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Homepage>BS Standards>75 PETROLEUM AND RELATED TECHNOLOGIES>75.080 Petroleum products in general>BS EN ISO 4259-4:2021 Petroleum and related products. Precision of measurement methods and results Use of statistical control charts to validate 'in-statistical-control' status for the execution of a standard test method in a single laboratory
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immediate downloadReleased: 2023-11-14
BS EN ISO 4259-4:2021 Petroleum and related products. Precision of measurement methods and results Use of statistical control charts to validate 'in-statistical-control' status for the execution of a standard test method in a single laboratory

BS EN ISO 4259-4:2021

Petroleum and related products. Precision of measurement methods and results Use of statistical control charts to validate 'in-statistical-control' status for the execution of a standard test method in a single laboratory

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Standard number:BS EN ISO 4259-4:2021
Pages:46
Released:2023-11-14
ISBN:978 0 539 29365 4
Status:Standard

BS EN ISO 4259-4:2021 - Precision of Measurement Methods and Results for Petroleum and Related Products

Unlock the full potential of your laboratory's testing capabilities with the BS EN ISO 4259-4:2021 standard. This comprehensive guide is essential for ensuring the precision and reliability of measurement methods and results in the petroleum industry. Released on November 14, 2023, this 46-page document is a must-have for any laboratory aiming to maintain the highest standards of accuracy and consistency.

Why Choose BS EN ISO 4259-4:2021?

The petroleum industry demands the utmost precision in measurement methods and results. The BS EN ISO 4259-4:2021 standard provides a robust framework for validating the 'in-statistical-control' status of your laboratory's test methods. By utilizing statistical control charts, this standard ensures that your laboratory's testing procedures are not only accurate but also consistent over time.

Key Features

  • Standard Number: BS EN ISO 4259-4:2021
  • Pages: 46
  • Release Date: November 14, 2023
  • ISBN: 978 0 539 29365 4
  • Status: Standard

Comprehensive Coverage

This standard covers a wide range of topics essential for the petroleum industry, including:

  • Precision of measurement methods
  • Validation of 'in-statistical-control' status
  • Use of statistical control charts
  • Execution of standard test methods in a single laboratory

Benefits of Implementing BS EN ISO 4259-4:2021

Implementing the BS EN ISO 4259-4:2021 standard in your laboratory offers numerous benefits:

  • Enhanced Accuracy: Ensure that your measurement methods yield precise and reliable results.
  • Consistency: Maintain consistent testing procedures over time, reducing variability and improving reliability.
  • Quality Assurance: Validate the 'in-statistical-control' status of your laboratory's test methods, ensuring compliance with industry standards.
  • Efficiency: Streamline your laboratory's testing processes, saving time and resources.

Who Should Use This Standard?

The BS EN ISO 4259-4:2021 standard is ideal for:

  • Laboratory Managers
  • Quality Assurance Professionals
  • Petroleum Industry Researchers
  • Statisticians
  • Anyone involved in the testing and analysis of petroleum and related products

Stay Ahead of the Curve

In an industry where precision and reliability are paramount, staying ahead of the curve is crucial. The BS EN ISO 4259-4:2021 standard equips your laboratory with the tools and knowledge needed to achieve and maintain the highest levels of accuracy and consistency in your testing methods.

Invest in Quality

Investing in the BS EN ISO 4259-4:2021 standard is an investment in the quality and reliability of your laboratory's testing procedures. Ensure that your laboratory meets and exceeds industry standards, providing your clients with the confidence they need in your results.

Conclusion

Don't compromise on the precision and reliability of your laboratory's testing methods. The BS EN ISO 4259-4:2021 standard is your comprehensive guide to achieving and maintaining the highest standards of accuracy and consistency in the petroleum industry. With its detailed coverage and practical guidance, this standard is an invaluable resource for any laboratory committed to excellence.

Order your copy of the BS EN ISO 4259-4:2021 standard today and take the first step towards unparalleled precision and reliability in your laboratory's testing methods.

DESCRIPTION

BS EN ISO 4259-4:2021


This standard BS EN ISO 4259-4:2021 Petroleum and related products. Precision of measurement methods and results is classified in these ICS categories:
  • 75.080 Petroleum products in general
This document specifies the process and methodology for the construction, operation, and maintenance of statistical control charts to assess if a laboratory's execution of a standard test method is in-statistical-control and how to establish and validate the 'in-statistical-control' status. It specifies control charts that are most appropriate for ISO/TC 28 test methods where the dominant common cause variation is associated with the long term, multiple operator conditions. The control charts specified for determination of in-statistical-control are: individual (I), moving range of 2 (MR2), and either the exponentially weighted moving average (EWMA) or zone-based run rules [similar to Western Electric (WE) run rules[3]] as sensitivity enhancement strategy to support the I-chart. The procedures in this document have been primarily designed for numerical results obtained from testing of control samples prepared from a homogenous source of petroleum and related products in a manner that preserves the homogeneity of properties of interest between control samples. If the test method permits, a certified reference material (CRM) sample is used as a control sample provided the sample composition is representative of the material being tested and is not a pure compound; if this is done then the laboratory best establishes its own mean for the CRM sample. This document is applicable to properties of interest that are (known to be) stable over time, and for data sets with sufficient resolution to support validation of the assumption that the data distribution can be approximately represented by the normal (Gaussian) model. Mitigating strategies are suggested for situations where the assumption cannot be validated.