@article{article_97050, title={APPROACHES FOR PROBLEM DIAGNOSIS VIA STATISTICAL PROCESS CONTROL CHARTS}, journal={Gazi University Journal of Science}, volume={17}, pages={59–69}, year={2010}, author={Koçer, Bülent and Birgören, Burak}, keywords={SPC charts, out-of-control signal, problem diagnosis}, abstract={<p class="MsoNormal" style="margin: 0cm 0cm 0pt; text-align: justify;"> <span style="font-size: small; font-family: Times New Roman;">ABSTRACT </span> </p> <p class="MsoNormal" style="margin: 0cm 0cm 0pt; text-align: justify;"> <span style="font-size: small; font-family: Times New Roman;">Statistical process control charts aim <span style="mso-spacerun: yes;">  </span>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 <span style="mso-spacerun: yes;">  </span>of operators or engineers. Recently, some techniques have been developed <span style="mso-spacerun: yes;">  </span>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 </span> </p> <p class="MsoNormal" style="margin: 0cm 0cm 0pt; text-align: justify;"> <span style="font-size: small;"> <span style="font-family: Times New Roman;">multivariate control charts. <span style="mso-spacerun: yes;">  </span> </span> </span> </p> <p class="MsoNormal" style="margin: 0cm 0cm 0pt; text-align: justify;"> <span style="mso-spacerun: yes;"> <span style="font-size: small; font-family: Times New Roman;">  </span> </span> </p> <p class="MsoNormal" style="margin: 0cm 0cm 0pt; text-align: justify;"> <span style="font-size: small; font-family: Times New Roman;">Key Words: SPC <span style="mso-spacerun: yes;">  </span>charts, out-of-control signal, <span style="mso-spacerun: yes;">  </span>problem diagnosis </span> </p>}, number={4}, publisher={Gazi University}