Analysis of Carbon Emission Source Control using Seven Tools
セブンツールを用いた炭素排出源管理の分析 (AI 翻訳)
Taufik Hidayat, Tasdik Darmana, Sulastri Sulastri, Alyssa Azizah, Mochamad Rizqy
🤖 gxceed AI 要約
日本語
本研究は、大学の運用データ（電力・燃料）を用いて炭素排出量を算定し、品質管理手法であるセブンツール（ヒストグラム、パレート図、フィッシュボーン図）を適用して排出源の根本原因を分析した。結果、Scope2の電力消費が全体の98%を占め、人的行動や設備非効率が主因と特定。電力効率化と再生可能エネルギー導入で20-30%削減可能と示唆。
English
This study integrates carbon footprint assessment with the Seven Tools (histogram, Pareto, fishbone) to analyze emission sources at a university. Electricity (Scope 2) accounted for 98.23% of emissions; root causes include human behavior and inefficient equipment. Efficiency and renewables could cut emissions by 20-30%.
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
日本の大学や研究機関でもScope1・2の算定と削減が求められており、品質管理手法を排出源分析に応用する視点は、SSBJ対応や省エネ推進の実務に参考となる。
In the global GX context
Applies quality management tools to carbon management, offering a replicable method for institutions. Aligns with global trends in Scope 1/2 disclosure and energy efficiency, though the case is Indonesia-specific.
👥 読者別の含意
🔬研究者:品質管理手法を炭素排出分析に応用する新規性を評価し、他組織への適用可能性を検討する材料となる。
🏢実務担当者:大学や事業所の排出源特定と削減優先順位付けにセブンツールを活用する実践的指針を提供。
🏛政策担当者:教育機関の排出削減計画策定におけるデータ駆動型アプローチの参考事例となる。
📄 Abstract（原文）
Climate change mitigation requires higher education institutions to identify and control carbon emission sources generated by their operational activities. Previous studies in university environments have generally focused on carbon footprint quantification without systematically analyzing the root causes of emissions and identifying priority improvement actions. Therefore, this study proposes the integration of Carbon Footprint assessment with the Seven Tools approach within a Statistical Process Control (SPC) framework to identify dominant emission sources, analyze root causes, and formulate emission reduction strategies. The study employed a quantitative descriptive method using one-year operational data consisting of electricity consumption and fuel usage. Carbon emissions were calculated based on IPCC emission factors and subsequently analyzed using selected Seven Tools, namely histogram, Pareto diagram, and fishbone diagram. The results indicate that electricity consumption (Scope 2) contributed 1,112,996.46 kg CO₂/year or 98.23% of total emissions, whereas fuel consumption (Scope 1) accounted for only 20,066.67 kg CO₂/year or 1.77%. Fishbone analysis revealed that the dominant causes originated from human behavior, inefficient equipment, lack of energy management procedures, and dependence on fossil-based electricity. The novelty of this study lies in applying Seven Tools, traditionally used for quality improvement, to carbon emission management in higher education institutions. The findings provide practical guidance for energy management programs and demonstrate that electricity efficiency and renewable energy adoption could potentially reduce institutional carbon emissions by more than 20–30%.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.28989/jumantara.v5i2.4017first seen 2026-08-03 04:45:12
🔔 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。