UNCERTAINTY IN MEASUREMENT

UNCERTAINTY IN MEASUREMENT DURATION: 2 DAYS; TIME SCHEDULE Time - 9:00am to 5:00pm Break - 10:15am to 10.30am and 3:15pm to 3:30pm Lunch - 1:00pm to 2:00pm INTRODUCTION All the measurement are influenced by various of error factors contributed to measurement results and these contribution errors are the uncertainty of measurement, thus the quality of measurement result is quantified by this uncertainty. Scope:  Definition of measurement uncertainty  Define measurement processes  Identify sources of measurement error  Select the appropriate error distributions (statistical)  Estimate uncertainties using Type A and Type B analysis methods  Establish error contribution  Combine uncertainties  Develop and report uncertainty estimates for measurements BENEFITS Upon completion of this program, participants will be able to: This program provides an overview of the measurement uncertainty requirements of ISO/IEC 17025. It is an ideal starting point toward understanding the measurement uncertainty requirements as they apply to your laboratory. You will learn an effective approach to calculating measurement uncertainty and methods for controlling measurement uncertainty in your measurement processes. This program includes exercises and discussions. You will gain an understanding of calculating the Measurement Uncertainty to meet the accreditation mandatory requirements of ISO/IEC 17025. KEY CONTENT MODULE 1 - TERMINOLOGY MODULE 2 - INTRODUCTION OF METROLOGY  Classification  Standards  Measurement Traceability And Uncertainty  National And International Body (CGPM, CIPM, BIPM, NML)  Calibration And Testing Laboratory  Proficiency Test MODULE 3 - DEVELOPMENT OF ESTIMATION OF MEASUREMENT UNCERTAINTY  International Body Of Responsibility On Measurement Uncertainty  The Standard For The Guidance On Measurement Uncertainty MODULE 4 - INTRODUCTION OF MEASUREMENT UNCERTAINTY  Determining Measurement Uncertainty  Measurement Uncertainty Consideration  Managing Uncertainty

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MODULE 5 - MATHEMATICAL CONCEPTS IN MEASUREMENT UNCERTAINTY  Calculus o Differentiation o Partial Differentiation o Numerical Differentiation  Statistical o Sample And Population o Center Of Tendency, Dispersion And Others Measure o Center Limit Of Theorem o Expectation And Variance o Correlation And Regression o Analysis Of Variance (ANOVA) o Design Of Experiments (DOE)  Probability Distribution o Normal Distribution (Example Given) o Rectangular Distribution (Example Given) o Triangular Distribution (Example Given) o U-Shape Distribution (Example Given) MODULE 6 - CONCEPT IN MEASUREMENT SYSTEM  Introduction  Gauge Accuracy Studies  Gauge Capability Studies  Measurement Process Control  Type Of Measurement Errors  The Risks Due To Measurement Errors MODULE 7 - MEASUREMENT UNCERTAINTY  The Measurement Problem  Mathematical Model  Evaluation Of Type A Uncertainty  Evaluation Of Type B Uncertainty  Sensitivity Of Coefficients  Combined Standard Uncertainty/Law Of Propagation Uncertainty  Effective Degree Of Freedom  Expanded Standard Uncertainty  Reporting The Standard Uncertainty  Summary  Uncertainty Budget MODULE 8 - COMMON FORMULAE AND DISTRIBUTIONS MODULE 9 - SUMMARY OF MEASUREMENT UNCERTAINTY MODULE 10 - WORKED EXAMPLES & CLASS EXERCISES MODULE 11 - APPENDIX

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AUDIENCE Practicing metrologies, calibration and testing staff, personnel responsible for implementing uncertainty analysis methods and procedures for ISO 17025 compliance. Participants must be comfortable using a scientific calculator and simple algebra formulas. METHODOLOGY This stimulating program will maximize the understanding and learning through Training slides, Review Questions, Exercises, Case Study and Q&A.

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