Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function

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
Subjects: Systems
Divisions: College Of Computer Sciences and Engineering > Systems Engineering Dept
Depositing User: SYED AMEENUDDIN HUSSAIN
Date Deposited: 11 Jun 2008 10:39
Last Modified: 01 Nov 2019 16:29
URI: http://eprints.kfupm.edu.sa/id/eprint/1957