Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	2018
First published:	2018
Authors:	Son Duy Dao
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	147
Edition:	1st ed. 2018
ISBN-13:	978-3-319-72112-5
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Business & Economics > Business & management > Management of specific areas > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-72112-7
Barcode:	9783319721125

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