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Apr 20, 2024
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Catalog 2016-2017 [ARCHIVED CATALOG]
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STEC 225 Quality and Statistical Process Control5 credits
This course studies the concept of Quality in manufacturing and looks specifically at Statistical Process Control as a tool to reduce variation in manufacturing processes. Other tools that will be introduced will be Six Sigma, Failure Mode Effect Analysis, and Gauge R&R. This course teaches to the Global Outcome of Information and Technical Literacy.
Prerequisites: MATH 090 and ABED 046 or equivalent placement score or instructor permission.
Global Outcome(s)
This course teaches to the global outcome of Information Literacy.
Student Outcomes/Competencies:
Upon successful completion of this course students will be able to:
- Apply the concepts of quality to manufacturing.
- Calculate and use the mean, median, mode, standard deviation, range, accuracy, and precision in assessing variation
- Construct a normal distribution curve and relate this to the Central Limit Theorem.
- Apply principals of variation to controlling a process
- Create a histogram
- Construct a mean/range control chart and interpret whether the control chart is in control.
- Interpret customer specifications and relate these to a process control chart by calculating a process capability ratio (Cp) and process capability index (CpK)
- Calculate and interpret a gauge repeatability and reproducibility (Gauge R&R) study
- Relate Six Sigma to the application of reducing variation
- Design a Failure Mode Effect Analysis for a manufacturing process
- Make sequential assumptions based on knowledge of reducing variation in a process.
- Apply collaborative skills (specifically the adoption of appropriate group roles, decision-making, and problem-solving) in small groups to solve a process problem
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