Taguchi experimental design for manufacturing process optimisation using historical data and a neural network process model
Purpose - The paper describes the methods of manufacturing process optimization, using Taguchi experimental design methods with historical process data, collected during normal production. Design/methodology/approach - The objectives are achieved with two separate techniques: the Retrospective Taguc...
Saved in:
Main Authors: | Wimalin Sukthomya, James D T Tannock |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=20444488149&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62124 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
The optimisation of neural network parameters using Taguchi's design of experiments approach: An application in manufacturing process modelling
by: Wimalin Sukthomya, et al.
Published: (2018) -
The optimisation of neural network parameters using Taguchi's design of experiments approach: An application in manufacturing process modelling
by: Sukthomya W., et al.
Published: (2014) -
Modeling of the relationship between corporate social responsibility and stock price with artificial neural network
by: Duraya Sukthomya, et al.
Published: (2018) -
Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
by: Chua, Shun Jie.
Published: (2010) -
Reactive power optimisation using an analytic hierarchical process and a nonlinear optimisation neural network approach
by: Zhu, J.Z., et al.
Published: (2014)