APPROACHES FOR PROBLEM DIAGNOSIS VIA STATISTICAL PROCESS CONTROL CHARTS

Bülent KOÇER; Burak BİRGÖREN

Makale detayları

APPROACHES FOR PROBLEM DIAGNOSIS VIA STATISTICAL PROCESS CONTROL CHARTS

Yazarlar:

Bülent KOÇER | Burak BİRGÖREN

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2004 Vol.17 Issue 4, pp.59-69

Belge Tipi:

Makale

Yayın Tarihi:

8/2010

Belge Dili:

İngilizce

Document ID (Org No.):

2000430267

eISSN:

2147-1762

Özet:

 


ABSTRACT 

Statistical process control charts aim  to detect out-of-control signals which indicate existence of special causes effecting the process. Once such a signal is detected, the interpretation of the signal, that is, discovering the actual causes behind the signal, rests upon the shoulders  of operators or engineers. Recently, some techniques have been developed  for making this interpretation process easier. This study presents an overview of such techniques in three categories: traditional one-variable control charts, artificial neural network applications and 

multivariate control charts.  

 

Key Words: SPC  charts, out-of-control signal,  problem diagnosis 

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Makale detayları

APPROACHES FOR PROBLEM DIAGNOSIS VIA STATISTICAL PROCESS CONTROL CHARTS

Yazarlar: Bülent KOÇER | Burak BİRGÖREN

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2004 Vol.17 Issue 4, pp.59-69

Belge Tipi: Makale

Yayın Tarihi: 8/2010

Belge Dili: İngilizce

Document ID (Org No.): 2000430267

eISSN: 2147-1762

Sayı

Yazarlar:

Bülent KOÇER | Burak BİRGÖREN

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2004 Vol.17 Issue 4, pp.59-69

Belge Tipi:

Makale

Yayın Tarihi:

8/2010

Belge Dili:

İngilizce

Document ID (Org No.):

2000430267

eISSN:

2147-1762