MG2045 Decision-making for Advanced Manufacturing 6.0 credits

The course is about decision support systems in advanced manufacturing technology, based on industrial metrology tools and procedures. The course includes an extensive review of advanced manufacturing processes and industrial metrology tools, methods, algorithms and their applicability, configurations, subsystems, structure, design and operational capability. During the course, extensive training is given in handling and evaluation of production and measurement data through use of applicable statistical tools and algorithms for machine learning to receive and account result with traceability. The course intends to teach the students how measuring techniques assist decision support in advanced production. On completion of the course, the students will be able to apply new knowledge through three main activities : design, carry out and document personal research.

After passing the course, the students should be able to:

1. Describe advanced manufacturing processes
2. Explain the importance of metrology (measurement technology) in advanced manufacturing processes
3. Describe methods and instruments that are used industry for metrology purposes
4. Evaluate measurement and manufacturing data by use of suitable statistical tools and algorithms for machine learning
5. Apply decision support systems for advanced manufacturing

Admitted to a Master's programme (two-year).

If the course is discontinued, students may request to be examined during the following two academic years.

• INLA - Individual home assignment, 1.5 credits, grading scale: A, B, C, D, E, FX, F
• LABA - Laboratory work, 1.5 credits, grading scale: P, F
• PROA - Project work, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Andreas Archenti

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.