Jun 28, 2024
OHIO University Undergraduate Catalog 2023-2024

ETM 3630 - Quality Management Systems


Theory and practice of quality assurance principles in manufacturing. Includes statistical process control, process capability, gage capability, and quality management.

Requisites: ETM 2080 and 2180 and (ISE 3040 or MATH 2500) and (Tier I junior composition course in ENG or ET or ETM) and advanced standing in ETM
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
  • Students will be able to explain principles and processes of a quality management system.
  • Students will be able to select and use the appropriate quality control or management & planning tool
  • Students will be able to explain and discuss Six Sigma as a management tool for Quality Assurance, a brief historical overview of the technique application, and the importance of Six Sigma in management strategy.
  • Students will be able to demonstrate knowledge of the importance of the voice of the customer in establishing a Quality management approach and, the value of Six Sigma teams in achieving quality system goals.
  • Students will be able to apply measurement indicators of performance.
  • Students will be able to use tools and techniques to apply Six Sigma in managing quality in the Design, Measure, Analyze, Improve, and Control problem solving process.
  • Students will be able to identify and apply basic concepts of statistical analysis as they apply to problem solving, and use them in some practical industrial examples.
  • Students will be able to identify control charts which are an aid in decision making and problem solving and use this approach in some practical industrial examples.
  • Students will be able to describe Six Sigma in relation to process capability, upper and lower specification limits, and capability ratio.
  • Students will be able to calculate, and explain probability theory and it’s application in Six Sigma quality systems.
  • Students will be able to explain and construct attribute control charts, and their importance in Six Sigma quality system problem solving.
  • Students will be able to explain product reliability, product life cycle, reliability measurement as they are determined in Six Sigma quality systems.
  • Students will be able to work in a team environment to complete a project using applicable tools identified in in this course and report results in written and presentation formats.


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