000 | 02933nam a22004935i 4500 | ||
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001 | 978-3-319-18738-9 | ||
003 | DE-He213 | ||
005 | 20200420220218.0 | ||
007 | cr nn 008mamaa | ||
008 | 150613s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319187389 _9978-3-319-18738-9 |
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024 | 7 |
_a10.1007/978-3-319-18738-9 _2doi |
|
050 | 4 | _aTK1-9971 | |
072 | 7 |
_aTJK _2bicssc |
|
072 | 7 |
_aTEC041000 _2bisacsh |
|
082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aDuan, Qing. _eauthor. |
|
245 | 1 | 0 |
_aData-Driven Optimization and Knowledge Discovery for an Enterprise Information System _h[electronic resource] / _cby Qing Duan, Krishnendu Chakrabarty, Jun Zeng. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
300 |
_aXII, 160 p. 76 illus., 47 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion. | |
520 | _aThis book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process time and status prediction, order admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aInformation storage and retrieval. | |
650 | 0 | _aElectrical engineering. | |
650 | 0 | _aElectronic circuits. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aCommunications Engineering, Networks. |
650 | 2 | 4 | _aCircuits and Systems. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
700 | 1 |
_aChakrabarty, Krishnendu. _eauthor. |
|
700 | 1 |
_aZeng, Jun. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319187372 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-18738-9 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c51734 _d51734 |