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Modelling and intelligent optimisati...

Dao, Son Duy.

Modelling and intelligent optimisation of production scheduling in VCIM systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modelling and intelligent optimisation of production scheduling in VCIM systemsby Son Duy Dao.
Author:	Dao, Son Duy.
Published:	Cham :Springer International Publishing :2018.
Description:	xvii, 147 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Production schedulingData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-72113-2
ISBN:	9783319721132$q(electronic bk.)

Modelling and intelligent optimisation of production scheduling in VCIM systems
Dao, Son Duy.

Modelling and intelligent optimisation of production scheduling in VCIM systems[electronic resource] /by Son Duy Dao. - Cham :Springer International Publishing :2018. - xvii, 147 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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.

ISBN: 9783319721132$q(electronic bk.)

Standard No.: 10.1007/978-3-319-72113-2doiSubjects--Topical Terms:

295855
Production scheduling
--Data processing.

LC Class. No.: TS157.5 / .D36 2018

Dewey Class. No.: 658.5

Modelling and intelligent optimisation of production scheduling in VCIM systems
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