Harnessing Artificial Intelligence for the Renaissance of Sustainable Supply Chains
持続可能なサプライチェーンのルネサンスのための人工知能の活用 (AI 翻訳)
R. Purushothaman, R. Alamelu, Sathya Manickam, M. Sudha, Leema Christina J.
🤖 gxceed AI 要約
日本語
本稿は、ESG目標と規制強化の下でAIなどの新興技術が持続可能なサプライチェーンをどう再構築するかを論じる章。AIによる設計・在庫最適化で廃棄物と排出を削減し、ブロックチェーンでトレーサビリティを向上させる。デジタルツインや再生型サプライネットワークの可能性も示しつつ、データプライバシーやAIバイアス等の倫理的リスクと対策を提示する。
English
This chapter examines how AI and emerging technologies reshape sustainable supply chains amid ESG goals and tighter regulations. It covers AI-driven design and inventory optimization to cut waste and emissions, plus blockchain for transparent carbon tracing. Digital twins and regenerative supply networks support ecosystem restoration. Ethical risks such as data privacy and AI bias are also addressed.
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
日本企業にとってScope3排出の算定・開示は喫緊の課題であり、本稿のAI活用論はサプライチェーン排出データの収集・分析やESG情報開示の効率化に示唆を与える。SSBJ対応やサステナビリティ経営の実務に有用な概念整理を提供する。
In the global GX context
The chapter aligns with ISSB/CSRD demands for supply-chain transparency, showing how AI and blockchain can support carbon traceability and ESG data collection. It offers a conceptual framework for companies and researchers exploring technology-enabled sustainability disclosure.
👥 読者別の含意
🔬研究者:Provides a broad landscape of AI applications in sustainable supply chains, useful for framing research on ESG data extraction and disclosure.
🏢実務担当者:Can inform corporate sustainability teams on AI and blockchain tools for Scope 3 monitoring and supplier ESG alignment.
🏛政策担当者:Highlights ethical risks and responsible-technology adoption strategies relevant to AI governance in supply chain regulation.
📄 Abstract（原文）
In 2025's evolving business landscape, sustainable supply chains are key to corporate responsibility, driven by ESG goals and tighter regulations. This chapter explores how AI and emerging technologies are reshaping supply chain management, enabling smart, ethical, and low-impact operations. AI advances from intelligent product design to optimized inventory, reduce waste and emissions while supporting profitability. Blockchain enhances transparency via digital product passports and carbon traceability. Regenerative supply networks and digital twins support ecosystem restoration and real-time impact modeling. Innovations like smart packaging, autonomous logistics, and urban hubs drive further circularity. Cross-industry AI platforms and supplier sustainability tools foster ESG alignment. The chapter also addresses ethical risks includes data privacy, AI bias, and environmental trade-offs—offering strategies for responsible tech adoption.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.4018/979-8-3373-2843-0.ch006first seen 2026-08-02 19:25:07
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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。