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New approach of costs of quality according their trend of during long period in industrial enterprises in SMEs

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Języki publikacji
EN
Abstrakty
EN
Very important in SMEs is to monitor cost of quality and economic indicators for valuation of cost effectiveness. The main goal of this article is to create classification on cost quality categories in SMEs and to analyze economic quality indicators and their trend during long period. In this article authors use economical and statistical indicators for costs of quality. We use common model PAF, that include prevention costs, evaluation costs, internal failure costs, external failure costs. Total costs, individual simple cost index, cost ratio and cost structure were used. We analyzed data from 50 small enterprises with 10-40 employees with their yearly turnover max 3 mil €. The research sample of enterprises was focused on industrial areas of business such as engineering, metallurgy, automotive industry. We analyzed the quality costs in SMEs by the average value of quality cost in all surveyed enterprises. Results of this research brought labeling of cost of quality in SMEs by model the PAF for 10 categories for various enterprises, what is very important for comparing of results of QMS in SMEs. Based on the reference indicators of the total costs of quality in SMEs we can conclude their drop. Reducing the costs of quality was reflected in particular in reducing the costs of internal and external errors. In assessing the economic efficiency in SMEs plays an important role the overall cost that were increasing in reporting period. Very important result is that the cost of quality did not influenced overall cost. This fact is positive for competitiveness in SMEs because it shows a quality of production and product. Reducing of cost of quality brought improving of product quality; reduced customer’s complaints brought financial savings. The economic efficiency indicator shows a value above e > 1. It means that, despite rising cost enterprises generate revenues that are significantly higher than the input factors of production. Cost effectiveness helps to improve TQM performance.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
20--26
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
  • Technical University of Košice Institute of Earth Sources Park Komenského 19, Košice, Slovak Republic
autor
  • Mendel University of Brno Faculty of Business and Economics Zemědelská 1, Brno, Czech Republic
Bibliografia
  • [1] A. Alglawe, A. Schiffauerova, O. Kuzgunkaya. “Analysing the cost of quality within a supply chain using system dynamics approach.” Total quality management and Business Excellence, vol.30, no. 15-16, pp. 1630-1653, 2019.
  • [2] A.K. Pattanayak, A. Prakash, R.P. Mohanty. “Risk analysis of estimates for cost of quality in supply chain: a case study.“ Production Planning & Control, vol. 30, no 4, pp. 299-314, 2019.
  • [3] D. Bamford, N. Land. ”The application and use of the PAF quality costing model within a footwear company.” International journal of quality and reliability management, vol. 23, no.3, pp. 265-271, 2006.
  • [4] R. Colin, B. Falk, M. Durlich, R. Jochem. ”Do quality costs still matter?” Total quality management & business excellence, vol. 26, no. 7-8, pp. 1-12, 2015.
  • [5] P. Cremieux, S.N. Finkelstein, E.R. Berndt et al. “Cost effectiveness, Quality - Adjusted Life-years and supportive care.“ Pharmacoeconomics , no.16, pp. 459-472, 1999.
  • [6] J. Hrubec, E. Virčíková, a kol. Integrovaný manažérsky systém. SPU: Nitra, 2009.
  • [7] S. Hurná, K. Teplická, M. Straka. “Use of statistical quantitative methods for monitoring quality parameters of raw materials.“ Przemysl chemiczny, vol. 97, no. 1, pp. 59-63, 2018.
  • [8] CH.Y. Ching. “Improving the definition and quantification of quality costs.” Total quality management & business excellence, vol. 19, no. 3, pp. 175-191, 2008.
  • [9] Š. Markulik, et al. “Causal dependence of events under management system conditions.” MM Science Journal, vol. 10, pp. 1040-1042, 2016.
  • [10] Š. Markulik, R. Kozel. “Transformation of product characteristics in terms of a management system.” MM Science Journal. vol. 20, pp. 900-902, 2016.
  • [11] M. Rosiawan, M. L. Singgih, E. Widodo. “Model of quality costs and economic benefits of a business process of manufacturing companies.” Cogent Engineering, vol 6, no 1, pp. 125-132, 2019.
  • [12] H. Pačaiová, J. Sinay, A. Nagyová. “Development of GRAM - A risk measurement tool using risk based thinking principles.” Measurement, vol. 100, pp. 288-296, 2017.
  • [13] F. Sgardea, M. Stanila, O. Georgiana, M.C. Partal. “Total quality cost - a reconsideration of the importance-performance analysis in managerial accounting.” Metalurgia, vol. 15, pp. 49-52, 2009.
  • [14] A. Schiffauerova, V. Thomson. “A review of research on cost of quality models and best practices”, International Journal of Quality & Reliability Management, vol. 23 no. 6, pp. 647-669, 2006.
  • [15] K. Soundararajan, K.J. Reddy. “Cost reduction and quality improvement using DMAIC in the SMEs.” Internationl journal of productivity and performance management, vol. 68, no 8, pp. 1-15, 2019.
  • [16] S. Sturm, G. Keiser, E. Hartmann. “Long run dynamic between cost of quality and quality performance.” International journal of quality and reliability management, vol. 36, no. 8, pp. 78-86, 2019.
  • [17] A. Sütőová, S. Segiňáková. “Improving information flow for decision making on product quality in the automotive industry.” Quality Innovation Prosperity, vol. 22, no 1, pp. 71-78, 2018.
  • [18] A. Sütőová, M. Šolc. “Utilization of statistical methods within the European Performance satisfaction index rating methodology.” Quality, Innovation, Prosperity, vol. 13, no 1, pp. 77-83, 2009.
  • [19] A. Šatanová, J. Závadský, M. Sedliačiková, M. Potkány, Z. Závadská, M. Holíková. “How Slovak small and medium manufacturing enterprises maintain quality costs: an empirical study and proposal for a suitable model.” Total Quality management and Business Excellence, vol. 25, no 6, pp. 146-154, 2014.
  • [20] E. Škvareková, et al. “Analysis of Risk Factors for Underground Coal Gasification.“ Management Systems in Production Engineering, vol. 27, no 4, pp. 227-235, 2019.
  • [21] F. Talib, Z. Rahman, M.N. Quereshi. “Prioritizing the practices of total quality management: An analytic hierarchy process analysis for the service industries.” Total Quality Management, vol. 22, no. 12, pp. 1331-1351, 2011.
  • [22] K. Teplická, M. Pavlíčková. “Economic indicators of quality of quality and theri influence on cost effectiveness,“ in Proceedings of the scientific conference quality and leading innovation“ Hradec Králové, Czech Republic 2014, pp. 105- 116.
  • [23] K. Teplická, S. Hurná, J. Kádárová. “Comparison of Using Managerial Instruments in Industry Companies in Slovakia and the Czech Republic.“ Technology, Education, Management, Informatics, vol. 8, no. 4, pp. 1191-1197, 2019.
  • [24] J. Závadský, et al. “Competences in the quality management system evaluation based on the most worldwide used key performance indicators.” Quality - Access to Success, vol. 20, no 169, pp. 29-41, 2019.
  • [25] K. Zgodavová, M. Kisela, A. Sütőová. “Intelligent approaches for an organisation’s management system change.” TQM Journal, vol. 28, no. 5, pp. 760-773, 2016.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e1088616-5da6-4656-bd9f-065af4c20b79
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