MG1217 Production control 7.5 credits

digital tools for production planning and scheduling

optimization of production flows

methods for importing, combining, and converting data into suitable formats for data analysis

commonly used learning methods and algorithms for industrial use cases

risk analysis

After completing the course, students should be able to:

1. Explain the basic principles of production planning and control

2. Apply digital tools for data analysis and automation of monitoring, control, and optimization of production processes

3. Analyze the opportunities and risks of digitalization in industrial production environments

Completed course MG1205

• KON1 - Partial exam, 1.0 credits, grading scale: A, B, C, D, E, FX, F
• LAB1 - Laboratory work, 3.0 credits, grading scale: P, F
• SEM1 - Seminar, 2.0 credits, grading scale: P, F
• INL1 - Assignment, 1.5 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. If the course is discontinued, students may request to be examined during the following two academic years.

• 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.