Developing an Approach for Monitoring Simple Linear Profiles Parameters in Short Run Processes in Phase ΙΙ
Volume 10, Issue 1, Spring 2020, Pages 16-33
https://doi.org/10.48313/jqem.2020.115119
Seyed Babak Khalili Deilami, Amirhossein Amiri, Peyman Khosravi
Abstract Nowadays due to diversity of customer demand and short time for product evolution cycle in market, manufacturing strategy is tended to short run processes characterized by high diversity and low volume. Hence, statistical process control for such processes because of inspection restrictions in a short period is a special and significant practice. In such circumstances, control charts in Phase I cannot be performed and also correct estimations are not available for appraising process parameters. Therefore, it is essential to design new control charts and to utilize them instead of traditional control charts for monitoring such processes. On the other hand, sometimes quality characteristics are described by a relationship between a response variable and one or more explanatory variables, referred to as profile in the literature. In this paper for monitoring quality characteristics delineated by simple linear profiles in short run processes, three control charts are designed to monitor profile parameters (intercept, slope and standard deviation).These control charts have a capability to update the parameter estimations along with new observations and concurrent checks of the out-of-control conditions. The Performance of the proposed method has been compared with competitor control chart by using simulation studies and average run length criterion. The results show that proposed method in some parameters has better performance compared to the competitor control chart in detecting moderate and large shifts.