Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The increasing demands for product quality and production efficiency in the plastics industry necessitate the use of structured quality management tools. This study aims to identify critical defects in the production of water bottles using the Pareto-Lorenz analysis and Failure Mode and Effect Analysis (FMEA). The research was conducted in a company specializing in bottle manufacturing, where production incon sistencies were analyzed based on quality control reports. The Pareto-Lorenz method revealed that the majority of defects were attributed to issues related to material injection and assembly oversight. The FMEA analysis prioritized defects based on their severity, occurrence proba bility, and detection difficulty, assigning Risk Priority Numbers (RPN) to facilitate targeted corrective actions. Implemented solutions, such as enhanced quality control procedures and systematic employee training, resulted in a significant reduction in defect occurrence and improved production efficiency. The study confirms that combining FMEA and Pareto-Lorenz analysis is an effective approach for optimizing quality management in industrial settings, offering practical insights for manufacturers seeking to enhance product reliability and competitiveness.
Czasopismo
Rocznik
Tom
Strony
148--152
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
- Student of the Czestochowa University of Technology, 69 Dabrowskiego street, 42-201 Czestochowa, Polandy
autor
- Czestochowa University of Technology, 69 Dabrowskiego street, 42-201 Czestochowa, Polandy
Bibliografia
- 1. Alruqi, M., Baumers, M., Branson, D. T., Farndon, R., 2021. A structured approach for synchronising the applications of failure mode and effects analysis. Management Systems in Production Engineering, 29(3), 165 177. DOI: 10.2478/mspe-2021-0021
- 2. Juhászová, D., 2013. Failure analysis in development & manufacture for cus tomer. Quality Innovation 10.12776/qip.v17i2.203
- 3. Knop, K., 2022a. Solving critical quality problems by detecting and elimi nating their root causes – case-study from the automotive industry. Ter otechnology XII. DOI: 10.21741/9781644902059-27
- 4. Knop, K., 2022b. The use of quality tools to reduce surface defects of painted steel structures. Manufacturing Technology, 21(6), 805-817. DOI: 10.21062/mft.2021.088
- 5. Li, X., Wang, Z., Xiong, Y., Liu, H., 2019. A novel failure mode and effect analysis approach integrating probabilistic linguistic term sets and fuzzy petri nets. IEEE Access, 7, 54918-54928. DOI: 10.1109/ac cess.2019.2913112
- 6. Nguyễn, T. L., Shu, M., Hsu, B., 2016. Extended fmea for sustainable man ufacturing: an empirical study in the non-woven fabrics industry. Sustainability, 8(9), 939. DOI: 10.3390/su8090939
- 7. Pascu, C. I., Paraschiv, D., Didu, A., 2020. Research about using the failure mode and effects analysis method for improving the quality process per formance. IOP Conference Series: Materials Science and Engineering, 898(1), 012037. DOI: 10.1088/1757-899x/898/1/012037
- 8. Pascu, C., Malciu, R., Dumitru, I., 2023. Perspective chapter: defining and applying the fmea process method in the field of industrial engineering. In Failure Analysis - Structural Health Monitoring of Structure and In frastructure Components. DOI: 10.5772/intechopen.107401
- 9. Vinodh, S. and Santhosh, D., 2012. Application of fmea to an automotive leaf spring manufacturing organization. The TQM Journal, 24(3), 260 274. DOI: 10.1108/17542731211226772
- 10. Ulewicz, R., 2014. Practical Application of Quality Tools in the Cast Iron Foundry, Manufacturing Technology 2014, 14(1), 104-111. DOI: 10.21062/ujep/x.2014/a/1213-2489/MT/14/1/104
- 11. Wolniak, R., 2019. Problems of use of FMEA method in industrial enter prise. Production Engineering Archives, 23 12-17. DOI: 10.30657/pea.2019.23.02
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a2f505bc-fa31-4d9b-bcdc-0f6161106a8f
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