MG2103 Industrial Process Engineering 6.0 credits

Industriell Produktionsteknik

The course focuses on part manufacturing and thus deals with principles for building manufacturing systems, as well as the latest technology in part manufacturing and automation of material handling.

Course topics include industrial control systems, communication technology, sensors and servo systems, flexible manufacturing systems, production lines and material handling. Particular attention will be paid to control and automation technology, and process and condition monitoring used in manufacturing cells.

Other areas covered include analysis of manufacturing processes and recognition of improvement opportunities, based on factory flow simulation. During the course, the student will be introduced to typical simulation models for supporting production related decisions.Lean production implementation methods will also be covered.

Finally, basic maintenance management methods, required for ensuring sufficient up-time and proper working and environmental conditions.

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Offering and execution

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Course information

Content and learning outcomes

Course contents *

The course covers the sub-areas:

  • The components and structure of machine tools and industrial robots
  • Advanced manufacturing systems and intelligent machine tools as integrated parts of the manufacturing system
  • Flow and precision simulation for analysis and improvement of manufacturing systems and manufacturing processes
  • Measurement and characterisation of the precision of machine tools

Intended learning outcomes *

On completion of the course, the student should be able to:

  • describe basic design and work principles for machine tools and industrial robots

  • explain the concept of machining systems and factors that influence the precision of the systems
  • use simulation tools for analysis and design of manufacturing systems
  • justify when and why characterisation and testing of production machines are important
  • compare how different product properties influence the choice of manufacturing processes, planning and operation
  • use information from scientific articles and international standards for problem solving.

For higher grades furthermore:

  • assess and justify differences between the different machine tool designs
  •  propose and justify solutions for design of, and work principles for machine tools and industrial robots for a flexible and resource efficient production

Course Disposition

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Literature and preparations

Specific prerequisites *

MG1002 "Automation technology" 6 credits, or the equivalent
English B or the equivalent knowledge.

Recommended prerequisites

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Equipment

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Literature

Can be downloaded from Canvas by registered course participants

Examination and completion

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • INLA - Assignment in Simulation, 1.0 credits, Grading scale: A, B, C, D, E, FX, F
  • INLB - Assignment Process Improvment, 1.0 credits, Grading scale: A, B, C, D, E, FX, F
  • LABA - Laboratory Exercises, 2.0 credits, Grading scale: P, F
  • TEN1 - Written Exam, 2.0 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.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Examiner

Andreas Archenti

Further information

Course web

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.

Course web MG2103

Offered by

ITM/Production Engineering

Main field of study *

Mechanical Engineering

Education cycle *

Second cycle

Add-on studies

No information inserted

Contact

Andreas Archenti, archenti@kth.se; Jerzy Mikler, jerzy.mikler@itm.kth.se

Ethical approach *

  • 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.