Mixed Control Charts Using EWMA Statistics

Autor: Muhammad Aslam, Nasrullah Khan, Mansour Sattam Aldosari, Chi-Hyuck Jun
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: IEEE Access, Vol 4, Pp 8286-8293 (2016)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2016.2628915
Popis: In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution. The mixed control chart starts with monitoring the number of non-conforming items but switches to monitoring using exponentially weighted moving average (EWMA) statistic or hybrid EWMA statistic when the decision is indeterminate with the attribute data. The average run lengths are calculated to evaluate the performance of the proposed control charts according to the mean shift. The performance of both control charts is compared with each other and with the existing control chart. Simulation study is given to demonstrate the efficiency of the proposed control charts.
Databáze: Directory of Open Access Journals