Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function. 2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT. pp. 1204-1208.
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Abstract
In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. It is assumed that the desired quality characteristics cannot be measured directly and has to be calculated indirectly from multi-input process parameters. A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example.
| Item Type: | Article |
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| Subjects: | Systems |
| Department: | College of Computing and Mathematics > lndustrial and Systems Engineering |
| Depositing User: | SYED AMEENUDDIN HUSSAIN |
| Date Deposited: | 11 Jun 2008 07:39 |
| Last Modified: | 01 Nov 2019 13:29 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/1957 |