Modelling and intelligent optimisation of production scheduling in VCIM systems
1st ed.
Author
Dao, Son Duy
Additional Author(s)
-
Publisher
Cham, Switzerland : Springer International Publishing, 2018
Language
English
ISBN
9783319721132
Series
Springer theses, recognizing outstanding Ph.D. research
Subject(s)
MACHINERY
MANUFACTURING INDUSTRIES
PRODUCTION SCHEDULING--DATA PROCESSING
Notes
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Abstract
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.
