Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Nonfiction, Science & Nature, Technology, Manufacturing, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems by Son Duy Dao, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Son Duy Dao ISBN: 9783319721132
Publisher: Springer International Publishing Publication: December 27, 2017
Imprint: Springer Language: English
Author: Son Duy Dao
ISBN: 9783319721132
Publisher: Springer International Publishing
Publication: December 27, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Taxation in Crisis by Son Duy Dao
Cover of the book Automotive Electronics Design Fundamentals by Son Duy Dao
Cover of the book Growth and Characterization of Bulk Superconductor Material by Son Duy Dao
Cover of the book Combatting Cybercrime and Cyberterrorism by Son Duy Dao
Cover of the book Technoliberalism and the End of Participatory Culture in the United States by Son Duy Dao
Cover of the book Corporate Governance and Contingency Theory by Son Duy Dao
Cover of the book Advances in Knowledge Discovery and Data Mining by Son Duy Dao
Cover of the book Coupling and Decoupling of Diverse Molecular Units in Glycosciences by Son Duy Dao
Cover of the book Integrated Spatial and Energy Planning by Son Duy Dao
Cover of the book Software Quality. Software and Systems Quality in Distributed and Mobile Environments by Son Duy Dao
Cover of the book Emerging Contaminants in River Ecosystems by Son Duy Dao
Cover of the book Methods of Solving Sequence and Series Problems by Son Duy Dao
Cover of the book Solving Hyperbolic Equations with Finite Volume Methods by Son Duy Dao
Cover of the book The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation by Son Duy Dao
Cover of the book Computer Vision – ACCV 2016 by Son Duy Dao
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy