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03135nam a2200541 4500 |
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978-3-319-72113-2 |
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DE-He213 |
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20191022011626.0 |
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171229s2018 gw | s |||| 0|eng d |
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|a 9783319721132
|9 978-3-319-72113-2
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|a 10.1007/978-3-319-72113-2
|2 doi
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|a TA177.4-185
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|a 658.5
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|a Dao, Son Duy.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
|h [electronic resource] /
|c by Son Duy Dao.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XVII, 147 p. 17 illus., 11 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a This 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.
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|a Engineering economics.
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|a Engineering economy.
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|a Computational intelligence.
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|a Manufactures.
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|a Business logistics.
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|a Engineering Economics, Organization, Logistics, Marketing.
|0 http://scigraph.springernature.com/things/product-market-codes/T22016
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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|a Manufacturing, Machines, Tools, Processes.
|0 http://scigraph.springernature.com/things/product-market-codes/T22050
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|a Logistics.
|0 http://scigraph.springernature.com/things/product-market-codes/519020
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319721125
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|i Printed edition:
|z 9783319721149
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|i Printed edition:
|z 9783319891415
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u https://doi.org/10.1007/978-3-319-72113-2
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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