000 03361nam a22004455i 4500
999 _c119364
_d119364
001 119364
003 ES-MaUEC
005 20240111050203.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 200310s2020 gw | s |||| 0|eng d
020 _a9783030404178
024 7 _a10.1007/978-3-030-40417-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _a TA347.A78
_b2020 EB
245 0 0 _aTowards Industry 4.0 - Current Challenges in Information Systems
_cedited by Marcin Hernes, Artur Rot, Dorota Jelonek.
250 _aFirst edition 2020.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XII, 266 páginas)
_b50 ilustraciones, 31 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v887
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aTowards Industry 4.0: Functional and Technological Basis for ERP 4.0 Systems -- Statistic-Based Method for Budgetary Control Limits Setting - Renewed Approach in the Context of Industry 4.0 -- Supporting Investment Decisions Based on Cognitive Technology -- Intelligent Support of Accounting IT Systems in Modern Enterprises -- On Quality Assessment of Websites Offering Mobile Applications -- Prospects and Limitations of the Use of Blockchain-options for the Supply of Electricity -- Supporting Investment Decisions Based on Cognitive Technology -- Conceptual Foundations for the TBDA Implementation Methodology in Organizations.
520 3 _aThis book discusses various aspects of Industry 4.0 from the perspective of information system evolution. Industry 4.0 refers to a new phase in the industrial revolution that relies heavily on interconnectivity, automation, machine learning, real-time data, the Internet of Things and blockchain technology. The interdisciplinary book addresses a number of topics related to modern information technologies, and presents innovative concepts, methods, models and tools for the development of information systems to support Industry 4.0. Focusing on artificial intelligence, collective knowledge processing and blockchain technology, it appeals to a wide readership, including researchers, students, business managers and professionals, software developers, as well as IT and management specialists. .
988 _aSpringer_Robotics_31032020
650 7 _2embne
_aInteligencia artificial
_xAplicaciones en la industria
_9413115
700 1 _aHernes, Marcin
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRot, Artur
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJelonek, Dorota
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted edition:
_z9783030404161
776 0 8 _iPrinted edition:
_z9783030404185
776 0 8 _iPrinted edition:
_z9783030404192
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-40417-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_eh
_zSI