Continuous Manufacturing Variability Study

Abstract

Continuous manufacturing variability is measured with the help of analysis of variance methodologies and statistical process control (SPC) tools such as control charts. The objective of this project was to assess variability within and between lots for two data sets with three process quality attributes: Assay, Content Uniformity and Tablet Weight. One data set included rejected quarantine hoppers (QH) and the other data set eliminated the rejected QH for the three lots This research could study variability with the usage of analysis of variance such as ANOVA, MANOVA, Post Hoc comparison test with Bonferroni correction among SPC control charts to illustrate mean and standard deviation variability. The analysis of variance concluded significant mean variability in the two data sets for Assay, CU and Tablet Weight in the three lots. Control charts supplemented the analysis of variance testing and provided an overview of process capability and mean variation for the chosen parameters. Key Terms  Analysis of Variance, Continuous Manufacturing, Statistical Process Control, Variability.