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Explainable and Customizable Job Sequencing and Scheduling

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Explainable and Customizable Job Sequencing and Scheduling Synopsis

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.

About This Edition

ISBN: 9783031853739
Publication date:
Author: TinChih Toly Chen
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Paperback
Pagination: 126 pages
Series: SpringerBriefs in Applied Sciences and Technology
Genres: Production and industrial engineering
Expert systems / knowledge-based systems
Human–computer interaction
Data mining
Artificial intelligence

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