Certificate in Statistical Quality Assurance Principles
-- ViewingNowThe Certificate in Statistical Quality Assurance Principles is a comprehensive course that provides learners with a solid foundation in statistical methods and quality assurance principles. This course is essential for professionals who want to advance their careers in industries such as manufacturing, healthcare, and technology, where quality control and improvement are critical.
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โข Fundamentals of Statistical Quality Assurance: An introduction to the key concepts, principles, and practices of statistical quality assurance, covering its importance, benefits, and applications. โข Statistical Methods for Quality Control: A study of various statistical methods and techniques for quality control, including control charts, acceptance sampling, and hypothesis testing. โข Quality Improvement Techniques: An exploration of various quality improvement techniques, such as Lean Six Sigma, root cause analysis, and process capability analysis. โข Measurement Systems Analysis: An examination of the principles and practices of measurement systems analysis, including gauge repeatability and reproducibility (R&R) studies and uncertainty analysis. โข Design of Experiments (DoE): A deep dive into the principles and practices of design of experiments, including factorial and fractional factorial designs, response surface methodology (RSM), and optimization techniques. โข Quality Planning and Control Tools: A survey of various quality planning and control tools, such as flowcharts, process maps, Pareto charts, and cause-and-effect diagrams. โข Quality Management Systems (QMS): An overview of various quality management systems, such as ISO 9001, and their implementation and maintenance. โข Statistical Process Control (SPC): A study of statistical process control, including process capability indices, control charts, and process monitoring and improvement. โข Supply Chain Management and Quality: An examination of the role of statistical quality assurance in supply chain management, including supplier evaluation, selection, and monitoring.
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