| 000 | 02953nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-72113-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221149.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171229s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319721132 _9978-3-319-72113-2 |
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| 024 | 7 |
_a10.1007/978-3-319-72113-2 _2doi |
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| 050 | 4 | _aHD28-70 | |
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_aTBC _2bicssc |
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_a658.5 _223 |
| 100 | 1 |
_aDao, Son Duy. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _954459 |
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| 245 | 1 | 0 |
_aModelling and Intelligent Optimisation of Production Scheduling in VCIM Systems _h[electronic resource] / _cby Son Duy Dao. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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| 300 |
_aXVII, 147 p. 17 illus., 11 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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| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
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| 520 | _aThis thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study. | ||
| 650 | 0 |
_aIndustrial Management. _95847 |
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| 650 | 0 |
_aComputational intelligence. _97716 |
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| 650 | 0 |
_aManufactures. _931642 |
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| 650 | 0 |
_aBusiness logistics. _94995 |
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| 650 | 1 | 4 |
_aIndustrial Management. _95847 |
| 650 | 2 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aMachines, Tools, Processes. _931645 |
| 650 | 2 | 4 |
_aLogistics. _933590 |
| 710 | 2 |
_aSpringerLink (Online service) _954460 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319721125 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319721149 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319891415 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 _954461 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-72113-2 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
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_c79362 _d79362 |
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