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Multivariate Nonconformity Analysis for Paving Stone Manufacturing Process Improvement

   | Oct 29, 2022

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[1] ISO 9001:2015. Quality management systems. Fundamentals and vocabulary. Search in Google Scholar

[2] A. Mitra. Fundamentals of quality control and improvement. 4th Edition. Hoboken (NJ): John Wiley & Sons, 2016. ISBN 978-1118705148 Search in Google Scholar

[3] Ch. A. Cianfrani, J. E. West. ISO 9001:2015 Explained. Fourth Edition. Milwaukee (WI): ASQ Quality Press, 2015. ISBN 978-0873899017 Search in Google Scholar

[4] K. Knop. Analysis and Quality Improvement of the UV Printing Process on Glass Packagings. In: Ulewicz R., Hadzima (Eds.), Quality Production Improvement - QPI 2021, B., Warsaw: De Gruyter, 2021, pp. 314-325. doi: 10.2478/cqpi-2021-0031 Open DOISearch in Google Scholar

[5] K. Teplická, D. Hrehová, M. Ševela. “Improvement the processes in order production in construction industry with the orientation on processes performance”. Polish Journal of Management Studies, Vol. 24, No. 1, 2021, pp. 407-427. doi: 10.17512/pjms.2021.24.1.24 Open DOISearch in Google Scholar

[6] E. Nedeliaková, M. P. Hranický, M. Valla. “Risk identification methodology regarding the safety and quality of railway services”. Production Engineering Archives, Vol. 28, No. 1, 2022, pp. 21-29. doi: 10.30657/pea.2022.28.03 Open DOISearch in Google Scholar

[7] A. Hamrol. Quality management with examples. Warsaw: PWN, 2005. ISBN: 978-83-011-7466-8 Search in Google Scholar

[8] D. Siwiec, A. Pacana. “Method of improve the level of product quality”. Production Engineering Archives, Vol. 27, No. 1, 2021, pp. 1-7. doi: 10.30657/pea.2021.27.1 Open DOISearch in Google Scholar

[9] K. Knop. “Analysis of Risk of Nonconformities and Applied Quality Inspection Methods in the Process of Aluminium Profiles Coating Based on FMEA Results”. Production Engineering Archives, Vol. 16, 2017, pp. 16-21. doi: 10.30657/pea.2017.16.04 Open DOISearch in Google Scholar

[10] W. Biały. “Application of quality management tools for evaluating the failure frequency of cutter-loader and plough mining systems”. Archives of Minning Sciences, Vol. 62, Iss. 2, 2017, pp. 243-252. ISSN 0860-7001. doi: 10.1515/amsc-2017-0018 Open DOISearch in Google Scholar

[11] S. Sousa, N. Rodrigues, E. Nunes. “Application of SPC and Quality Tools for Process Improvement”. Procedia Manufacturing, Vol. 11, 2017, pp. 1215-1222. doi: 10.1016/j.promfg.2017.07.247 Open DOISearch in Google Scholar

[12] D. Pavletic, M. Sokovic, G. Paliska. “Practical Application of Quality Tools”. International Journal for Quality Research, Vol. 2, 2008. Search in Google Scholar

[13] D. C. Montgomery. Statistical Quality Control. 7th Edition. Hoboken (NJ): Wiley, 2012. ISBN 978-1118146811 Search in Google Scholar

[14] D. Spiegelhalter. The Art of Statistics: How to Learn from Data. New York: Basic Books, 2021. ISBN 978-1541675704 Search in Google Scholar

[15] Z. Holcomb. Fundamentals of Descriptive Statistics. 1st Edition. New York: Routledge, 1997. ISBN 9781884585050 Search in Google Scholar

[16] E. Kozień. “Quality Improvement in Production Process”. Conference Quality Production Improvement – CQPI, vol. 1, no. 1, 2019, pp. 596-601. doi: 10.2478/cqpi-2019-008 Open DOISearch in Google Scholar

[17] S. Grabowska. “Improvement of the Production Process in the Industry 4.0 Context”. Multidisciplinary Aspects of Production Engineering, Vol. 1, 2018, pp. 55-62. doi: 10.2478/mape-2018-0008 Open DOISearch in Google Scholar

