| 000 | 03071nam a22004095c 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c115335 _d115335 _x1 |
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| 001 | 115335 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230104140009.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190821s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783030257781 | ||
| 024 | 7 |
_a10.1007/978-3-030-25778-1 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aHD2326 _b2020 EB |
|
| 245 | 0 | 0 |
_aNew Paradigm of Industry 4.0 : _bInternet of Things, Big Data & Cyber Physical Systems _cedited by Srikanta Patnaik. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2020. |
|
| 300 | _a1 recurso en línea (XI, 180 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aStudies in Big Data _x2197-6503 _v64 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _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. | |
| 520 | 3 | _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. | |
| 650 | 7 |
_2embne _aMicroeconomía _9138687 |
|
| 700 | 1 |
_aPatnaik, Srikanta _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030257774 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030257798 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030257804 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-25778-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _ea _zSI |
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