TQM in Laboratory Operations
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TQM in Laboratory Operations Course
Introduction:
The objective of a laboratory is to extract and present the information contained within a sample to decision-makers who rely on laboratory results to make informed choices. The consequences of making incorrect decisions can be significant. This course focuses on exploring the fundamental elements of Quality in Laboratory Operations from the perspective of Total Quality Management (TQM). This approach entails identifying and addressing all factors and sources of uncertainty that may impact the reliability of laboratory results. By thoroughly examining these influences, participants will learn how to ensure the accuracy and dependability of laboratory outcomes, minimizing the risks associated with incorrect decisions.
Course Objectives:
This course is designed to give the participants:
- A thorough understanding of the factors which could influence the results of laboratory analyses.
- The factors, which are important for good laboratory operations.
- The use of statistical techniques to estimate the uncertainty in measurements
Who Should Attend?
Research Directors and Managers, Laboratory Managers, Laboratory Chemists and Engineers, Laboratory operators. Persons using the results of laboratories.
Course Outlines:
- Introduction to Total Quality Management Concepts
- Laboratory organization based on the TQM concept
- The factors which could affect Measurement Quality
- Quality assurance of chemical measurements
- Introduction to basic statistical concepts – a refresher
- Refresher exercises on statistics
- Frequency distributions, probability
- The normal curve and its properties
- Sources of error, confidence intervals
- Principles of Measurement
- Sensitivity, limits of detection, selectivity
- Calibration principles, Reference materials
- Blank correction
- Traceability, standards
- Sampling discrete items and from bulk
- Sample tracking, Laboratory Information Systems (LIMS)
- Standard operating procedures (SOP)
- Reproducibility, repeatability
- Calculation of measurement uncertainty
- Case Study & Exercises
- Calculation of confidence intervals from measurement data
- Comparison of values.
- Single tail tests.
- Two tail tests
- Analysis of variance
- Exercise, and examples
- Regression analysis
- Construction of calibration lines
- Construction of relationship lines
- Exercises and examples
- Summary
- Course evaluation
- Students must bring to the course a calculator with statistical functions.