Course - Zero Defect Manufacturing - TØL4009
TØL4009 - Zero Defect Manufacturing
Examination arrangement: Assignment
|Evaluation form||Weighting||Duration||Examination aids||Grade deviation|
-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
- Measuring systems analysis, measuring technology and measuring uncertainty
After completing the course, the student will have,
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.
- 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.
- 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)
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.
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.
- Mandatory exercises
Further on evaluation
4 individual works - 3 must be approved before the final exam (report).
Mandatory presence at seminars.
In case of fail/non-assessment the student will need to re-take the course.
Exam: Project work report
The final grade is based on:
-Individual oral exam (15 minutes) may adjust the grade up or down to the final grade.
-For off campus students the oral exam will be arranged through web conference.
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Admission to a programme of study is required:
Sustainable Manufacturing (MSUMA)
Recommended previous knowledge
Basics of Statistics, Understanding of graphs
Course book reference available on BlackBoard
Supplementary literature : see information in LMS - BlackBoard
Credits: 7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2021
Language of instruction: English
- Engineering Subjects
Examination arrangement: Assignment
- Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
- Spring ORD Assignment 100/100 ALLE INSPERA
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"