Article (Scientific journals)
Multiobjective Genetic Algorithm Approach to the Economic Statistical Design of Control Charts with an application to Xbar and S2 charts
Faraz, Alireza; Saniga, Erwin
2013In Quality and Reliability Engineering International, 29 (3), p. 407-415
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Keywords :
Multiobjective Optimization; Genetic Algorithm; Economic Statistical Design; Control Charts
Abstract :
[en] Control charts are the primary tools of statistical process control. These charts may be designed by using a simple rule suggested by Shewhart, by a statistical criterion, an economic criterion or a joint economic-statistical criterion. Each method has its strengths and weaknesses. One weakness of the methods of design listed above is their lack of flexibility and adaptability, a primary objective of practical mathematical models. In this paper, we explore multi objective models as an alternative for the methods listed above. These provide a set of optimal solutions rather than a single optimal solution and thus allow the user to tailor their solution to the temporal imperative of a specific industrial situation. We present a solution to a well known industrial problem and compare optimal multi objective designs to economic designs, statistical designs, economic statistical designs and heuristic designs.
Disciplines :
Mathematics
Author, co-author :
Faraz, Alireza ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie
Saniga, Erwin;  Department of Business Administration, University of Delaware, Newark, Delaware 19716, USA
Language :
English
Title :
Multiobjective Genetic Algorithm Approach to the Economic Statistical Design of Control Charts with an application to Xbar and S2 charts
Alternative titles :
[en] MOESD joint Xbar & S2
Publication date :
April 2013
Journal title :
Quality and Reliability Engineering International
ISSN :
0748-8017
eISSN :
1099-1638
Publisher :
John Wiley & Sons
Volume :
29
Issue :
3
Pages :
407-415
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
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