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 Systems and relevant international standards - Measuring systems analysis, measuring technology and measuring uncertainty

Learning outcome

After completing the course, the student should have the following learning outcomes;

KNOWLEDGE: Students will have advanced understanding of: - Quality management -statistical and probabilistic methods to reach zero defects -quality management methods and tools, -risk management methods such as FMEA - Measuring systems - understand the underlying basics, usefulness and pitfalls of quality tools such as MSA, FMEA, DOE, SPC, Isikawa diagram, etc.

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

General 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 recordings. Seminars with lectures and discussions. Tutoring (internet web conferencing) -Group work and Mandatory assignment and Reflection seminars. The course will be made accessible for both campus- and remote students. Lectures that sums up the main issues in the lecture will also be available on internet through NTNU's learning management system. Tutoring is also available via internet

Obligatory assignments:

Individual assignments: Students must pass 70% of individual assessments to take final assessment/exam.

Form(s) of Assessment (additional text);

1. Written project report.
2. Individual oral exam (15 minutes). For off campus students the oral exam can be arranged through web conference.

Compulsory assignments

• Compulsory assignments

Specific conditions

Recommended previous knowledge

Basics of Statistics, Understanding of graphs

Course materials

Course book reference available on BlackBoard Learning Management System (LMS). Supplementary literature : see information in LMS - Blackboard.

Credit reductions