Machine Learning for Sustainable Manufacturing in Industry 4.0

Raman Kumar, Sita Rani, Sehijpal Singh Khangura

  • 出版商: CRC
  • 出版日期: 2023-11-02
  • 售價: $4,980
  • 貴賓價: 9.5$4,731
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Hardcover
  • ISBN: 1032592117
  • ISBN-13: 9781032592114
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods.

 

  • Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions.

 

  • Highlights the importance of the explainable machine learning model in the manufacturing processes.

 

  • Presents the integration of machine learning and big data analytics from an industry 4.0 perspective.

 

  • Discusses advanced computational techniques for sustainable manufacturing.

 

  • Examines environmental impacts of operations and supply chain from an industry 4.0 perspective.

This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.

商品描述(中文翻譯)

本書專注於利用機器學習在可持續製造領域中,最近在錯誤減少、資源優化和收入增長方面的發展。它展示了在工業4.0領域中,將機器學習等智慧技術整合以實現更高品質的產品和高效的製造方法。

- 專注於工業4.0生態系統中機器學習的應用,例如資源優化、數據分析和預測。

- 強調可解釋的機器學習模型在製造過程中的重要性。

- 從工業4.0的角度展示機器學習與大數據分析的整合。

- 討論可持續製造的先進計算技術。

- 從工業4.0的角度檢視運營和供應鏈的環境影響。

本書提供了關於可持續製造的科學和技術見解,涵蓋了廣泛的機器學習應用,包括故障檢測、網路攻擊預測和庫存管理。它進一步討論了在工業4.0中利用機器學習進行資源優化,以及針對工業4.0的可解釋機器學習模型。本書將成為機械工程、製造工程、生產工程、航空航天工程和計算機工程等領域的高年級本科生、研究生和學術研究者的理想參考書。