Development of qualimetric approaches to the processes of quality management system at enterprises according to international standards of the ISO 9000 series

Authors

DOI:

https://doi.org/10.15587/1729-4061.2016.75503

Keywords:

quality management system, quality indicator, assessment criterion, nonparametric statistics, graphic model

Abstract

For the assessment of the processes of the system of quality management (QMS) at enterprises, it is necessary to bring all estimations of the indicators of quality of the processes to one, desirably a dimensionless, scale of measurements. As the function of desirability for the conversion of various dimensional indicators of quality into a dimensionless value, applying a desirability function is proposed.

A peculiarity and a difference from the existing functions of desirability is the fact that it takes into account maximally permissible and minimally permissible values of the indicator of quality of a process, and also its best (optimal) value. In addition to this, the parameter of form and steepness of function is present, which will make it possible to use them for the assessment of the processes of different significance with different requirements for quality.

It is proposed to assess QMS through the values of the set of interconnected processes, i.e., to combine the assessments of different processes into one set of data and to estimate this set as a whole. This procedure will make it possible to increase the amount of information about the estimations of quality of the system as a set of processes, which will allow assessing the system as a whole with higher objectivity and reliability. The solution to this problem is proposed by statistical methods, using parametric and nonparametric statistics, since they do not require the knowledge of the law of distribution of a random value.

Author Biographies

Roman Trisch, Ukrainian Engineering – Pedagogical Academy Unyversytetskaya str., 16, Kharkov, Ukraine, 61003

Doctor of Technical Sciences, Professor

The department of labor protection, standardization and certification

Elena Gorbenko, Mykolayiv State Agrarian University Georgiy Gongadze str., 9, Nikolaev, Ukraine, 54020

PhD, Associate Professor

Department of mechanization and electrification of agricultural production

Natalia Dotsenko, Mykolayiv State Agrarian University Georgiy Gongadze str., 9, Nikolaev, Ukraine, 54020

PhD, assistant

Department of mechanization and electrification of agricultural production

Natalia Kim, Mykolayiv State Agrarian University Georgiy Gongadze str., 9, Nikolaev, Ukraine, 54020

Assistant

Department of mechanization and electrification of agricultural production

Ganna Kiporenko, Ukrainian Engineering – Pedagogical Academy Unyversytetskaya str., 16, Kharkov, Ukraine, 61003

PhD, Associate Professor

The department of labor protection, standardization and certification

References

  1. European Assessor Training Modulus (Assessed version), (2003). EFQM Publication, 137.
  2. Hamsher, D. H. Operational evaluation of research and development. Conf. Proc. Nat. Winter Convent. Military Electron, 3.
  3. Gnedenko, B. (1943). Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire. The Annals of Mathematics, 44 (3), 423. doi: 10.2307/1968974
  4. Harrington, E. C. Jr. (1965). The desirability Function. Industr. Quality Control, 21, 494–498.
  5. Saaty, T. L. (1972). An eigenvalue allocation model for prioritization and planning. Energy Management and Policy Center, University of Pennsylvania.
  6. Allen, G., Derr, R. (2016). Threat Assessment and Risk Analysis. An Applied Approach. Butterworth-Heinemann, 25–36.
  7. Olvera-García, M. Á., Carbajal-Hernández, J. J., Sánchez-Fernández, L. P., Hernández-Bautista, I. (2016). Air quality assessment using a weighted Fuzzy Inference System. Ecological Informatics, 33, 57–74. doi: 10.1016/j.ecoinf.2016.04.005
  8. Tzamalis, P. G., Panagiotakos, D. B., Drosinos, E. H. (2016). A “best practice score” for the assessment of food quality and safety management systems in fresh-cut produce sector. Food Control, 63, 179–186. doi: 10.1016/j.foodcont.2015.11.011
  9. Sharafoddin, S., Emsia, E. (2016). The Effect of Stock Valuation on the Company's Management. Procedia Economics and Finance, 36, 128–136. doi: 10.1016/s2212-5671(16)30024-7
  10. Gossen, E., Kuske, P., Abele, E. (2015). Quantification and Assessment Method for a Company's Product Piracy Risks. Procedia CIRP, 28, 185–190. doi: 10.1016/j.procir.2015.04.032
  11. Maletič, D., Maletič, M., Al-Najjar, B., Gomišček, B. (2012). The role of maintenance regarding improving product quality and company's profitability: A case study. IFAC Proceedings Volumes, 45 (31), 7–12. doi: 10.3182/20121122-2-es-4026.00040
  12. Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R., Váncza, J. (2014). Design and management of manufacturing systems for production quality. CIRP Annals – Manufacturing Technology, 63 (2), 773–796. doi: 10.1016/j.cirp.2014.05.002
  13. Rebelo, M. F., Santos, G., Silva, R. (2016). Integration of management systems: towards a sustained success and development of organizations. Journal of Cleaner Production, 127, 96–111. doi: 10.1016/j.jclepro.2016.04.011
  14. Trіshh, G. M. (2013). System of dependencies for assessment of enterprises quality management processes. Eastern-European Journal of Enterprise Tehnologies, 4/3 (64), 60–63. Available at: http://journals.uran.ua/eejet/article/view/16283/13802
  15. Trishh, R. M., Slitjuk, E. A. (2006). Obobshhjonnaja tochechnaja i interval'naja ocenki kachestva izgotovlenija detali DVS. Eastern-European Journal of Enterprise Tehnologies, 1/2 (19), 63–67.
  16. Trishh, R. M., Slitjuk, E. A. (2006). Tochechnaja i interval'naja ocenki kachestva izdelij. Vіsnik NTU „HPІ”, 27, 96–102.

Downloads

Published

2016-08-31

How to Cite

Trisch, R., Gorbenko, E., Dotsenko, N., Kim, N., & Kiporenko, G. (2016). Development of qualimetric approaches to the processes of quality management system at enterprises according to international standards of the ISO 9000 series. Eastern-European Journal of Enterprise Technologies, 4(3(82), 18–24. https://doi.org/10.15587/1729-4061.2016.75503

Issue

Section

Control processes