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Prioritizing product quality problems using quality management tools

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In today's competitive business environment, effectively analyzing, evaluating, and resolving product quality problems is critical to maintaining customer satisfaction, reducing financial losses, and preserving a company's reputation. This study prioritizes internal and external quality problems in paperboard packaging using selected quality management tools. Product quality problems are categorized based on their frequency of occurrence and financial losses. Three quality management tools are used: the ParetoLorenz diagram, the matrix data analysis diagram, and the box plot. The Pareto-Lorenz diagram identified the key quality problems that generate the highest number of events and the greatest financial losses, consistent with the 80/20 rule. The matrix data analysis diagram divided the quality problems into four groups based on their combined impact, indicating critical problems for both categories. The box plot identified outliers and extremes, revealing quality problems with significantly higher frequency and financial impact than others. All quality tools used identified the overprint complaint with code 403 as critical. The results highlight the effectiveness of the quality management tools used in prioritizing product quality problems.
Wydawca
Rocznik
Strony
138--153
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
  • Czestochowa University of Technology, Poland
autor
  • Technical University in Zvolen, Slovakia
Bibliografia
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  • 3.Bamford, D.R., Greatbanks, R.W., 2005. The use of quality management tools and techniques: a study of application in everyday situations, International Journal of Quality & Reliability Management, 22(4), 376-392.
  • 4.Battini, D., Faccio, M., Persona, A., Sgarbossa, F., 2012. Design of an integrated quality assurance strategy in production systems. International Journal of Production Research, 50(6), 1682-1701.
  • 5.Biadacz, R. 2024. Application of Kaizen and Kaizen Costing in SMEs. Production Engineering Archives, 30(1), 17-35.
  • 6.Ciecińska, B., Oleksiak, B., 2023.The use of quality management tools to ensure safe working conditions at CO2 laser workstations, Production Engineering Archives, 29(4), 393-400.
  • 7.Czerwińska, K., Pacana, A., 2021. Improving the Manufacturing Process of Aluminium Rims, System Safety: Human - Technical Facility - Environment, 3(1), 38-46.
  • 8.Dorf, R.C., 1998. Technology Management Handbook, CRC Press, New York.
  • 9.Dumitrascu, D.-I., Rusu, A.-N., Dumitrascu, A.-E., 2024. Quality Defects Analysis for Manufacturing Processes of Automotive Trim Parts, Engineering Proceedings, 76(1).
  • 10.Garvin, D.A., 1984. What Does “Product Quality” Really Mean? Sloan Management Review, 26, 25-43.
  • 11.Gejdos, P., Zavadska, Z., Schmidtova, J., 2023. Determinants of the implementation of the quality management systems in SMEs, E&M Economics and Management, Technical University of Liberec, Faculty of Economics, 26(2), 58-68.
  • 12.Hamrol, A., 2024. Zarządzanie i inżynieria jakości, PWN, Warszawa.
  • 13.Hansen, E., Bush, R.J., 1999. Understanding Customer Quality Requirements: Model and Application, Industrial Marketing Management, 28(2), 119-130.
  • 14.Jagusiak-Kocik, M., 2023. Analysis and Assessment of Threats Existing in Selected Small Sports and Recreational Infrastructure Facilities Using Quality Management Tools, System Safety: Human - Technical Facility - Environment, 5(1), 103-111.
  • 15.Knop, K., 2015. Meaning of Quality Inspection and Control Methods during Manufacturing Process of Metal Sheet Stampings, Manufacturing Technology, 15(3), 266-274.
  • 16.Knop, K., 2021. Analysis and quality improvement of the UV printing process on glass packagings, Quality Production Improvement - QPI, 3(1), 314-325.
  • 17.Knop, K., Ziora, R., 2022. Statistical Analysis and Prediction of the Product Complaints, System Safety Human - Technical Facility - Environment, 4(1), 99-115.
  • 18.Krzywinski, M., Altman, N., 2014. Visualizing samples with box plots, Nat Methods, 11, 119-120.
  • 19.Marmolejo-Ramos, F., Tian, T.S., 2010. The shifting boxplot. A boxplot based on essential summary statistics around the mean, International Journal of Psychological Research, 3(1), 37- 45.
  • 20.Mazarei, A., Sousa, R., Mendes-Moreira, J., João & Molchanov, S., Ferreira, H., 2024. Online boxplot derived outlier detection, International Journal of Data Science and Analytics, 1-15
  • 21.Milan, D., Vysloužilová, D., 2023. Capability Studies as a Key Driver for Product and Pro-Cess Quality Assurance in Industrialization Process, System Safety: Human - Technical Facility - Environment, 5(1), 332-341.
  • 22.Mizuno, S., 1988. Management for Quality Improvement: The 7 New QC Tools, Productivity Pr. Inc., Woodland Hills, CA (USA).
  • 23.Nayatani, Y., Eiga, T., Futami, R., 2006. The seven QC tools: New tools for a new era, Environmental Quality Management, 4(1), 101-109.
  • 24.Pacana, A., Czerwińska, K., 2020. Improving the quality level in the automotive industry, Production Engineering Archives, 26(4), 162-166.
  • 25.Pavletic, D., Sokovic, M., Paliska, G., 2008. Practical Application of Quality Tools, International Journal for Quality Research, 2(3).
  • 26.Polańczyk, E., Matuszek, D.B., Hys, K., Pasek, M., Spalik, M., Rotkegel, A., 2024. Analysis of selected quality parameters of dried herbs available on the European market, Production Engineering Archives, 30(2), 182-190.
  • 27.Sadikin, M., 2023. Defect Reduction in The Manufacturing Industry: Systematic Literature Review, International Journal of Industrial Engineering and Engineering Management, 5, 73-83.
  • 28.Simanová, Ľ., Gejdos, P., 2015. The Use of Statistical Quality Control Tools to Quality Improving in the Furniture Business, Procedia Economics and Finance, 34, 276-283.
  • 29.Sitko, J., Midor, K., Ivanova, T.N., 2021. Analysis the Causes of Quality Defects in a Car Rack, E3S Web of Conferences 285, 07036.
  • 30.Stasiak-Betlejewska, R., Czajkowska, A., 2017. Quantification of the Quality Problems in the Construction Machinery Production, MATEC Web of Conferences, 94.
  • 31.Tague, N. R., 2005. The Quaity Tool Box, Quality Press, Milwaukee.
  • 32.Tarí, J., Sabater, V., 2004. Quality tools and techniques: Are they necessary for quality management? International Journal of Production Economics, 92(3), 267-280.
  • 33.Tashi, T., Mbuya, V.B., Gangadharappa, H., 2016. Corrective action and preventive actions and its importance in quality management system: A review, International Journal of Pharmaceutical Quality Assurance, 7, 1-6.
  • 34.Teixeira, H., Lopes, I., Sousa, S., 2015. Prioritizing Quality Problems in SMEs: A Methodology, TQM Journal, 27, 2-21.
  • 35.Thunyachairat, A., Jangkrajarng, V., Theeranuphattana, A. 2024. Total Quality Management Lean Practices and Firm Performance: Integrated Approach Using MBNQA Criteria in the Thai Automotive Industry. Production Engineering Archives, 30(3), 273-284.
  • 36.Tomic, B., Spasojević-Brkić, V., 2011. Effective root cause analysis and corrective action process, Journal of Engineering Management and Competitiveness (JEMC), 1(1/2), 16-20.
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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-403d6c4c-37dd-4116-86c2-068ae43e2418
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