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Artificial Intelligence and Lean Manufacturing

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Artificial Intelligence and Lean Manufacturing Synopsis

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.

About This Edition

ISBN: 9783031045820
Publication date:
Author: TinChih Toly Chen, YiChi Wang
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 82 pages
Series: SpringerBriefs in Applied Sciences and Technology
Genres: Production and industrial engineering
Production and quality control management
Purchasing and supply management
Cybernetics and systems theory
Technical design
Electronics engineering
Computer networking and communications