Artificial Intelligence and Lean Manufacturing

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,

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2022-04-26

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Description

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.
Pages
90 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2022-04-26
Marque
Springer
EAN papier
9783031045820
EAN PDF
9783031045837

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1782 Ko
Prix
52,74 €
EAN EPUB
9783031045837

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
11407 Ko
Prix
52,74 €