نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه شاهد، تهران، ایران.
کلیدواژهها
عنوان مقاله English
نویسندگان English
Nowadays, most manufactured products are produced through multiple interdependent process stages. Due to the cascading nature of many such processes, monitoring them using conventional control charts often leads to unavoidable errors and incorrect decisions. One of the useful charts for monitoring multistage processes is the deviation-based control chart. These types of charts have mostly been applied to normally distributed quality characteristics.
In this paper, a two-stage process is examined in which the quality characteristic in the second stage follows a gamma distribution, and the deviation-based control chart is employed for monitoring this process. The test statistic of the deviation-based control chart is derived from combining the inverse NORTA method with a generalized linear model.
To evaluate the performance of the proposed method, the Average Run Length (ARL) index is used, and the results are compared with the best existing method in the literature. The findings indicate that the proposed approach performs better in detecting both upward and downward shifts.
کلیدواژهها English
