This course focuses on quality control in industrial systems, with an emphasis on statistical process control (SPC) and process improvement methodologies. Key topics include process modeling, hypothesis testing, and SPC techniques for both long and short production runs. Students will learn about process capability analysis, capability indexes, and Six Sigma tools, including the DMAIC framework for systematic process improvement. Additional topics include acceptance sampling and the design of experiments to optimize production processes.
Prerequisite Courses
Corequisites
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