Course content

Topic(s)
-Evolution of Quality Design and Control
-Statistical Methods and Probability Concepts in Manufacturing
-Statistical Process Control (SPC)
Failure Mode Assessment and Evaluation (FMEA)
Design of Experiments (DoE)
-Lean manufacturing and Six Sigma
-Quality Management System and relevant international standards

Learning outcome

After completing the course, the student will have,

KNOWLEDGE:
Students will have advanced understanding of:
-statistical and probabilistic methods to reach zero defects
-quality management methods and tools,
-risk management methods such as FMEA

SKILLS:
- be able to apply probability models and statistical tools, quality and risk management to achieve zero defect manufacturing.
- apply tools such as FMEA, DOE, SPC, Isikawa diagram, etc.

COMPETENCE:
- understand, utilize and develop zero defect manufacturing applied to industry context
- being able to set Zero defect manufacturing in a broader understanding on manufacturing and see the limitations and usefulness.

Learning methods and activities

The course includes:
Lectures given on video recording
Tutoring (internet web conferencing)
Group works
Mandatory assignments
Reflection seminars

The course will be made accessible for both campus- and remote students. Every student are free to choose the pedagogic arrangement form that are best fitted for her/his own requirement. Lectures that sums up the main issues in the lecture will also be available on internet through NTNU's learning management system. Tutoring are given at campus in accordance to announced times. Tutoring is also available via internet.In addition, for remote students there will be at least one gathering at campus with mandatory attendance.

Obligatory assignments:

• Individual assignments
• Students must pass 3 of 5 individual assessments to take final assessment


Form(s) of Assessment (additional text)
• Written home exam
• Individual oral exam (15 minutes)
• For off campus students the oral exam can be arranged through web conference.

Compulsory assignments

• Assignments

Specific conditions

Recommended previous knowledge

Basics of Statistics, Understanding of graphs

Course materials

Course book reference available on Fronter
Supplementary literature : see information in LMS - BlackBoard

Credit reductions