Determining the Sample Size for Estimation of the CCC-R Control Chart Parameters Based on Estimation Costs
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 30، شماره: 2
سال انتشار: 1395
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 353
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شناسه ملی سند علمی:
JR_IJE-30-2_012
تاریخ نمایه سازی: 6 شهریور 1396
چکیده مقاله:
In today s highly competitive industrial environment due to fast technology development, quality practitioners will have to detect out-of-control situations and take actions whenever is necessary as soon as possible. Accordingly, new statistical procedures have been enhanced incessantly both to handle high yield processes along with looking for methods of minimizing all quality cost. CCC-r (Cumulative Count Conforming-rarely) chart, the extended method of CCC charts, is commonly applied when nonconforming items are rarely observed. Since the values of the parameters used for the design of the charts control parameters are usually unknown in practice, the practitioners need to estimate them by using an in-control retrospective sample. It has been shown that parameter estimation affects the control charts properties severely. This study develops a model based on estimation costs and Average Number of Inspected Items for CCC-r chart when nonconforming fraction is unknown. The unknown parameters estimated based on different values of sample sizes and sensitivity analysis was performed
کلیدواژه ها:
Statistical Process Control ، High Yield Process ، Cumulative Count Conforming-rarely Control Charts ، Parameter Estimation ، Average Number Inspected ، Estimation Costs
نویسندگان
m.s fallahnezhad
Department of Industrial Engineering, Yazd University, Yazd, Iran
v golbafian
Department of Industrial Engineering, Yazd University, Yazd, Iran