Explainable and Customizable Job Sequencing and Scheduling: Advancing Production Control and Management with Xai
暫譯: 可解釋且可自訂的工作排序與排程:利用 Xai 促進生產控制與管理

Chen, Tin-Chih Toly

  • 出版商: Springer
  • 出版日期: 2025-04-10
  • 售價: $2,360
  • 貴賓價: 9.5$2,242
  • 語言: 英文
  • 頁數: 126
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031853733
  • ISBN-13: 9783031853739
  • 海外代購書籍(需單獨結帳)

商品描述

This book systematically reviews the progress in explainable AI (XAI) and introduces the methods, tools, and applications of XAI technologies in job sequencing and scheduling. Relevant references and real case studies are provided as supporting evidence.

To date, artificial intelligence (AI) technologies have been widely applied in job sequencing and scheduling. However, some advanced AI methods are not easy to understand or communicate, especially for factory workers with insufficient background knowledge of AI. This undoubtedly limits the practicability of these methods. To address this issue, explainable AI has been considered a viable strategy. XAI methods suitable for job sequencing and scheduling differ from those for other fields in manufacturing, such as pattern recognition, defect analysis, estimation, and prediction. This is the first book to systematically integrate current knowledge in XAI and demonstrate its application to manufacturing.

商品描述(中文翻譯)

這本書系統性地回顧了解釋性人工智慧(XAI)的進展,並介紹XAI技術在工作排序和排程中的方法、工具和應用。書中提供了相關參考文獻和實際案例研究作為支持證據。

截至目前,人工智慧(AI)技術已廣泛應用於工作排序和排程。然而,一些先進的AI方法不易理解或溝通,特別是對於背景知識不足的工廠工人來說,這無疑限制了這些方法的實用性。為了解決這個問題,解釋性人工智慧被視為一種可行的策略。適用於工作排序和排程的XAI方法與其他製造領域(如模式識別、缺陷分析、估算和預測)的XAI方法有所不同。這是第一本系統性整合當前XAI知識並展示其在製造業應用的書籍。

作者簡介

Dr. Chen has published papers on job scheduling in semiconductor manufacturing factories in journals such as Expert Systems and Applications, Neural Computing and Applications, International Journal of Advanced Manufacturing Technology, Journal of Intelligent Manufacturing, and Computers and Industrial Engineering. He also authored a book entitled "Production Planning and Control in Semiconductor Manufacturing: Big Data Analytics and Industry 4.0 Applications" for Springer in 2022. He has guest edited several special issues on job scheduling in large-scale manufacturing systems and just-in-time manufacturing and maintenance for journals including Operations Research, International Journal of Intelligent Systems, and International Journal of Advanced Manufacturing Technology. In 2023, he authored a book entitled "Explainable Artificial Intelligence in Manufacturing: Methodology, Tools, and Applications" for Springer.

作者簡介(中文翻譯)

陳博士在半導體製造工廠的工作排程方面發表了多篇論文,發表於《Expert Systems and Applications》、《Neural Computing and Applications》、《International Journal of Advanced Manufacturing Technology》、《Journal of Intelligent Manufacturing》和《Computers and Industrial Engineering》等期刊。他於2022年為Springer撰寫了一本名為《Production Planning and Control in Semiconductor Manufacturing: Big Data Analytics and Industry 4.0 Applications》的書籍。他還擔任過多個特刊的客座編輯,主題包括大型製造系統的工作排程以及及時製造和維護,發表於《Operations Research》、《International Journal of Intelligent Systems》和《International Journal of Advanced Manufacturing Technology》等期刊。2023年,他為Springer撰寫了一本名為《Explainable Artificial Intelligence in Manufacturing: Methodology, Tools, and Applications》的書籍。