Monitoring multivariate profile data in plastic parts manufacturing industries: An intelligently data processing

Extrusion is a process that is extensively used in different plastic parts manufacturing industries. Technical analysis and our statistical analysis (in this research) indicate that there are correlations between controllable technical variables of an extrusion process. In this study, two important correlated response variables, namely, flow rate per unit length and mass per unit area characteristics are considered. Monitoring jointly these two important quality factors with multivariate profile supports integration purposes of industrial information effectively. In this paper Wilks' lambda statistic, is used for analysis of the performance of the proposed multivariate profile model in phase-I of statistical control. The performance of the proposed multivariate profile model is investigated using test power term through several different numerical cases. The proposed approach is capable of facilitating information technology (IT) activities of the studied manufacturing industry.