Quality Assurance and Quality Control in a Bottle Manufacturing Company Using Statistical Quality Control

Main Article Content

William E. Odinikuku

Abstract


The present paper aimed to investigate the analysis of quality losses in the manufacturing process of 50 cl R/Spirit bottles using Statistical Quality Control method. The analysis covered the factors that affect the quality of the glass bottles and how the production process can be optimized to minimize defects. The data obtained from our investigation hub for 13 days was successfully analyzed using quality control charts and Taguchi quality loss function. The Taguchi quality loss function was successfully employed to calculate quality loss. The loss incurred due to defects was N25, 636.84. Results obtained from  chart and chart showed that the manufacturing process was out of control as some points fell outside the control limits. The possible causes of variations were identified and eliminated. This led to a reduction in the number of defective bottles produced per batch of production. The common causes of defects and deviations from target values were due to imperfection in the production process, traceable to the operators, machine and inappropriate proportion of raw materials.


 



Keywords:
Statistical quality control, control charts, X ̅ chart, R chart, P chart, Taguchi Quality Loss Function (TQLF)

Article Details

How to Cite
E. Odinikuku, W. (2018). Quality Assurance and Quality Control in a Bottle Manufacturing Company Using Statistical Quality Control. Journal of Materials Science Research and Reviews, 1(2), 1-8. Retrieved from http://journaljmsrr.com/index.php/JMSRR/article/view/13140
Section
Original Research Article