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Explainable and customizable job sequencing and scheduling = advancing production control and management with XAI /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Explainable and customizable job sequencing and scheduling/ by Tin-Chih Toly Chen.
其他題名:
advancing production control and management with XAI /
作者:
Chen, Toly.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
ix, 126 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Social aspects. -
電子資源:
https://doi.org/10.1007/978-3-031-85374-6
ISBN:
9783031853746
Explainable and customizable job sequencing and scheduling = advancing production control and management with XAI /
Chen, Toly.
Explainable and customizable job sequencing and scheduling
advancing production control and management with XAI /[electronic resource] :by Tin-Chih Toly Chen. - Cham :Springer Nature Switzerland :2025. - ix, 126 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-5318. - SpringerBriefs in applied sciences and technology..
Chapter 1. Explainable Artificial Intelligence (XAI) -- Chapter 2. Artificial Intelligence (AI) Applications in Job Sequencing and Scheduling -- Chapter 3. XAI Applications to Job sequencing and Scheduling -- Chapter 4. Explaining Artificial Neural Network and Deep Learning Applications in Job Sequencing and Scheduling -- Chapter 5. Explaining Genetic Algorithm and Other Bio-inspired Algorithm Applications in Job Sequencing and Scheduling -- Chapter 6. Tailoring Scheduling Rules Using XAI -- Chapter 7. XAI-enabled Edge Computing Application in Job Sequencing and Scheduling.
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.
ISBN: 9783031853746
Standard No.: 10.1007/978-3-031-85374-6doiSubjects--Topical Terms:
562911
Artificial intelligence
--Social aspects.
LC Class. No.: Q334
Dewey Class. No.: 006.3
Explainable and customizable job sequencing and scheduling = advancing production control and management with XAI /
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Chapter 1. Explainable Artificial Intelligence (XAI) -- Chapter 2. Artificial Intelligence (AI) Applications in Job Sequencing and Scheduling -- Chapter 3. XAI Applications to Job sequencing and Scheduling -- Chapter 4. Explaining Artificial Neural Network and Deep Learning Applications in Job Sequencing and Scheduling -- Chapter 5. Explaining Genetic Algorithm and Other Bio-inspired Algorithm Applications in Job Sequencing and Scheduling -- Chapter 6. Tailoring Scheduling Rules Using XAI -- Chapter 7. XAI-enabled Edge Computing Application in Job Sequencing and Scheduling.
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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.
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