TY - CHAP
T1 - Explainable and Customizable Job Sequencing and Scheduling
T2 - Advancing Production Control and Management with XAI
AU - Chen, Tin Chih Toly
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Bio-inspired Algorithm
KW - Explainable Artificial Intelligence
KW - Human System Interaction
KW - Job Sequencing and Scheduling
KW - Operations Research
KW - Production Control and Management
UR - https://www.scopus.com/pages/publications/105004888298
U2 - 10.1007/978-3-031-85374-6
DO - 10.1007/978-3-031-85374-6
M3 - Chapter
AN - SCOPUS:105004888298
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 1
EP - 126
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -