| 期刊全稱 | Artificial Intelligence and Lean Manufacturing | | 影響因子2023 | Tin-Chih Toly Chen,Yi-Chi Wang | | 視頻video | http://file.papertrans.cn/163/162229/162229.mp4 | | 發(fā)行地址 | Provides technical details on the application of artificial intelligence to lean manufacturing.Is relevant to researchers in Industry 4.0, cyber-physical systems, lean manufacturing, artificial intell | | 學(xué)科分類(lèi) | SpringerBriefs in Applied Sciences and Technology | | 圖書(shū)封面 |  | | 影響因子 | .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 | | Pindex | Book 2022 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-9 14:33
發(fā)表于 2025-3-21 18:00:44
