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International Journal of Engineering، جلد ۲۷، شماره ۱۰، صفحات ۱۵۹۱-۱۶۰۰
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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 |
Multi-objective Economic-statistical Design of Cumulative Count of Conforming Control Chart |
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| چکیده انگلیسی مقاله |
Cumulative Count of Conforming (CCC) charts are utilized for monitoring the quality characteristics in high-quality processes. Executive cost of control charts is a motivation for researchers to design them with the lowest cost. Usually in most researches, only one objective named cost function is minimized subject to statistical constraints, which is not effective method for economic-statistical design of control charts. In this paper, a multi-objective model for the economic-statistical design of the CCC control chart is developed. Then, multi-objective evolutionary algorithm (NSGA-II) for obtaining the Pareto optimal solution of the model is proposed. A numerical example is applied to illustrate the effectiveness of the proposed model. This model leads to lower cost and smaller probability of Type I and Type II errors, compared with economic model. In addition, a sensitivity analysis is done to investigate the effect of input parameters on the best solutions of the proposed model. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
Anahita Sherbaf Moghaddam |
Industrial Engineering, Shahed University
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| نشانی اینترنتی |
http://www.ije.ir/article_72399_5914c2391226ab958dd32d0fd2788f71.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062642.pdf |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
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