001435657 000__ 04442cam\a2200565\i\4500
001435657 001__ 1435657
001435657 003__ OCoLC
001435657 005__ 20230309003946.0
001435657 006__ m\\\\\o\\d\\\\\\\\
001435657 007__ cr\cn\nnnunnun
001435657 008__ 210410s2021\\\\sz\\\\\\ob\\\\000\0\eng\d
001435657 020__ $$a9783030672706$$q(electronic bk.)
001435657 020__ $$a3030672700$$q(electronic bk.)
001435657 020__ $$z9783030672690$$q(print)
001435657 0247_ $$a10.1007/978-3-030-67270-6$$2doi
001435657 035__ $$aSP(OCoLC)1245669842
001435657 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dOCLCO$$dGW5XE$$dOCLCO$$dEBLCP$$dYDX$$dOCLCF$$dOCLCQ$$dOCL$$dOCLCO$$dN$T$$dUKAHL$$dVLB$$dOCLCQ$$dOCLCO$$dOCLCQ
001435657 049__ $$aISEA
001435657 050_4 $$aT59.6$$b.I47 2021eb
001435657 08204 $$a670.285$$223
001435657 24500 $$aImplementing industry 4.0 :$$bthe model factory as the key enabler for the future of manufacturing /$$cCarlos Toro, Wei Wang, Humza Akhtar, editors.
001435657 264_1 $$aCham :$$bSpringer,$$c2021.
001435657 264_4 $$c©2021
001435657 300__ $$a1 online resource (xviii, 418 pages)
001435657 336__ $$atext$$btxt$$2rdacontent
001435657 337__ $$acomputer$$bc$$2rdamedia
001435657 338__ $$aonline resource$$bcr$$2rdacarrier
001435657 4901_ $$aIntelligent Systems Reference Library ;$$vv. 202
001435657 504__ $$aIncludes bibliographical references.
001435657 50500 $$tA Framework to Support Manufacturing Digitalization --$$tReal-Time Asset Tracking for Smart Manufacturing --$$tUnified IIoT Cloud Platform for Smart Factory --$$tA Perspective into Analysing Tool Wear Condition in Hard-Turning Process-The Key Lessons Learnt --$$tCondition Monitoring for Predictive Maintenance of Machines and Processes in ARTC Model Factory --$$tFederated Learning for Advanced Manufacturing Based on Industrial IoT Data Analytics --$$tGeneralized Anomaly Detection Algorithm Based on Time Series Statistical Features --$$tOnline Overall Equipment Effectiveness (OEE) Improvement Using Data Analytics Techniques for CNC Machines --$$tA Review of Dynamic Scheduling: Context, Techniques and Prospects --$$tDigital Twin Architecture and Development Trends on Manufacturing Topologies --$$tDiscrete Event Simulation as a Robust Supporting Tool for Smart Manufacturing --$$tFacility Layout Optimization in Fast Moving Consumer Goods (FMCG) Industry --$$tBlockchain for Secure and Transparent Track-and-Trace in Manufacturing --$$tAn Implementation of Blockchain Decentralized Application for Industrial IoT Scenarios --$$tModel Factory@SIMTech--Sense and Response Manufacturing for Industry 4.0.
001435657 506__ $$aAccess limited to authorized users.
001435657 520__ $$aThis book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.
001435657 650_0 $$aIndustry 4.0.
001435657 650_0 $$aManufacturing processes$$xTechnological innovations.
001435657 650_0 $$aInternet of things.
001435657 650_6 $$aIndustrie 4.0.
001435657 650_6 $$aFabrication$$xInnovations.
001435657 650_6 $$aInternet des objets.
001435657 655_0 $$aElectronic books.
001435657 7001_ $$aToro, Carlos$$c(Computer science researcher)
001435657 7001_ $$aWang, Wei.
001435657 7001_ $$aAkhtar, Humza.
001435657 77608 $$iPrint version:$$aToro, Carlos.$$tImplementing Industry 4. 0.$$dCham : Springer International Publishing AG, ©2021$$z9783030672690
001435657 830_0 $$aIntelligent systems reference library ;$$vv. 202.
001435657 852__ $$bebk
001435657 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-67270-6$$zOnline Access$$91397441.1
001435657 909CO $$ooai:library.usi.edu:1435657$$pGLOBAL_SET
001435657 980__ $$aBIB
001435657 980__ $$aEBOOK
001435657 982__ $$aEbook
001435657 983__ $$aOnline
001435657 994__ $$a92$$bISE