Skip to main content
Log in

Inter-laboratory comparison scheme for fuel sector, LABKAR in Turkey

  • Practitioner's Report
  • Published:
Accreditation and Quality Assurance Aims and scope Submit manuscript

Abstract

Fuel sector is one of the powerful sectors in Turkish industry. The implementation of a new law for regulating the fuel sector had enforced the quality control of fuels sold to public. This resulted in several accredited fuel-testing laboratories to emerge. Thus, a scheme to evaluate their proficiency in measurements became an important requirement. The inter-laboratory comparison scheme LABKAR for gasoline, diesel oil, LPG, lubricating oil and biodiesel samples have evolved to fulfill this need. In this paper, LABKAR is introduced; the results obtained from the program are analyzed and discussed. The kernel densities of the participants’ results show that the use of robust mean as a consensus value is appropriate for fuel samples. Although the number of rounds is not enough to derive strict conclusions, it is seen that the performance of the scheme based on the standard deviations and coefficient of variations is improving in each round. It has been observed that the number of laboratories receiving “action” or “warning” is decreasing, which indicates that they are benefiting from the scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  1. ISO/IEC 17025 (2005) General requirements for the competence of testing and calibration laboratories. International Organization for Standardization (ISO), Geneva

    Google Scholar 

  2. ISO 13528 (2005) Statistical methods for use in proficiency testing by inter-laboratory comparisons. International Organization for Standardization (ISO), Geneva

    Google Scholar 

  3. Thompson M, Ellison SLR, Wood R (2006) The international harmonized protocol for the proficiency testing of analytical chemistry laboratories. IUPAC Tech Rep Pure Appl Chem 78(1):145–196. doi:10.1351/pac200678010145

    Article  CAS  Google Scholar 

  4. Silverman BW (1982) Kernel density estimation using the fast Fourier transform. Appl Stat 33:93–97. doi:10.2307/2347084

    Article  Google Scholar 

  5. Silverman BW (1986) Density estimation for statistics and data analysis. Chapman and Hall, London

    Google Scholar 

  6. Scott DW (1992) Multivariate density estimation: theory, practice, and visualization. Wiley, New York

    Book  Google Scholar 

  7. Duda RO, Stork DG, Hart PE (2000) Pattern classification. Wiley, New York

    Google Scholar 

  8. IUPAC Draft Guide (2008) Selection and use of proficiency testing schemes for a limited number of participants (chemical analytical laboratories)

Download references

Acknowledgments

Thanks are due to the Reviewers and the Editor for their valuable comments. We are very grateful to Emine Kavdır and Ezgi Özkılıç for their help in the course of developing the LABKAR scheme.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Özlem Türker Bayrak.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Türker Bayrak, Ö., Okandan, E. & Üçkardeş, H. Inter-laboratory comparison scheme for fuel sector, LABKAR in Turkey. Accred Qual Assur 14, 497–502 (2009). https://doi.org/10.1007/s00769-009-0542-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00769-009-0542-7

Keywords

Navigation