Investigation of the quality of PET bottle-blowing and bottled water production process using Pareto diagram, control chart, and Power BI
This research project investigates the quality of PET bottle-blowing and bottled water production processes.This study discusses using the Pareto-Lorenz diagram, control chart, and Power BI tool to identify and reduce product defects in the PET bottle production line and bottled water production process at Fabsi Water Production Company.The data from January 2023 to June 2023 for the blowing section and bottled water production process.Based on the analysis, Defective Preform, Thickness Variation Defect, Wrinkled Preform, and IncompleteBlowing/Overblowing collectively account for over 80% of the reported defects.Precisely, these defects correspond to 2,913 units, 1,726 units, 1,449 units, and 1,171 units, respectively for the blowing section in contrast for bottled water production, 60% of the documented defects are associated with Damaged Cap and Leakage.Specifically, these defects total 1,195 units and 747 units, respectively.To improve PET bottle-blowing quality and reduce non-conformities in the production of bottled water, corrective actions were proposed and put into practice.The conclusions of this research have substantial ramifications for both academia and industry.Organizations may put focused quality control plans into place by having a thorough grasp of the variables impacting faults in the manufacture of PET bottles and bottled water.When properly implemented, these tactics can improve the quality of the final product, cut down on waste, and eventually maximize organizational performance.Additionally, this study contributes valuable insights to the existing body of knowledge on quality control practices in the context of the food and beverage industry.
Authors
- Ibrahim Dauda Muhammad (ORCID: https://orcid.org/0000-0001-7089-4458)
- Ishaya Musa Dagwa (ORCID: https://orcid.org/0000-0003-0413-2572)
- Aderinkola Abdulazeez
Institutions
- University of Abuja (NG)
Publication Details
- Journal
- Discovery
- Published
- 2025-04-29
- DOI
- https://doi.org/10.54905/disssi.v61i337.e15d3107
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00