[18] S. Jevgeni, E. Shevtshenko, R. Zahharov. “Framework for Continuous Improvement of Production Processes and Product Throughput”. Procedia Engineering, Vol. 100, 2015. doi: 10.1016/j.proeng.2015.01.398 Open DOISearch in Google Scholar

[19] P.A. Tavallali, M.R. Feylizadeh, A. Amindoust. “Presenting a mathematical programming model for routing and scheduling of cross-dock and transportation”. Polish Journal of Management Studies, Vol. 22, No. 1, 2020, pp. 545-564. doi: 10.17512/pjms.2020.22.1.35 Open DOISearch in Google Scholar

[20] J. Li, Ch. T. Papadopoulos, L. Zhang. “Continuous improvement in manufacturing and service systems”. International Journal of Production Research, Vol. 54, No. 21, 2016, pp. 6281-6284. doi: 10.1080/00207543.2016.1228235 Open DOISearch in Google Scholar

[21] N. Ivanov. “A Study on Optimization of Nonconformities Management Cost in the Quality Management System (QMS) of Small-sized Enterprise of the Construction Industry”. Procedia Engineering, Vol. 153, 2016, pp. 228-231. doi: 10.1016/j.proeng.2016.08.107 Open DOISearch in Google Scholar

[22] S. Rallabandi, R.G. Satyanarayana, R. Srikanth Reddy Rikkula. “Utility of quality control tools and statistical process control to improve the productivity and quality in an industry”. International Journal of Reviews in Computing, Vol. 5, January, 2011. ISSN 2076-3328 Search in Google Scholar

[23] M. Donauer, P. Peças, A. Azevedo. Nonconformity root causes analysis through a pattern identification approach. In: A. Azevedo (Ed.), Advances in Sustainable and Competitive Manufacturing Systems, Switzerland: Springer International Publishing, 2013, pp. 851-863. doi: 10.1007/978-3-319-00557-7_70 Open DOISearch in Google Scholar

[24] D. Okes, Root Cause Analysis: The Core of Problem Solving and Corrective Action. ASQ Quality Press, 2009. ISBN 978-0873897648 Search in Google Scholar

[25] A. Pacana, K. Czerwińska, “Improving the quality level in the automotive industry”, Production Engineering Archives, Vol. 26, No. 4, 2020, pp. 162-166. doi: 10.30657/pea.2020.26.29 Open DOISearch in Google Scholar

[26] J. Tarí, V. Sabater. “Quality tools and techniques: Are they necessary for quality management?”. International Journal of Production Economics, Vol. 92, No. 3, 2004, pp. 267-280. doi: 10.1016/j.ijpe.2003.10.018 Open DOISearch in Google Scholar

[27] D. Siwiec, A. Pacana. “The use of quality management techniques to analyse the cluster of porosities on the turbine outlet nozzle”. Production Engineering Archives, Vol. 24, 2019, pp. 33-36. doi: 10.30657/pea.2019.24.08 Open DOISearch in Google Scholar

[28] K. Knop. “The Use of Quality Tools to Reduce Surface Defects of Painted Steel Structures”. Manufacturing Technology, Vol. 21, No 6, 2021, pp. 805-817. doi: 10.21062/mft.2021.088 Open DOISearch in Google Scholar

[29] S. Mizuno. Management for Quality Improvement: The 7 New QC Tools. Woodland Hills, CA (USA): Productivity Pr. Inc., 1988. ISBN 9780915299294 Search in Google Scholar

[30] Y. Nayatani, T. Eiga, R. Futami. “The seven QC tools: New tools for a new era”. Envi-ronmental Quality Management, Vol. 4, No. 1, 2006, pp. 101-109. doi: 10.1002/tqem.3310040111 Open DOISearch in Google Scholar

[31] Z. Andrássyová, J. Žarnovský, Š. Álló, J. Hrubec. “Seven New Quality Management Tools”. Advanced Materials Research, Vol. 801, 2013, pp. 25-33.10.4028/www.scientific.net/AMR.801.25 Search in Google Scholar

[32] W. Brylicki. Kostka brukowa z betonu wibroprasowanego. Kraków: Polski Cement Sp. z.o.o., 1998. Search in Google Scholar

