@article{You_Chong_Lin_2018, title={Performance of Side Sensitive Group Runs Chart based on Exact and Random Process Shifts}, volume={47}, url={https://www.ajs.or.at/index.php/ajs/article/view/832}, DOI={10.17713/ajs.v47i4.832}, abstractNote={<p>A control chart is a crucial statistical tool that is typically used to monitor a process, in<br>an effort to reduce variation. It is necessary to practically evaluate the overall performance<br>of a control chart. Evaluation reveals the effciency of a control chart to detect a process<br>shift. This influences practitioners’ decisions on the choice of a control chart. The usual<br>practice taken to evaluate the performance of a control chart is to use the average run<br>length (ARL). The assumption for using the ARL as a performance measure is that the<br>shift size is known in advance. Determining the shift size can be restrictive, particularly<br>in the case practitioners do not have prior knowledge about the process. In view of this,<br>the expected ARL (EARL) is employed as a performance measure for the random process<br>mean shift. In this article, the overall performance of the side sensitive group runs (SSGR)<br>chart is investigated in terms of EARL. Moreover, the optimal design for the SSGR chart<br>based on minimising the EARL is proposed.</p>}, number={4}, journal={Austrian Journal of Statistics}, author={You, Huay Woon and Chong, Michael Khoo Boon and Lin, Chong Zhi}, year={2018}, month={Jun.}, pages={81–87} }