メンテナンス 5.0:AI主導の持続可能で人間中心の産業システムにおけるレジリエンスベースのメンテナンス
Lech Bukowski1, Sylwia Werbinska-Wojciechowska2
1Faculty of Applied Sciences, WSB University, 1c Zygmunta Cieplaka Street, 41-300 Dabrowa Gornicza, Poland.
Sensors (Basel, Switzerland)
|August 28, 2025
まとめ
産業5.0は,適応性と人間中心性のためにAIを統合したレジリエンスベースのメンテナンス (RBM) で産業システムを強化します. このアプローチは システムの回復と 製造業の持続可能な発展を促進します
科学分野:
- 産業工学
- コンピュータ科学
- 持続可能性研究
背景:
- 産業5.0は持続可能で人間中心の産業開発を優先します
- レジリエンスベースのメンテナンス (RBM) は,不確実性下でシステムの適応性と回復に焦点を当てた戦略です.
- RBMは現代の産業環境の複雑さを把握するために不可欠です.
研究 の 目的:
- メンテナンス5.0の枠組みの中でレジリエンスベースのメンテナンス (RBM) に関する体系的な文献レビュー (SLR) を実施する.
- RBMと産業5.0の統合を分析する.
- 研究のギャップとメンテナンス5.0の将来の方向性を特定する.
主な方法:
- PRISMAの方法論に従って体系的な文献レビュー (SLR) を行う.
- 選択された出版物の図書館計測分析
- RBMと産業5.0に関する研究論文の内容分析
主要な成果:
- 機械学習やデジタルツインを含むAIの方法は システムの回復力を高めるための鍵です
- RBMは,資源の消費を削減し,人間と機械の相互作用を改善することによって,産業5.0の柱をサポートします.
- この研究は,RBMが持続可能性と人間中心の目標と一致していることを確認しています.
結論:
- RBMを組み込むメンテナンス5.0は,レジリエントでインテリジェントでインクルーシブな産業システムのための戦略的経路を提供します.
- AIの説明性,セクター特有のRBMアプリケーション,および人体工学的な統合に関するさらなる研究が必要である.
- メンテナンス5.0の開発は 将来の産業パラダイムにとって不可欠です
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