[33] G. Łój. Europejskie standardy dla kostki brukowej. Stowarzyszenie Producentów Brukowej Kostki Drogowej, Warszawa: Stowarzyszenie Producentów Cementu 2005. Search in Google Scholar

[34] R. Makarov. “Sheet-Glass Quality Improvement Based on Statistical Analysis of Glass-Production Monitoring”. Glass and Ceramics, Vol. 71, Iss. 9-10, 2015, pp. 350-352.10.1007/s10717-015-9685-7 Search in Google Scholar

[35] F. Marmolejo-Ramos, T. Tian. “The shifting boxplot. A box-plot based on essential summary statistics around the mean”. International Journal of Psychological Research, Vol. 3, No. 1, 2010. doi: 10.21500/20112084.823 Open DOISearch in Google Scholar

[36] H. Chernoff. “The Use of Faces to Represent Points in K-Dimensional Space Graphically”. Journal of the American Statistical Association, Vol. 68, No. 342, 1973, pp. 361-368.10.1080/01621459.1973.10482434 Search in Google Scholar

[37] A. Boldizsar. “Statistical analysis of road freight transport in Catalonia”. Production Engineering Archives, vol. 28, no. 1, 2022, pp. 40-49. doi: 10.30657/pea.2022.28.05 Open DOISearch in Google Scholar

[38] P. Lillrank, J. Kujala. “Managing common and specific causes of quality problems in project-based organisations”. International Journal of Productivity and Quality Management, Vol. 1, No. 1-2, 2005, pp. 56-68. doi: 10.1504/IJPQM.2006.008373 Open DOISearch in Google Scholar

[39] D.R. Bamford, R.W. Greatbanks. “The use of quality management tools and techniques: a study of application in everyday situations”. International Journal of Quality & Reliability Management, Vol. 22, No. 4, 2005, pp. 376-392. doi: 10.1108/02656710510591219 Open DOISearch in Google Scholar

[40] R. Ulewicz, D. Kleszcz, M. Ulewicz. “Implementation of Lean Instruments in Ceramics Industries”. Management Systems in Production Engineering, Vol. 29, No. 3, 2021, pp. 203-207. doi: 10.2478/mspe-2021-0025 Open DOISearch in Google Scholar

[41] M. Krynke, T. N. Ivanova, N. F. Revenko. “Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises”. Management Systems in Production Engineering, Vol. 30, No. 1, 2022, pp. 91-97. doi: 10.2478/mspe-2022-0012 Open DOISearch in Google Scholar

[42] S.T. Dziuba, M. Ingaldi, M. Kadlubek. Use of quality management tools for evaluation of the products quality in global economy. Globalization and its socio-economic consequences, Žilina: Žilinská univerzita, 2016, pp. 425-432. Search in Google Scholar

[43] M. Potkany, J. Zavadsky, R. Hlawiczka, P. Gejdos, J. Schmidtova. “Quality Management Practices in Manufacturing Enterprises in the Context of Their Performance”. Journal of Competitiveness, Vol. 14, No. 2, 2022, pp. 97-115. doi: 10.7441/joc.2022.02.06 Open DOISearch in Google Scholar

[44] M. Potkany, P. Gejdos, P. Lesnikova, J. Schmidtova. “Influence of Quality Management Practices on the Business Performance of Slovak Manufacturing Enterprises”. Acta Polytechnica Hungarica, Vol. 17, No. 9, 2022, pp. 161-180. doi: 10.12700/APH.17.9.2020.9.9 Open DOISearch in Google Scholar

[45] M. Ingaldi, S.T. Dziuba. Supervisor’s Assessment as an Element Effecting Technological Process in Chosen Metallurgical Company. 25th Anniversary International Conference on Metallurgy and Materials, Ostrava, Tanger, 2016, pp. 1822-828. Search in Google Scholar

[46] G. Tóth. “The replacement of the Neumann trend test and the Durbin Watson test on residuals by one-way ANOVA with resampling and an extension of the tests to different time lags”. Journal of Chemometrics, Vol. 24, 2010, pp. 140-148. doi: 10.1002/cem.1293 Open DOISearch in Google Scholar