TY - JOUR ID - 4385 TI - Maximum Multivariate Exponentially Weighted Moving Average and Maximum Multivariate Cumulative Sum Control Charts for Simultaneous Monitoring of Mean and Variability of Multivariate Multiple Linear Regression Profiles JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Ghashghaei, Reza AU - Amiri, Amirhossein AD - Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran Y1 - 2017 PY - 2017 VL - 24 IS - 5 SP - 2605 EP - 2622 KW - Multivariate multiple linear regression profiles KW - simultaneous monitoring KW - Phase II KW - Diagnosis aids DO - 10.24200/sci.2017.4385 N2 - In some application, quality of product or performance of a process described by some functional relationships between some variables known as multivariate linear profile in the literature. In this paper, we propose Max-MEWMA and Max-MCUSUM control charts for simultaneous monitoring of mean vector and covariance matrix in multivariate multiple linear regression profiles in Phase II. The proposed control charts also have ability to diagnose either the location or variation of the process is responsible for out-of-control signal. The performance of the proposed control charts is compared with existing method through Monte-Carlo simulations. Finally, the applicability of the proposed control charts is illustrated using a real case of calibration application in the automotive industry. UR - https://scientiairanica.sharif.edu/article_4385.html L1 - https://scientiairanica.sharif.edu/article_4385_3d3ba7aaaa9e7a9bf438a8f73980bee1.pdf ER -