Leveraging aviation 4.0 for sustainable aviation fuel adoption towards net zero: – An integrated approach of cognitive mapping and analytical heuristic process
ネットゼロに向けた持続可能な航空燃料導入のためのアビエーション4.0の活用：認知マッピングと分析的ヒューリスティックプロセスの統合的アプローチ (AI 翻訳)
Ahmed Zainul Abideen
🤖 gxceed AI 要約
日本語
この論文は、オマーンの航空産業における持続可能な航空燃料（SAF）の導入を促進するためにアビエーション4.0の原則を活用する方法を調査している。Fuzzy Cognitive MappingとAHPを用いて、適切なSAFの種類を評価し、政策と実践のギャップを埋めることを目指す。航空部門のネットゼロ目標達成に寄与する知見を提供する。
English
This paper investigates how Aviation 4.0 principles (digitalization, automation, data analytics) can support Sustainable Aviation Fuel (SAF) adoption in Oman's aviation industry to reduce CO2 emissions. Using Fuzzy Cognitive Mapping and AHP, it evaluates enablers, challenges, and policies to rank suitable SAF types. The study provides actionable insights for aviation operators to transition to net-zero.
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
日本においても航空業界の脱炭素化は急務であり、SAFの導入推進は国策として進められている。本論文のオマーン事例は、中東の文脈におけるSAF導入の障壁と促進要因を明示しており、日本の航空政策や国際協力の参考となる可能性がある。
In the global GX context
The paper addresses the global challenge of aviation decarbonization, using Oman as a case study. While the analytical methods (FCM, AHP) are well-established, the integration with Aviation 4.0 concepts offers a framework applicable to other regions. It contributes to the literature on SAF adoption, highlighting the role of digitalization in facilitating the transition.
👥 読者別の含意
🔬研究者:Provides a structured decision-making framework for evaluating SAF adoption under uncertainty, combining cognitive mapping with AHP.
🏢実務担当者:Offers insights into barriers and enablers for SAF implementation, useful for aviation operators planning fuel transition strategies.
🏛政策担当者:Highlights policy gaps and the need for supportive regulations to accelerate SAF adoption, relevant for national aviation decarbonization plans.
📄 Abstract（原文）
Abstract: The Paris Agreement has had a substantial influence on industries worldwide, particularly the aviation sector, which is responsible for approximately 3% of global CO₂ emissions. As a high-energy-consuming industry, aviation faces mounting pressure to reduce its carbon footprint and align with international climate goals. Sustainable Aviation Fuel (SAF) has emerged as a viable solution to reduce greenhouse gas (GHG) emissions, offering a pathway toward achieving net-zero targets by 2050. This paper investigates the potential adoption of SAF within Oman's aviation industry, on how Aviation 4.0 principles and technologies can be leveraged to support SAF implementation. The study examines enablers, challenges, goals, and policies, highlighting the role of digitalization, automation, and data analytics in driving the transition to SAF. Advanced analytical methods, such as Fuzzy Cognitive Mapping (FCM) and the Analytical Hierarchy Process (AHP), will be employed to evaluate the impacts and rank the most suitable types of SAF for Oman. By addressing critical gaps in policy and practice, this study aims to provide actionable insights for aviation operators to transition toward sustainable fuel alternatives and meet long-term climate objectives.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.21741/9781644904176-33first seen 2026-06-16 05:04:58
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。