Course: measurement and sampling error calculation for quality assurance and quality control
Improving quality is the key to mitigating risks and reducing costs. However, measurement and sampling error calculation is often overlooked. Measurement uncertainty should be part of QA/QC policy. Learn how to calculate the variability arising from solid materials measurement and to set sampling campaign to better monitor your process.
Measurement and sampling error calculation to enhance quality
Measurement uncertainty is critical for risk assessment and decision making. Sampling and measurement error should be calculated accurately. They are used to set the quality objectives, then to assess the quality of the measurement results over time regarding the set requirements. More and more, these deviations are determined as Key Performance Indicators (KPIs) in Quality Health Safety and Environment system.
In this training, you will learn how to calculate the measurement error related to the moisture content and particle size distribution for various materials. Then, you will learn how to design a sampling and measurement plan to meet tolerance requirements and identify points of improvement.
Intended audience
- Process engineers
- Technicians concerned by material characterization for quality control, plant survey and site diagnostic
Prerequisites
- Computing: use of spreadsheet software, such as Microsoft Excel
- Knowledge of methods for measuring moisture content and particle size distribution
- Basic knowledge of sampling issues
Measurements and their sources of uncertainty
Measuring moisture content and particle size distribution
- Overview of the standards
- Origins of measurement uncertainty and variability
Estimate the measurement error
- Components of the total measurement error – application to moisture content and particle size distribution
- Weighing error calculation
- Sampling error for moisture
- Sampling error for particle size distribution
- Analytical error of size distribution proportions for a simple case
- Uncertainty range for a size distribution
- Measurement error for parameters such as mean size, d80 or d95, dispersion
Case studies
- Calculation of the total measurement error of the moisture content and particle size distribution for various materials and measurement methods
- Design of a sampling and measurement plan for moisture content and particle size distribution to meet tolerance requirements
- Design of a sampling plan for the size distribution measurement of a coarse material
- Case of stocks or material stream
- Estimate overall errors for moisture and particle size distribution analyses
- Find answers: why measurement uncertainty calculation is important, how to set sampling and measurement campaign…
- Learn how to improve your sampling and measurement strategy
- Training is based on documents given to the trainees
- Using the sampling error calculator ECHANT, trainees will apply the theory to solve industrial case studies
Advantages
- Approach based on real cases
- Training in French or English
Download pdf (with registration form)
| Available on-site for teams |
1 day
English or French
1615 € (excl. taxes) / team
(max 5 people)
Face-to-face
CASPEO center – Orléans (France)
Training a team?
Measurement and sampling error calculation course is also proposed in intra-company mode.
It can be customized to your needs and your specific problems.
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