نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشگاه علامه طباطبایی
2 عضو هیئت علمی گروه ریاضی دانشگاه علامه طباطبایی
3 دانشگاه علامه طباطبائیDepartment of Statistics, Allameh Tabataba'i University Teharan, Iran.
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Control charts are one of the most effective tools used in quality control to monitor various quality characteristics in a process with the aim to improve quality of the product. Usually, in Shewhart control charts, the normality assumption met for the data, but sometimes there is lack of information regarding the statistical distribution of the observations. For this reason, non-parametric control charts are used in this situation. In this research, non-parametric sign charts are introduced to deal with the lack of information regarding observations’ statistical distribution. Nonparametric Generalized Weighted Moving Average Sign Control Chart (NS GWMA) designed using statistical design and average run length (ARL) and its statistical performance was studied. But statistical design is not enough to ensure the performance of a control chart, so in the next steps, economic design (ED) and economic-statistical design (ESD) were applied using cost model of Lorenzen and Vance, in order to optimize both statistical and economical characteristics of the control chart.
کلیدواژهها [English]
)