Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function. ENGINEERING MANAGEMENT, 1-4. 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 |
|---|---|
| Subjects: | Systems |
| Department: | College of Computing and Mathematics > lndustrial and Systems Engineering |
| Depositing User: | MR. ATIQ WALIULLAH SIDDIQUI |
| Date Deposited: | 11 Jun 2008 04:55 |
| Last Modified: | 01 Nov 2019 13:43 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/2396 |