コールドチェーン物流におけるカーボンフットプリント削減
Reducing Carbon Footprint in Cold Chain Logistics (原題)
Tithli Sadhu, Pooja Srivastav, Thokala Saikrishna Reddy
🤖 gxceed AI 要約
日本語
アグリフード・コールドチェーンはGHG排出の重要源であり、冷蔵・輸送・包装の脱炭素化が急務である。本章は低排出技術、省エネ冷凍、再エネ導入、ITSによる配送最適化、スマート包装、IoT監視などの介入策を概観し、不確実性下で持続可能な施策を評価するファジィMCDM枠組みを提示する。ライフサイクル排出のホットスポット分析と実事例を通じ、環境・経済・運用のトレードオフを明らかにする。
English
Agri-food cold chains are major GHG emitters due to energy-intensive refrigeration, transport, and packaging. This chapter reviews sustainable interventions—low-emission technologies, energy-efficient refrigeration, renewables, ITS route optimization, smart packaging, and IoT monitoring—and develops a fuzzy MCDM framework to evaluate them under uncertainty. It also assesses life-cycle emissions hotspots and real-world cases, highlighting environmental-economic trade-offs.
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
日本では食品ロス削減・物流2024年問題と脱炭素が交差する領域であり、Scope 3排出削減やSSBJ開示における物流セクターの対応に示唆を与える。特にコールドチェーンの省エネ・再エネ導入は企業のScope 3削減策として実務的価値が高い。
In the global GX context
Cold chain decarbonization is increasingly relevant to Scope 3 accounting and CSRD/ISSB disclosure for food and logistics firms. The fuzzy MCDM approach offers a decision-support tool for evaluating interventions where data is uncertain, complementing global transition finance and climate target-setting frameworks.
👥 読者別の含意
🔬研究者:ファジィMCDMをサプライチェーン脱炭素評価に適用する方法論的枠組みとして参考になる。
🏢実務担当者:コールドチェーン企業が省エネ・再エネ・IoT投資の優先順位を検討する際の評価軸を提供する。
🏛政策担当者:食品物流の脱炭素化政策において、複数基準を統合した意思決定支援の必要性を示唆する。
📄 Abstract（原文）
The agri-food cold chain plays a vital role in ensuring food safety, minimizing post-harvest losses, and maintaining the quality of perishable commodities from farm to fork. However, the cold-chain logistics sector has emerged as a significant contributor to global greenhouse gas (GHG) emissions due to energy-intensive refrigeration, inefficient transport, and poor infrastructure. As the demand for perishable goods increases alongside globalization and urbanization, mitigating the carbon footprint associated with refrigerated transportation, warehousing, and packaging becomes an urgent priority. This chapter presents a comprehensive overview of sustainable interventions to reduce carbon emissions within agri-food cold chain logistics in terms of strategies, technologies, and policy frameworks through a holistic systems perspective. It explores the effect of the integration of low-emission technologies, energy-efficient refrigeration, renewable energy adoption, advanced vehicle route optimization through intelligent transportation systems, smart packaging, and Internet of Things (IoT) technologies for real-time temperature monitoring and resource efficiency. Furthermore, a fuzzy multi-criteria decision-making (MCDM) framework is developed to systematically assess sustainable interventions under uncertainty and conflicting objectives. This approach enables decision-makers to account for vagueness and subjectivity in expert judgments, aligning environmental, economic, and operational criteria. The chapter also evaluates life cycle-based carbon emissions across different stages of cold chain logistics, highlighting critical emission hotspots and sustainability trade-offs. Several real-world case studies are thoroughly examined to illustrate best practices from diverse agro-climatic regions and the economic-environmental trade-offs inherent in decarbonizing cold chains. The findings underscore the transformative potential of hybrid decision- support systems in enabling resilient, energy-efficient, and low-carbon cold chains aligned with international climate objectives and the United Nations Sustainable Development Goals (SDGs), particularly those concerning responsible consumption, climate action, and sustainable agri-food systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/9781394403431.ch2first seen 2026-10-14 05:08:34
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