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International Journal of Industrial Engineering and Productional Research-، جلد ۳۳، شماره ۱، صفحات ۱-۱۸
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Phase I Monitoring of Multivariate Ordinal based Processes: The MR and LRT Approaches (A real case study in drug dissolution process) |
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| چکیده انگلیسی مقاله |
In some statistical processes monitoring (SPM) applications, relationship between two or more ordinal factors is shown by an ordinal contingency table (OCT) and it is described by the ordinal Log-linear model (OLLM). Newton-Raphson algorithm methods have also been used to estimate the parameters of the log-linear model. In this paper, the OLLM based processes is monitored using MR and likelihood ratio test (LRT) approaches in Phase I. Some simulation studies are applied to performance evaluation of the proposed approaches in terms of probability of signal under step shifts, drifts and the presence of outliers. Results show that, by imposing the small and moderate shifts in the ordinal log-linear model parameters, the MR statistic has better performance than LRT. In addition, a real case study in dissolution testing in pharmaceutical industry is employed to show the application of the proposed control charts in Phase I. |
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| کلیدواژه‌های انگلیسی مقاله |
Ordinal log-linear model,Likelihood ratio test,Statistical process monitoring,Drug dissolution,Phase I. |
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| نویسندگان مقاله |
| Ahmad Hakimi
Department of Industrial Engineering, Faculty of Engineering, University of Kurdistan
| Hiwa Farughi
Department of Industrial Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran
| Amirhossein Amiri
Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
| Jamal Arkat
Department of Industrial Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran
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| نشانی اینترنتی |
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-609-4&slc_lang=en&sid=1 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
Statistical Process Control Statistical Process Control or Quality Control |
| نوع مقاله منتشر شده |
پژوهشی |
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