Abstract
This dissertation has examined the suitability of using a genetic algorithm in combination with simulation to improve production planning in an actual manufacturing environment. Although classical genetic algorithms have performed well in benchmark tests, there have been very few successful implementations of genetic algorithms in business (Nissen 1995). The challenge in this study was to find practical methods to adapt the theoretical constructs of classical genetic algorithms for use in a commercial application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 1996 Springer Fachmedien Wiesbaden
About this chapter
Cite this chapter
Shiroma, P.J. (1996). Summary and Plans for Future Research. In: Efficient Production Planning and Scheduling. Information Engineering und IV-Controlling. Deutscher Universitätsverlag, Wiesbaden. https://doi.org/10.1007/978-3-663-08438-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-663-08438-9_7
Publisher Name: Deutscher Universitätsverlag, Wiesbaden
Print ISBN: 978-3-8244-6426-5
Online ISBN: 978-3-663-08438-9
eBook Packages: Springer Book Archive