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Advanced Manufacturing and Automation IX

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced Manufacturing and Automation IX/ edited by Yi Wang, Kristian Martinsen, Tao Yu, Kesheng Wang.
其他作者:	Wang, Kesheng.
面頁冊數:	XX, 681 p. 434 illus., 318 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-981-15-2341-0
ISBN:	9789811523410

Advanced Manufacturing and Automation IX
Advanced Manufacturing and Automation IX[electronic resource] /edited by Yi Wang, Kristian Martinsen, Tao Yu, Kesheng Wang. - 1st ed. 2020. - XX, 681 p. 434 illus., 318 illus. in color.online resource. - Lecture Notes in Electrical Engineering,6341876-1100 ;. - Lecture Notes in Electrical Engineering,317.

Robotics and Automation -- Chemical Process Equipment -- Parallel Mechanism and Manipulator -- Computational Intelligence -- Design and Optimization -- Product Life-cycle Management -- Integration of CAD/CAPP/CAM/CIMS -- Advanced Manufacturing Systems -- Manufacturing Operations Management -- Knowledge-based Manufacturing -- Manufacturing Quality Control and Management -- Sustainable Production -- Diagnosis and Prognosis of Machines -- Industry 4.0 -- Lean and Agile Manufacturing -- Virtual and Grid Manufacturing -- Resource and Asset Management -- Logistics and Supply Chain Management -- EEG and Eye Tracking for Cognitive Applications -- RFID Applications -- Predictive Maintenance -- Reliability and Maintainability in Manufacturing -- Project Management -- Renewable Energy Development -- Knowledge Management and Decision Making -- Intelligent Inspection.

This book presents selected papers from the 9th International Workshop of Advanced Manufacturing and Automation (IWAMA 2019), held in Plymouth, UK, on November 21–22, 2019. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.

ISBN: 9789811523410

Standard No.: 10.1007/978-981-15-2341-0doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

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