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

Duffuaa, S. O. and Mujahid, S.N. 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
Date Type:Publication
Subjects:Systems
Divisions:College Of Computer Sciences and Engineering > Systems Engineering Dept
Creators:Duffuaa, S. O. and Mujahid, S.N.
Email:duffuaa@ccse.kfupm.edu.sa, smujahid@kfupm.edu.sa
ID Code:1957
Deposited By:SYED AMEENUDDIN HUSSAIN
Deposited On:11 Jun 2008 10:39
Last Modified:12 Apr 2011 13:11

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