Analysis of the impact of personnel competency on uncertainty during calibration
Authors/Creators
- 1. National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»
- 2. National Aviation University
- 3. National University of Life and Environmental Sciences of Ukraine
Description
The object of this study is the assessment of total uncertainty during calibration in terms of assessing the component due to the competence of the personnel. The problems addressed here related to the lack of regulatorily-defined decision criteria regarding the materiality of the impact of the study component; improvement of existing statistics that would minimize errors of the first and second kinds to make a decision on the impact of personnel competence on uncertainty during calibration. A brief interpretation of the results obtained regarding errors of the first and second kinds and insufficient power of En, the statistics, which are most often used by calibration laboratories, alternative statistics are explained by violation of the conditions of their use. The proposed method based on the modified En-statistics shows the power of more than 95 % and the absence of parcels of the first and second kinds. This is due to the developed modification, which makes it possible to take into consideration the maximum permissible uncertainty. The peculiarity is the flexibility of the formula since the maximum permissible uncertainty is chosen according to metrological rules for the selection of standards. It differs for various measuring instruments; a specialist can be allowed to calibrate a less accurate measuring equipment tools and is not allowed to have high-precision ones. The scope of use of the obtained results can be certified calibration laboratories. This procedure will make it possible to obtain reliable data to devise internal methods for assessing uncertainty during calibration. The conditions for the practical use of the proposed method of assessing the impact of personnel based on the modified En-statistics in calibration laboratories are the presence of calibration methods that largely depend on the competence of the personnel, such as measurement of linear and mechanical quantities
Files
Analysis of the impact of personnel competency on uncertainty during calibration.pdf
Files
(516.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:442bde1109f8ea63e7b0b7a7f31030c6
|
516.5 kB | Preview Download |
Additional details
References
- ISO/IEC 17025:2017. General requirements for the competence of testing and calibration laboratories. URL: https://www.iso.org/ru/standard/66912.html
- How to Assess the Competence of Staff (2018). EUROLAB "Cook Book" – Doc No. 6. Available at: https://drive.google.com/file/d/1SiddJN67hJQKjm8sdDesXV3Y5_3gONMg/view
- EA-4/02 rev.03 – Expression of the uncertainty of measurement in calibration. Available at: https://www.accredia.it/en/documento/ea-4-02-rev-03-expression-of-the-uncertainty-of-measurement-in-calibration/
- ILAC Policy for Measurement Uncertainty in Calibration. Available at: https://ilac.org/?ddownload=123348
- ISO/IEC GUIDE 98-3:2008. Uncertainty of measurement — Part 3: Guide to the expression of uncertainty in measurement (GUM:1995). Available at: https://www.iso.org/standard/50461.html
- Quantifying Uncertainty in Analytical Measurement. EURACHEM, 133. Available at: https://www.eurachem.org/images/stories/Guides/pdf/QUAM2012_P1.pdf
- LaDuke, S. D. (2001). The role of staff development in assuring competence. Journal for Nurses in Staff Development (JNSD), 17 (5), 221–225. doi: https://doi.org/10.1097/00124645-200109000-00001
- Karthiyayini, N., Rajendran, C. (2021). An approach for benchmarking service excellence in accredited services of Indian calibration and testing laboratories. Materials Today: Proceedings, 46, 8218–8225. doi: https://doi.org/10.1016/j.matpr.2021.03.216
- Karthiyayini, N., Rajendran, C. (2017). Critical factors and performance indicators: accreditation of testing- and calibration-laboratories. Benchmarking: An International Journal, 24 (7), 1814–1833. doi: https://doi.org/10.1108/bij-04-2016-0058
- Karthiyayini, N., Rajendran, C., Kumaravel, M. (2018). Importance-performance analysis (IPA) for testing – and calibration – laboratories in India. Benchmarking: An International Journal, 25 (4), 1232–1244. doi: https://doi.org/10.1108/bij-12-2016-0190
- Macchi Silva, V. V., Ribeiro, J. L. D. (2019). Obtaining laboratory accreditation – required activities. International Journal of Health Care Quality Assurance, 32 (1), 71–83. doi: https://doi.org/10.1108/ijhcqa-10-2017-0191
- Mossalaeie, M. M. (2009). Laboratory quality regulations and accreditation standards in Iran. Clinical Biochemistry, 42 (4-5), 316. doi: https://doi.org/10.1016/j.clinbiochem.2008.09.030
- Vlachos, N. A., Michail, C., Sotiropoulou, D. (2002). Is ISO/IEC 17025 Accreditation a Benefit or Hindrance to Testing Laboratories? The Greek Experience. Journal of Food Composition and Analysis, 15 (6), 749–757. doi: https://doi.org/10.1006/jfca.2002.1097
- Aqidawati, E. F., Sutopo, W., Zakaria, R. (2019). Model to Measure the Readiness of University Testing Laboratories to Fulfill ISO/IEC 17025 Requirements (A Case Study). Journal of Open Innovation: Technology, Market, and Complexity, 5 (1), 2. doi: https://doi.org/10.3390/joitmc5010002
- Belezia, L. C., Almeida, M. F. L. de. (2021). Self-assessment model for testing and calibration laboratories based on ISO/IEC 17025:2017 requirements. Journal of Physics: Conference Series, 1826 (1), 012026. doi: https://doi.org/10.1088/1742-6596/1826/1/012026
- Yeremenko, V. S., Mokiychuk, V. M., Pashchenko, N. V. (2022) Kompetentnist personalu yak skladova nevyznachenosti kalibruvannia. 21 Mizhnarodna naukovo-tekhnichna konferentsiya «Pryladobuduvannia: stan i perspektyvy», 278–281.
- ISO/IEC 17043:2010. Conformity assessment – General requirements for proficiency testing. Available at: https://www.iso.org/ru/standard/29366.html
- ISO 5725-6:1994/COR 1:2001. Accuracy (trueness and precision) of measurement methods and results — Part 6: Use in practice of accuracy values — Technical Corrigendum 1. Available at: https://www.iso.org/ru/standard/36204.html
- Sobol', I. M. (1973). Chislennye metody Monte-Karlo. Moscow: Nauka, Glavnaya redaktsiya fiziko-matematicheskoy literatury, 312. Available at: https://www.twirpx.com/file/112117
- COOMET R/GM/19:2016. Rukovodstvo po otsenivaniyu dannykh dopolnitel'nykh slicheniy KOOMET. Available at: https://www.coomet.net/fileadmin/user_files/DOCUMENTS/PUBLICATIONS/Recommendations/R_19/Recommendation_R_GM_19_2016_Ru.pdf
- Kobzar', A. I. (2006). Prikladnaya matematicheskaya statistika. Dlya inzhenerov i nauchnykh rabotnikov. Moscow: Fizmatlit, 816. Available at: https://www.twirpx.com/file/38184/