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Artificial Intelligence and Lean Manufacturing

E-BookPDF1 - PDF WatermarkE-Book
90 Seiten
Englisch
Springer International Publishingerschienen am26.04.20221st ed. 2022
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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Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThis 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.
Details
Weitere ISBN/GTIN9783031045837
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2022
Erscheinungsdatum26.04.2022
Auflage1st ed. 2022
Seiten90 Seiten
SpracheEnglisch
IllustrationenVI, 90 p. 60 illus., 42 illus. in color.
Artikel-Nr.9066263
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1. Basics in Lean Management.- Chapter 2. AI in Manufacturing.- Chapter 3. AI Applications to Kaizen Management.- Chapter 4. AI Applications to Pull Manufacturing and JIT.- Chapter 5. AI Applications to Production Leveling.- Chapter 6. AI Applications to Shop Floor Management: 5S, Kanban, SMED.- Chapter 7. AI Applications to Value Stream Mapping.mehr