This book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to those without a background in AI. This book addresses this need by providing a systematic review of the latest research and advancements in XAI specifically tailored for the manufacturing industry.
The book includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing.
Table of Content
Chapter 1: Explainable Artificial Intelligence (XAI) in Manufacturing.- Chapter 2: Applications of XAI for Forecasting in the Manufacturing Domain.- Chapter 3: Applications of XAI for Decision Making in the Manufacturing Domain.- Chapter 4: Applications of XAI to Job Sequencing and Scheduling in Manufacturing.
About the author
Dr. Tin-Chih Toly Chen has guest edited special issues on advanced AI for various journals including Fuzzy Sets and Systems, Robotics and Computer-Integrated Manufacturing, Journal of Intelligent Manufacturing and International Journal of Intelligent Systems. He has also published papers on AI applications in manufacturing in journals such as Journal of Intelligent Manufacturing, Robotics and Computer-Integrated Manufacturing, IEEE Transactions on Fuzzy Systems, International Journal of Advanced Manufacturing Technology, and IEEE Transactions on Semiconductor Manufacturing.
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