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Nov 03, 2024
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EMGT 6110 - Principles of Six Sigma Application of statistics to control of quality and reliability in products and services, including training in the Six Sigma DMAIC problem-solving methodology. Topics include: tools and techniques for statistically-based product and process improvement; design of acceptance sampling and process control systems, including attention to inspection and test methods; and design and implementation of quality assurance programs, including nonstatistical dimensions of quality systems.
Requisites: EMGT 6100 Credit Hours: 4.0 lecture Repeat/Retake Information: May not be retaken. Lecture/Lab Hours: 4.0 lecture Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I Learning Outcomes: - Students will be able to apply control charts to control product and process quality.
- Students will be able to construct and use sampling plans for attributes.
- Students will be able to demonstrate the application of quality control methods to a non-manufacturing application.
- Students will be able to develop and analyze control charts for variables using individual measurements and groups.
- Students will be able to develop and analyze control charts for measuring proportion and defects.
- Students will be able to develop and analyze advanced control charts: CUSUM (cumulative sum) and EWMA (exponentially weighted moving average) charts.
- Students will be able to identify methods for reducing the variance in a process.
- Students will be able to identify sources of variance in a process.
- Students will be able to measure process and system capability ratios.
- Students will be able to utilize statistical software to develop control charts and analyze them.
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