Author Dao, Son Duy Additional authorUnknown Publisher Springer International Publishing (Cham, Switzerland , 2018) Language(eng) English ISBN9783319721132 SeriesSpringer theses, recognizing outstanding Ph.D. research Edition1st ed. SubjectPRODUCTION SCHEDULING--DATA PROCESSING; NoteUnknown AbstractThis 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.

Number of pages1 online resource (xvii, 147 p.) DimensionUnknown Other descriptionill. (in color.)