn.2026.100352first seen 2026-07-13 06:12:33
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