This book applies artificial intelligence to lean production and shows how to practically combine the advantages of these two disciplines.
Lean manufacturing originated in Japan and is a well-known tool for improving manufacturers' competitiveness. Prevalent tools for lean manufacturing include Kanban, Pacemaker, Value Stream Map, 5s, Just-in-Time and Pull Manufacturing. Lean Manufacturing and the Toyota Manufacturing System has been successfully applied to various factories and supply chains around the world. A lean manufacturing system can not only reduce wastes and inventory, but also respond to customer needs more immediately. Artificial intelligence is a subject that has attracted much attention recently. Many researchers and practical developers are working hard to apply artificial intelligence to our daily lives, including in factories. For example, fuzzy rules have been established to optimize machine settings. Bionic algorithms have been proposed to solve production sequencing and scheduling problems. Machine learning technologies are applied to detect possible product quality problems and diagnose the health of a machine.
This book will be of interest to production engineers, managers, as well as students and researchers in manufacturing engineering.
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Professor Tin-Chih Toly Chen received his Ph. D. degree in industrial engineering from National Tsin Hua University. He is now a distinguished professor in the Department of Industrial Engineering and Management at the National Chiao Tung University. He has published over one hundred papers, including multiple papers on 3D printing and UM in journals such as Robotics and Computer-Integrated Manufacturing, the Journal of Intelligent Manufacturing, the Rapid Prototyping Journal, and the International Journal of Intelligent Systems. He has also guest edited several special issues on related topics in these journals. Professor Chen is the founding editor of the International Journal of Fuzzy System Applications and the founding president of Ambient Intelligence Association of Taiwan.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book applies artificial intelligence to lean production and shows how to practically combine the advantages of these two disciplines.Lean manufacturing originated in Japan and is a well-known tool for improving manufacturers' competitiveness. Prevalent tools for lean manufacturing include Kanban, Pacemaker, Value Stream Map, 5s, Just-in-Time and Pull Manufacturing. Lean Manufacturing and the Toyota Manufacturing System has been successfully applied to various factories and supply chains around the world. A lean manufacturing system can not only reduce wastes and inventory, but also respond to customer needs more immediately. Artificial intelligence is a subject that has attracted much attention recently. Many researchers and practical developers are working hard to apply artificial intelligence to our daily lives, including in factories. For example, fuzzy rules have been established to optimize machine settings. Bionic algorithms have been proposed to solve production sequencing and scheduling problems. Machine learning technologies are applied to detect possible product quality problems and diagnose the health of a machine.This book will be of interest to production engineers, managers, as well as students and researchers in manufacturing engineering. Artikel-Nr. 9783031045820
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Taschenbuch. Zustand: Neu. Artificial Intelligence and Lean Manufacturing | Tin-Chih Toly Chen (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | vi | Englisch | 2022 | Springer | EAN 9783031045820 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 121368568
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