000922563 000__ 03199cam\a2200481Ii\4500 000922563 001__ 922563 000922563 005__ 20230306150842.0 000922563 006__ m\\\\\o\\d\\\\\\\\ 000922563 007__ cr\cn\nnnunnun 000922563 008__ 190913s2020\\\\sz\\\\\\ob\\\\000\0\eng\d 000922563 020__ $$a9783030257781$$q(electronic book) 000922563 020__ $$a3030257789$$q(electronic book) 000922563 020__ $$z9783030257774 000922563 0247_ $$a10.1007/978-3-030-25778-1$$2doi 000922563 035__ $$aSP(OCoLC)on1119537681 000922563 035__ $$aSP(OCoLC)1119537681 000922563 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKMGB$$dN$T$$dOCLCF$$dYDX$$dSFB 000922563 049__ $$aISEA 000922563 050_4 $$aHD2326$$b.N48 2020eb 000922563 08204 $$a338.6$$223 000922563 24500 $$aNew paradigm of industry 4.0 :$$bInternet of things, big data & cyber physical systems /$$cSrikanta Patnaik, editor. 000922563 264_1 $$aCham :$$bSpringer,$$c[2020] 000922563 264_4 $$c©2020 000922563 300__ $$a1 online resource. 000922563 336__ $$atext$$btxt$$2rdacontent 000922563 337__ $$acomputer$$bc$$2rdamedia 000922563 338__ $$aonline resource$$bcr$$2rdacarrier 000922563 4901_ $$aStudies in big data,$$x2197-6503 ;$$vvolume 64 000922563 504__ $$aIncludes bibliographical references. 000922563 5050_ $$aManagement of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm.- Role of Industry 4.0 in Performance Improvement of Furniture Cluster.- Imparting Industry 4.0 Education using Open Source Tools: A Case.- Decision support framework for smart implementation of green supply chain management practices.- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry.- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers.- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach.- Green IS -- Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture. 000922563 506__ $$aAccess limited to authorized users. 000922563 520__ $$aThe book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike. 000922563 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 13, 2019). 000922563 650_0 $$aIndustrial organization (Economic theory) 000922563 650_0 $$aIndustries$$xTechnological innovations$$y21st century. 000922563 650_0 $$aInternet of things. 000922563 650_0 $$aBig data. 000922563 7001_ $$aPatnaik, Srikanta,$$eeditor. 000922563 830_0 $$aStudies in big data ;$$vv. 64. 000922563 852__ $$bebk 000922563 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-25778-1$$zOnline Access$$91397441.1 000922563 909CO $$ooai:library.usi.edu:922563$$pGLOBAL_SET 000922563 980__ $$aEBOOK 000922563 980__ $$aBIB 000922563 982__ $$aEbook 000922563 983__ $$aOnline 000922563 994__ $$a92$$bISE