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Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
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Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Softcover reprint of the original 1st ed. 2018

Book Details

Format Paperback / Softback
Book Series Springer Theses
ISBN-10 3319891413
ISBN-13 9783319891415
Edition Softcover reprint of the original 1st ed. 2018
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture CH
Country of Publication GB
Publication Date Jun 6th, 2019
Print length 147 Pages
Ksh 16,200.00
Werezi Extended Catalogue 0 in stock

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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.
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.

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