نوع مقاله : مقاله پژوهشی- فارسی
نویسندگان
1 دانشآموخته دکتری، دانشکده مهندسی صنایع و سیستمها، دانشگاه صنعتی اصفهان، اصفهان، ایران
2 استادیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه یزد، یزد، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In many advanced industrial processes, quality can be effectively characterized using multivariate simple linear profile models, which describe regression relationships between multivariate correlated response variables and a single explanatory variable. In this study, three new control schemes based on the MHWMA control chart are proposed for Phase II monitoring of multivariate simple linear profiles. Based on a multivariate homogeneously weighted moving average control chart, the proposed schemes show enhanced sensitivity to step changes in profile model parameters. The three proposed schemes, referred to as MHWMA, MHWMA/χ², and MHWMA-2/MMECD, are designed to monitor changes in regression coefficients and the dispersion structure of the profiles through different modeling strategies. To evaluate the performance of the proposed methods, a simulation study based on the CVRL performance measure is conducted. The results indicate that the MHWMA/χ² monitoring scheme outperforms the competing methods in most scenarios in terms of change detection efficiency. The study also includes a sensitivity analysis to investigate the effects of the design parameters. Finally, to assess the practical applicability of the proposed approaches, two real-world case studies are analyzed, confirming the effectiveness of the proposed control charts under operational conditions.
کلیدواژهها [English]
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