Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems / by Son Duy Dao

By:

Dao, Son Duy [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Springer Theses, Recognizing Outstanding Ph.D. Research | SpringerLink Bücher | Springer eBook Collection EngineeringPublisher: Cham : Springer, 2018Description: Online-Ressource (XVII, 147 p. 17 illus., 11 illus. in color, online resource)ISBN:

9783319721132

Subject(s):

Additional physical formats: 9783319721125 | Erscheint auch als: 978-3-319-72112-5 Druck-Ausgabe | Printed edition: 9783319721125 LOC classification:

TA177.4-185

DOI: DOI: 10.1007/978-3-319-72113-2Online resources:

Summary: 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 studyPPN: PPN: 1658623193Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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