Nov 17, 2018
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.
This course teaches to the global outcome of Information Literacy.
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