Development of a Quality Control Chart for Phase II Product Net weight monitoring in a Manufacturing Enterprise

Abstract

In order to meet regulatory requirements, reduce rework and scrapping of completed goods, and maintain competitiveness in the current global and competitive economy, manufacturers need to come up with a way to monitor important aspects of manufactured goods in real time and make sure they remain within predetermined control limits. Therefore, in light of regulatory regulations regarding the net content of packaged goods, the goal of this study is to create quality control charts that are appropriate for deployment in phase II product net weight monitoring and subject to only common causes of fluctuation. The Minitab 2021 statistical software package was
used for data analysis. The X-bar-S chart was used to investigate process stability and variability. Also, probability
plots, process capability analysis, and the summary report obtained from the dataset, as well as the β-risk and the Average Run Length (ARL), were useful tools guiding the effective deployment of the X-bar chart for phase II product net weight monitoring. The probability of detecting a shift in the mean of the manufacturing process was found to be 95% with an ARL of one, which informs us that the process mean must be monitored batch by batch to ensure the mean remains within the desired control limits to ensure the product net weight conforms to regulatory standards.