Design of a Sampling Plan to Monitor the Net Weight Packaging of Semolina in a Production Plant

Abstract

Given the global regulations on the net content of packaged goods, manufacturers need to make sure that the items they provide to consumers adhere to international norms and standards in order to be competitive in the modern global market. The purpose of this research is to design a variable sampling procedure for the release of packaged semolina flour into the market in fulfilment of regulatory standards in the interest of consumers. Using the Minitab 2021 statistical software, the process capability chart, operational characteristic curves, average outgoing quality (AOQ), and average total inspection (ATI) were generated and helpful in assessing the suitability of the sampling plan for lot-by-lot inspection. The packing process was found to be normally distributed with a p-value of 0.525 and an observed standard deviation of 2.030. the AOQ, and ATI in line with best practice suggests a sample size of 24 packs per lot for lot sentencing. The applicability of the plan was also demonstrated. Considering international regulatory requirements, this sampling plan enhances and improves the net content of the packaged products released into the market.