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Faculty of Applied Science & Technology

Quality Assurance – Manufacturing and Management

Get high-quality preparation for a high-quality career.

For the Winter 2021 semester, this program will be delivered through a hybrid model that combines remote and in-person learning. View delivery modes for all programs.

Learning Outcomes

Program Learning Outcomes

  • Implement and document national and international quality assurance standards such as ISO 9000 and TS 16949.
  • Design and perform experiments to determine critical areas of product development and analyze the results and form conclusions for quality improvement.
  • Use statistical process control techniques (SPC) recognized throughout industries to ensure the quality level of products.
  • Lead or work with quality assurance professionals to assess, evaluate and improve quality planning procedures to ensure quality production using accepted quality assurance techniques, including Failure Mode and Effect Analyses (FMEA), Production Part Approval Process (PPAP), Advanced Product Quality Planning (APQP).
  • Apply the principles and techniques of Total Quality Management in improving quality practices within an industrial or service organization.
  • Be aware of and apply different auditing practises within an organization including internal, second and third party auditing.
  • Apply principles and techniques of metrology (measurement), including Measurement System Analysis (MSA) to determine the accuracy of product components.
  • Apply techniques of geometric dimensioning and tolerancing to ensure that product components conform to design requirements.
  • Apply principles of modern logistic that involves the management of the movement, protection, and storage of product from supplier to customer.
  • Select and develop appropriate instrumentation techniques to measure product and process performance.
  • Apply principles and techniques of reliability engineering to predict product and system performance.
  • Apply Lean Manufacturing tools and Six Sigma methodology to address the identification of waste from a process and to address problems process quality and consistency.