Laboratory Operations, Analyzers, R&D, R&T
Advanced Good Laboratory Practice (GLP) and Uncertainty Measurement
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Advanced Good Laboratory Practice (GLP) and Uncertainty Measurement Course
Introduction:
Course Objectives:
After completion of the course the participants will be able to:
- Identify the dangerous Practices and how to minimize risks associated with them.
- To exercise total quality management in producing reliable, consistent, and independent results and on-time to their customers.
- To use statistical process control and quality control charts in their analysis and test results
- To emphasize on equipment calibration and maintenance as part of the quality assurance and quality control procedures.
- To increase the awareness of the occupational health and safety in the laboratory environment, and exercising total professionalism in scientific and management areas.
- To identify the most effective and efficient practice in planning, organizing, prioritizing, and executing the business requirements.
- To develop effective communication and interpersonal skills among lab personnel and maximize the use of electronic reporting (e.g. LIMS)
- To identify the best practice of auditing and certification to ensure the adherence to quality systems
- To use statistical analysis such as mean, standard deviation and other mathematical models to minimize the tolerance in results
- To develop specific techniques for calibration of laboratory equipment’s.
Who Should Attend?
Laboratory managers, analytical chemists, medical scientists, laboratory supervisors, research and development scientists, microbiologists, food technologists and quality assurance/control managers.
Course Outlines:
- Introduction and expectation of the course
- Laboratory Organization and Personal
- Quality Assurance and Quality Control
- Safety Assurance
- Laboratory Communications
- Procedures and Reporting Results
- How to Handle Customer’s Complaints
- Calibration
- Samples and Test Data Storage (LIMS)
- Inspection and Assessment
- Uncertainty of measurement – what’s the problem?
- Definitions of metrological terms.
- Correlated contributions.
- Traceability, corrections and SI units.
- Calculation of uncertainty for a test.
- Report back on calculation and introduction of forms for calculating uncertainties.
- Statistical Process Control Charts
- Pooled standard deviation.
- Variance and other mathematical models.
- Errors and customers complaints.
- Sampling, destructive testing.
- Non-destructive testing.
- Non-numeric results.
- Effective degrees of freedom.
- How many measurements?
- Statement of uncertainty and compliance.