Search course

Use the search function to find more information about the study programmes and courses available at Chalmers. When there is a course homepage, a house symbol is shown that leads to this page.

Graduate courses

Departments' graduate courses for PhD-students.

​​​​
​​

Syllabus for

Academic year
MPR271 - Simulation of production systems
 
Syllabus adopted 2008-02-26 by Head of Programme (or corresponding)
Owner: MPPEN
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Mechanical Engineering
Department: 44 - PRODUCT AND PRODUCTION DEVELOPMENT


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0107 Project 7,5c Grading: TH   7,5c    

In programs

MPMIC MICROTECHNOLOGY, MSC PROGR, Year 2 (elective)
MPPEN PRODUCTION ENGINEERING, MSC PROGR, Year 1 (compulsory)
MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR - Automation specialization, Year 1 

Examiner:

Bitr professor  Björn Johansson
Univ lektor  Bertil Gustafsson


Replaces

MPR270   Manufacturing simulation

Course evaluation:

http://document.chalmers.se/doc/1949716831


Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Same as for the Production engineering programme, MPPEN.

Aim

The Course Vision is an in-depth insight about the potential of the virtual world for the industrial innovation processes. Moreover an improved awareness about methods and tools for the integration of simulation technology in product, process and production development work procedures.

The purpose of the course is to give an overview of the significance and role for virtual technique used in modern industrial processes. An additional aim is that the student, based on established theory, should train skills in handling production flows, specifically to build models with professional Discrete Event Simulation software.

Learning outcomes (after completion of the course the student should be able to)

Govern essential concepts for Discrete Event Simulation, specially those who belong to production flows
In good order describe a systematic work method for Discrete Event Simulation projects.
Create conceptual models regarding the logic in smaller production flows
Show skill in using a professional Discrete Event Simulation software
Develop stochastic and dynamic models with the software
Describe the theory of Constraints and apply it
Design a rational experimental plan for optimizing the modelled production system
By analysing statistical output from the model, in a report argue in favour of solutions which fulfil the requirements for making the production system more efficient
Justify the virtual world as an important visual communication channel for modern product, process and production development
Summarize a scientific paper and orally present the most important content to perform an easy-to-listen appearance with clear illustrations within allotted time.

Content

The course covers the following topics:
- Theoretical basics of Discrete Event Simulation
- Discrete Event Simulation for Sustainable Manufacturing
- Working methodology for Discrete Event Simulation projects
- Theory and practice for building models with a professional DES-software
- Theory for collecting data, applied statistic and experiment design
- Theory of Constraints for analyses of production flows
- The virtual world as a visual communication channel for efficient Concurrent Engineering

Organisation

The course is built using problem oriented pedagogy. Centre of learning gravity lays to a great extent on a project work where the students cooperate in groups of two. The practical learning element begins with some simple exercises in purpose to be familiar with the Discrete Event Simulation software.

The project work, which is mandatory for examination, takes action in applying the learned work methodology. Develop a model representing a bad performing production flow system. And furthermore, with support from Discrete Event Simulation analyze its weaknesses and in a technical report present proposals for making the production system more efficient. In addition to lectures focusing on theory, the students will read scientific papers and give a small presentation on their own.

Literature

o CoursePM
o Power-point presentations available
at the course homepage
o Conference Papers
o Software Manual.

Examination

Passed exercises, project report including computer model code and written examination covers all areas in the course. The grading scale is: Failed, 3, 4 and 5.
The work output from the project is outstanding regarding grade weights and measures. The result from the written examination , which is mandatory, will serve as decision support to put up or down the grade in borderline cases. The performed quality regarding summarizing a scientific paper is also used as decision support in these cases.


Page manager Published: Thu 04 Feb 2021.