Explainable Artificial Intelligence (XAI) in Manufacturing [electronic resource] : Methodology, Tools, and Applications / by Tin-Chih Toly Chen.

Por: Chen, Tin-Chih Toly [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries SpringerBriefs in Applied Sciences and TechnologyEditor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: VI, 105 p. 68 illus., 50 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031279614Tema(s): Industrial engineering | Production engineering | Production management | Artificial intelligence | Industrial and Production Engineering | Production | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 670 Clasificación LoC:T55.4-60.8Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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.

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