The activities of the production and process industries are very laborious. For a variety of reasons, manufacturing processes frequently result in operational waste, which can be minimized by determining and removing the underlying causes. Vigilance during the production process is necessary to achieve consumer expectations and comply with business world regulations. A multitude of factors influence the quality of packaging films made using intricate techniques. Due to the possibility of confusing the effects of one variable with those of other associated variables, traditional Statistical Process Control (SPC) approaches are not the best means of monitoring and controlling these many variables. Furthermore, because each process variable has a huge number of control charts, Univariate control charts are challenging to evaluate and interpret. An alternative approach is to construct a single multivariate T2 control chart that minimizes the occurrence of false process alarms. This study examines how the printing and packaging industries use Multivariate Statistical Process Control (MSPC) charts to track the production of packaging films. Principal Component Analysis (PCA) is used in T2 diagnostics to examine the important process variables. To find the crucial process variables for reducing the rejections, Pareto analysis is used. It has been determined that the two most important factors in the packaging film production process are rewinder tension and line tension.