03698nam a22005775i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172050002000186072001700206072002300223072001600246245011400262250001800376264007200394300006700466336002600533337002600559338003600585347002400621490006400645505083500709520073001544650002502274650002102299650002302320650001802343650002802361650003402389650003502423650003202458650003402490650003402524700007802558700007702636700008302713710003402796773002602830776003602856776003602892776003602928830006402964856004603028912001403074912001503088999001703103978-981-97-0665-5DE-He21320251030111442.0cr nn 008mamaa240224s2024    si |    s    |||| 0|eng d  a97898197066559978-981-97-0665-57 a10.1007/978-981-97-0665-52doi 4aTJ212-225 4aTJ210.2-211.495 7aTJFM2bicssc 7aTEC0070002bisacsh 7aTJFM2thema10aAdvanced Manufacturing and Automation XIIIh[electronic resource] /cedited by Yi Wang, Tao Yu, Kesheng Wang.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIX, 756 p. 480 illus., 369 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Electrical Engineering,x1876-1119 ;v11540 aIndustry 4.0 and 5.0 -- Robotics and Automation -- AI & Computational Intelligence -- Intelligent Manufactory -- Design and Optimization -- Product Life-cycle Management -- Advanced Manufacturing Systems -- Manufacturing Operations Management -- Smart Aquaculture Technology -- Knowledge Management and Decision Making -- Manufacturing Quality Control and Management -- Sustainable Production -- Diagnosis and Prognosis of Machines -- Lean and Agile Manufacturing -- Virtual and Grid Manufacturing -- Resource and Asset Management -- Logistics and Supply Chain Management -- Fashion Logistics and Marketing -- RFID Applications -- Predictive and Cognitive Maintenance -- 3D Printing -- Intelligent Inspection -- Chemical Process Equipment -- Parallel Mechanism and Manipulator -- Integration of CAD/CAPP/CAM/CIMS -- Smart Factory.  aThe book is a compilation of selected papers from the 13th International Workshop of Advanced Manufacturing and Automation (IWAMA 2023), held in Shanghai University of Engineering Science, China on 15 - 16 October, 2023. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineers to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories. 0aControl engineering. 0aRobotics.959148 0aAutomation.959149 0aManufactures. 0aIndustrial engineering. 0aIndustrial Management.95819714aControl, Robotics, Automation.24aMachines, Tools, Processes.24aIndustrial Automation.96658524aIndustrial Management.9581971 aWang, Yi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9657311 aYu, Tao.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9716791 aWang, Kesheng.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9716802 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981970664808iPrinted edition:z978981970666208iPrinted edition:z9789819706679 0aLecture Notes in Electrical Engineering,x1876-1119 ;v115440uhttps://doi.org/10.1007/978-981-97-0665-5  aZDB-2-INR  aZDB-2-SXIT  c57854d57854