Explainable and Customizable Job Sequencing and Scheduling: Advancing Production Control and Management with XAI

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Abstract

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.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-126
Number of pages126
DOIs
StatePublished - 2025

Publication series

NameSpringerBriefs in Applied Sciences and Technology
VolumePart F290
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

Keywords

  • Bio-inspired Algorithm
  • Explainable Artificial Intelligence
  • Human System Interaction
  • Job Sequencing and Scheduling
  • Operations Research
  • Production Control and Management

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