Overview
- Nominated as an outstanding PhD thesis by the University of South Australia, Adelaide
- Reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems
- Presents a robust genetic algorithm for optimising production scheduling in VCIM systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
Keywords
- VCIM Production Scheduling Model
- Collaborative Shipment Scheduling
- Partner Selection
- Multiple Product Orders
- Multiple Objective Functions
- Stochastic Model
- Genetic Algorithm
- Unique Chromosome Encoding
- Innovative Algorithm Structure
- Adaptive Stop-and-Restart-with-Memory Mechanism
- Engineering Economics
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
Authors: Son Duy Dao
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-72113-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-72112-5Published: 30 January 2018
Softcover ISBN: 978-3-319-89141-5Published: 06 June 2019
eBook ISBN: 978-3-319-72113-2Published: 27 December 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 147
Number of Illustrations: 6 b/w illustrations, 11 illustrations in colour
Topics: Engineering Economics, Organization, Logistics, Marketing, Computational Intelligence, Manufacturing, Machines, Tools, Processes, Logistics