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The application of selected quality tools in analysing the reasons for discrepancies in wet refractory mortar manufacture

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The basic objective of this paper is to present the possibilities of applying selected quality tools in analysing the reasons for discrepancies as exemplified by the process of manufacturing wet refractory mortars. Using various methods and tools, the authors looked for the root causes of a quality rejects occurrence. The following selected methods and tools were used: analysis of variance – ANOVA, the individual moving range (I-MR) chart, SIPOC process mapping, analysis of regression, identification of potential root causes of a problem – 7M, Gauge Repeatability and Reproducibility (GRR). The paper shows how it is possible to search for the causes of quality rejects by means of deliberately selected tools and methods and to successfully decrease the number of discrepancies after introduction of the appropriate corrective actions. The authors indicate how it is possible to analyse the processes of manufacturing wet refractory mortars and what can be done in the situation when a faulty measuring system (returning seriously erroneous results) is the reason for a lack of or lower detectability of wet mortar flaws as it has affected the accuracy of feeding of all components of the recipe, as well as the consistency, moisture content, and hardness/softness of mortar. The collected analysis results allowed the authors to conclude that there were seven probable root causes influencing the hardening of mortar and the loss of its primary functions. This paper could be useful for those wet refractory mortars manufacturers who find it difficult to build their knowledge about product properties based on available publications sources.
Rocznik
Tom
Strony
221--241
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
  • Jagiellonian University, seminar student at the Department of Quality Management. Quality Manager at Vesuvius
autor
  • Jagiellonian University, Department of Quality Management
Bibliografia
  • 1. Andreev, K., Sinnema, S., Stel, J.v.d., Allaoui, S., Blond, E., and Gasser, A. (2014). Effect of binding system on the compressive behaviour of refractory mortars. Journal of the European Ceramic Society, 34, 13, 3217-3227.
  • 2. Andreev, K., Verstrynge, E., and Wevers, M. (2017). Compaction and shear failure of refractory mortars – effects of porosity and binder hardening. Journal of the European Ceramic Society, 37, 2, 841-848.
  • 3. Bolar, G., Das, A., and Joshi, S.N. (2018). Measurement and analysis of cutting force and product surface quality during end-milling of thin-wall components. Measurement (02632241), 121, 190-204.
  • 4. Cao, Y., Zhao, K., Yang, J., and Xiong, W. (2015). Constructing the integrated strategic performance indicator system for manufacturing companies. International Journal of Production Research, 53, 13, 4102-4116.
  • 5. Ćwiklicki, M., and Obora, H. (2009). Metody TQM w zarządzaniu firma. Praktyczne przykłady zastosowań. Warszawa: Poltex.
  • 6. Del Re, F., Contaldi, V., Astarita, A., Palumbo, B., Squillace, A., Corrado, P., and Di Petta, P. (2018). International Journal of Advanced Manufacturing Technology, 97, 5-8, 2231-2240.
  • 7. Giloni, A., Seshadri, S., and Simonoff, J.S. (2005). Robust analysis of variance: process design and quality improvement. International Journal of Productivity and Quality Management, 1, 3, 306-319.
  • 8. Guler, M.O., and Artir, R. (2007). Modular neural network modelling of compressive strength of high-alumina bricks by using tangent function. Materials & Design, 28, 1, 112-118.
  • 9. Hamrol, A. (2007). Zarządzanie jakością z przykładami. Warszawa: PWN.
  • 10. Harizam, M.Z., Tamrin, K.F., Nukman, Y., Yusof, F., and Sheikh, N.A. (2018). Effect of Process Parameters on the Laser Joining of Stainless Steel with Three-dimensional (3-D) Printed Polymer Sheet. Lasers in Engineering (Old City Publishing), 41, 4-6, 393-408.
  • 11. Jay, A. (2017). Gage R&R: Repeatability and Reproducibility. Quality, 56, 13, 20-21.
  • 12. Kieć, M. (2018). Diagnostyka efektywności systemów pomiarowych, w przykładach metod badania wykorzystywanych w kontroli jakości materiałów ogniotrwałych. In E. Skrzypek (ed), Zarządzanie organizacją w warunkach różnorodności (pp. 111-123). Lublin: UMCS.
  • 13. Lee, M.C., and Chang, T. (2012). Combination of theory of constraints, root cause analysis and Six Sigma for quality improvement framework. International Journal of Productivity and Quality Management, 10, 4, 447-463.
  • 14. Moraditadi, A., and Avakhdarestani, S. (2016). Development of fuzzy individual x and moving range control chart International. Journal of Productivity and Quality Management, 17, 1, 82-103.
  • 15. Mullick, S., Shrawgi, S., Kangale, A., Agrawal, A., and Nath, A.K. (2017). Effects of Fibre Laser Beam Focal Point Location and Incidence Angle on the Cut Quality of Stainless Steel Sheet. Lasers in Engineering (Old City Publishing), 36, 1-3, 3-30.
  • 16. Routschka, G. (Ed.). (2004). Pocket manual refractory materials: Basics, structures, properties. Vulkan-Verlag.
  • 17. Saidi, M., and Safi, B. (2014). Influence of waste refractory brick on the thermal and mechanical behaviour of mortars. Proceedings of the International Multidisciplinary Scientific GeoConference SGEM, 2, 119-124.
  • 18. Waseem, A., Zulqarnain, A., Khalid, R., and Saleem, S. (2015). Gage repeatability and reproducibility: an assessment of method and medium for a laboratory. International Journal of Six Sigma and Competitive Advantage, 9, 2-4, 126-149.
  • 19. Wilson, P.F., Dell, L.D., and Anderson, G.F. (1993). Root Cause Analysis: A Tool for Total Quality Management. Milwaukee, Wisconsin: ASQ Quality Press, 8-17.
  • 20. Yeung, S.M.C. (2009). Using Six Sigma – SIPOC for customer satisfaction. International Journal of Six Sigma and Competitive Advantage, 5, 4, 312-324.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-10cc24c2-3dab-4539-b02d-5fd402e9e4ea
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