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Use of Quality Management Instruments in the Window Production Process

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents the results of research analyzing the level of use of quality assurance instruments. The use of quality management instruments refers to the production of windows based on PVC profiles. Based on the results of surveys, which were additionally verified by an extended expert interview, an analysis was made of the level of use of quality assurance instruments at individual stages of the technological process. The main conclusion of the analyzes is that the most commonly used quality instruments are Pareto-Lorenz analysis, Ishikawa diagram, control cards and the FMEA method.
Słowa kluczowe
Rocznik
Strony
384--393
Opis fizyczny
Bibliogr. 16 poz., fig., tab.
Twórcy
  • Czestochowa University of Technology, Poland
Bibliografia
  • 1. Barosz P., Dudek-Burlikowska M., Roszak M. (2018) The application of the FMEA method in the selected production process of a company, Production Engineering Archives 18, pp. 35-41.
  • 2. Czerwińska, K., Pacana A., (2019) Analysis of the implementation of the identification system for directly marked parts – datamatrix code. Production Engineering Archives 23, pp. 22-26.
  • 3. Dziuba, Sz., Ingaldi, M., Kadłubek, M. (2016) Use of Quality Management Tools for Evaluation of the Products’ Quality in Global Economy. Globalization and Its Socio-Economic Consequences, 16th International Scientific Conference Proceedings, PTS I-V, 2016, pp. 425-432.
  • 4. Knop, K. (2019) Elimination of constraints in the production process of power equipment components and the analysis of the resulting benefits. Production Engineering Archives 24, pp. 37-42.
  • 5. Kuchariková, L., Tillová, E., Závodská, D. (2016) The assessment of castings quality using selected quantitative methods. Production Engineering Archives, vol. 13, pp. 7-10.
  • 6. Nowacki, R., Szopiński, T.S., Bachnik, K. (2017) Determinants of assessing the quality of advertising services. The perspective of enterprises active and inactive in advertising. Journal of Business Research 88, pp. 474-480.
  • 7. Rosak-Szyrocka, J., Knop, K. (2018) Quality improvement in the production company. MAPE 2018, vol. 1, issue 1, pp. 521-527.
  • 8. Sałek R., Klimecka-Tatar D. (2016) Management and controlling of stocks in the supply chain of metallurgical industry. METAL 2016: 25th International Conference on Metallurgy and Materials. Brno, pp. 1993-2000.
  • 9. Siwiec D., Pacana, A. (2019) The use of quality management techniques to analyse the cluster of porosities on the turbine outlet nozzle. Production Engineering Archives 24, pp. 33-36.
  • 10. Stamatis, D.H. (2003) Failure mode and effects analysis: FMEA from theory to execution. American Society for Quality (ASQ).
  • 11. Stasiak-Betlejewska, R., Czajkowska, A. (2016) Quantification of the Quality Problems in the Construction Machinery Production. 9th International Conference on Computing and Solutions in Manufacturing Engineering. Brasov, Romania: CoSME’16, 3-4 November 2016.
  • 12. Ulewicz, R. (2013) Quality control system in production of the castings from spheroid cast iron”, Metalurgija, 42, pp. 61-63.
  • 13. Ulewicz, R. (2018) Outsourcing quality control in the automotive industry. MATEC Web Conf., 183, 12th International Conference Quality Production Improvement – QPI 2018, MATEC Web of Conferences [on-line:] https://www.researchgate.net/publication/326712268_Outsorcing_quality_control_in_the_automotive_industry.
  • 14. Ulewicz R., Novy F., (2019) Quality management systems in special processes. Transportation Research Procedia Vol. 40, pp. 113-118.
  • 15. Wolniak, R. (2019) Problems of use of FMEA method in industrial enterprise”, Production Engineering Archives 23, pp. 12-17.
  • 16. Zasadzień, M. (2016) Optimization of the soldering process by the DMAIC methodology. Production Engineering Archives vol. 11, pp. 6-10.
Uwagi
EN
Research and publication financed from statutory research of the Czestochowa University of Technology BS/PB-6000/3010/2020.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4a9c5d3e-5763-4951-b089-bcf7214fd665
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