1403/03/27
سید جمال میرکمالی

سید جمال میرکمالی

مرتبه علمی: استادیار
ارکید: https://orcid.org/0000-0001-7513-4423
تحصیلات: دکترای تخصصی
اسکاپوس: 35739053200
دانشکده: دانشکده علوم پایه
نشانی: دانشگاه اراک، گروه ریاضی
تلفن:

مشخصات پژوهش

عنوان
Control charts for attributes with maxima nominated samples
نوع پژوهش
مقاله چاپ‌شده
کلیدواژه‌ها
ARL curve, Attribute control chart, Maxima nomination sampling, p-Chart, np-Chart, Proportion of nonconforming items
سال 1390
مجله Journal of Statistical Planning and Inference
شناسه DOI
پژوهشگران محمد جعفری جوزانی ، سید جمال میرکمالی

چکیده

We develop quality control charts for attributes using the maxima nomination sampling (MNS) method and compare them with the usual control charts based on simple random sampling (SRS) method, using average run length (ARL) performance, the required sample size in detecting quality improvement, and non-existence region for control limits. We study the effect of the sample size, the set size, and nonconformity proportion on the performance of MNS control charts using ARL curve. We show that MNS control chart can be used as a better benchmark for indicating quality improvement or quality deterioration relative to its SRS counterpart. We consider MNS charts from a cost perspective. We also develop MNS attribute control charts using randomized tests. A computer program is designed to determine the optimal control limits for an MNS p-chart such that, assuming known parameter values, the absolute deviation between the ARL and a specific nominal value is minimized. We provide good approximations for the optimal MNS control limits using regression analysis. Theoretical results are augmented with numerical evaluations. These show that MNS based control charts can yield substantial improvement over the usual control charts based on SRS.