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International Journal of Engineering، جلد ۲۵، شماره ۲، صفحات ۱۳۱-۱۴۰
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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 |
EFFECT OF LOCATION OF EXPLANATORY VARIABLE ON MONITORING POLYNOMIAL QUALITY PROFILES |
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| چکیده انگلیسی مقاله |
The quality is typically modeled as the univariate or multivariate distribution of quality characteristic/s. In recent applications of statistical process control, quality profiles in which the relationship between a response and explanatory variable/s is captured and monitored are increasingly used to model the quality. Several techniques have been developed to enhance the speed of detecting changes in parameters of polynomial profiles. In this paper, we consider the effect of allocating the explanatory variable X in optimizing the performance of one of well-known methods referred to as EWMA4 method. An optimization model is built and solved using the genetic algorithm to find the optimal location of - values that minimizes the average of the run length distribution (ARL). The effect of location optimization is studied using a simulation study and results are compared with non-optimized strategies in terms of average run length criterion. |
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| کلیدواژه‌های انگلیسی مقاله |
Average run length (ARL), Polynomial profiles, Phase II |
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| نویسندگان مقاله |
Kai Yang |
Industrial and Systems Engineering Department, Wayne State University
Galal Abdella |
Industrial and Systems Engineering, Wayne State University
Adel Alaeddini |
Department of Industrial and Operations Engineerin, University of Michigan
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| نشانی اینترنتی |
http://www.ije.ir/article_71988_10a5883503d6c0e9d310fc9c662f45c8.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2063043.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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