000 | 03425nam a22006135i 4500 | ||
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001 | 978-3-031-14065-5 | ||
003 | DE-He213 | ||
005 | 20240207153442.0 | ||
007 | cr nn 008mamaa | ||
008 | 220919s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031140655 _9978-3-031-14065-5 |
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100 | 1 |
_aChen, Tin-Chih Toly. _eauthor. _0(orcid)0000-0002-5608-5176 _1https://orcid.org/0000-0002-5608-5176 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aProduction Planning and Control in Semiconductor Manufacturing _h[electronic resource] : _bBig Data Analytics and Industry 4.0 Applications / _cby Tin-Chih Toly Chen. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
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300 |
_aVI, 100 p. 79 illus., 58 illus. in color. _bonline resource. |
||
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 |
||
490 | 1 |
_aSpringerBriefs in Applied Sciences and Technology, _x2191-5318 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _aChapter 1. Big Data Analytics for Semiconductor Manufacturing -- Chapter 2. Industry 4.0 for Semiconductor Manufacturing -- Chapter 3. Cycle Time Prediction and Output Projection -- Chapter 4. Defect Pattern Analysis, Yield Learning Modeling and Yield Prediction -- Chapter 5. Job Sequencing and Scheduling. | |
520 | _aThis book systematically analyzes the applicability of big data analytics and Industry 4.0 from the perspective of semiconductor manufacturing management. It reports in real examples and presents case studies as supporting evidence. In recent years, technologies of big data analytics and Industry 4.0 have been frequently applied to the management of semiconductor manufacturing. However, related research results are mostly scattered in various journal issues or conference proceedings, and there is an urgent need for a systematic integration of these results. In addition, many related discussions have placed too much emphasis on the theoretical framework of information systems rather than on the needs of semiconductor manufacturing management. This book addresses these issues. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 0 | _aInternet of things. | |
650 | 0 | _aProduction management. | |
650 | 0 | _aCooperating objects (Computer systems). | |
650 | 0 | _aSemiconductors. | |
650 | 1 | 4 | _aIndustrial and Production Engineering. |
650 | 2 | 4 | _aInternet of Things. |
650 | 2 | 4 | _aProduction . |
650 | 2 | 4 | _aCyber-Physical Systems. |
650 | 2 | 4 | _aSemiconductors. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031140648 |
776 | 0 | 8 |
_iPrinted edition: _z9783031140662 |
830 | 0 |
_aSpringerBriefs in Applied Sciences and Technology, _x2191-5318 |
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856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-14065-5 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c260335 _d260334 |