Course syllabus

Digitala fabriker
Digital Plants

MMKN01, 7,5 credits, A (Second Cycle)

Valid for: 2012/13
Decided by: Education Board 3
Date of Decision: 2012-04-25

General Information

Language of instruction: The course will be given in English on demand

Aim

The aim of the course is to provide knowledge in modelling, simulation and analysis of industrial production systems and how the information is managed with respect to the digital representation with respect to the product realization process. Theory and methodology is given to support the project tasks and how software tools are used from an engineering perspective in order to design solutions to produce effective industrial production systems.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

• understand theories and methods for modelling and representation of products and production systems in software tools.
• understand and use methods for modelling, simulation and analysis of products and production systems for digital plants.
• design and optimise a digital production system with respect to a defined specification.
• understand how information is handled for validation of digital and real plants.
• assess a design layout and characteristic features of digital models of plants for efficient use of these.

Competences and skills
For a passing grade the student must

• make use of different digital representations for products and resources and put these together to represent the plant.
• model a production system and perform simulation and optimization of the system.
• use software tools including discrete event simulation and time continuous simulation and product life manegement.
• present results through oral and written argumentation, propose solutions on given tasks.

Contents

The course is project oriented and focuses on three main problem areas: (1) Modelling of production systems, (2) simulation tools for digital plants, and (3) information flow in digital plants for products and resources.

• Lectures which focus on theory and the defined problem areas.
• Project work which should treat the different areas and also go deeper into relevant areas in the industry.
• Laboratory exercises which provide practical insights in relation to lectures and project work.

Examination details

Grading scale: TH
Assessment: Each student will present results from project work as a final report, and models and simulations in connections to defined project tasks. These are in general made in groups of two students or individual. The result from the final report is graded based on the different sub tasks made.

Admission

Admission requirements:

• FMAA01/FMAA05 Calculus in One Variable, FMA420 Linear Algebra, FMA430 Calculus in Several Variables, MMT045 Flexible Manufacturing Systems and EDA011 Programming, First Course or EDA501 Programming, First Course

The number of participants is limited to: No
The course might be cancelled: If the number of applicants is less than 16.

Reading list

• Compendia and other materials (program code, digital models, etc.) which will be available for the course on Luvit (web page).

Contact and other information

Course coordinator: Giorgos Nikoleris, giorgos.nikoleris@mkon.lth.se
Course homepage: http://www.mkon.lth.se