Valid for: 2016/17
Decided by: Education Board E
Date of Decision: 2016-04-04
Main field: Food Product and Packaging Development.
Compulsory for: MFIPDES2
Elective Compulsory for: MLOG2
Elective for: I4, M4, MD4
Language of instruction: The course will be given in English
The course provides theoretical and practical knowledge of
simulation and an understanding of simulation as a work method to
model and analyse complex systems and phenomena in the logistics
field using discrete event simulation. This means that upon course
completion, you will be able to identify simulation problems,
construct simulation models and validate, verify and statically
analyse them using computer-based tools. You will also acquire the
experience of conducting an actual simulation project in the
business world. From this you will gain important insights into the
management of a simulation project and its application in
industry.
Knowledge and understanding
For a passing grade the student must
• describe the principles behind discrete event simulation
• define and describe the fundamental steps of the simulation
methodology
• identify and formulate a simulation problem
• define relevant data to collect for simulation models
• verify and validate simulation models
• analyse and experiment with simulation models
• describe the fundamental properties of distribution functions
based on previously acquired knowledge of probability
Competences and skills
For a passing grade the student must
• demonstrate the ability to organize and manage a simulation
project
• apply the simulation methodology and critically evaluate its
usability
• problematize a complex system and use it as a base for
conceptualization
• develop conceptual models of real systems
• construct simulation models using a commercial software
program
• use simulation models to evaluate different scenarios
• design an experiment using factor analysis
• analyse the simulation results using a commercial statistical
software program
• estimate the accuracy of the simulation results using a
research approach
• construct animation models using a commercial software
program
• independently conduct simulation studies
Judgement and approach
For a passing grade the student must
• report and present, orally and in writing, the solution of a
practical problem solved by using discrete event simulation
• discuss with different target groups the value and
applicability of the discrete event
simulation
• demonstrate insight into the possibilities and limitations of
the simulation, and its use in industry
The course is built on project-based learning in which the foremost
course component is that of carrying out a complete simulation
project based on a real problem in industry or the community. The
project is carried out in a group and follows a research approach
based on all the important steps of simulation methodology: from
problem and goal formulations to the final analysis and evaluation
of the simulation results. Throughout the project, you will receive
ongoing feedback from your supervisor and from seminars. Your will
also receive support from computer-aided lectures, individual
assignments, and guest lectures from companies. The lectures will
primarily deal with the use of the simulation software and the
course literature, but will also include considerable discussion on
the potential difficulties in the individual assignments. The guest
lectures will provide good insight into how different companies
implement and use discrete event simulation.
Grading scale: TH
Assessment: Examination will be done individually or in group form. During the course, the simulation project will be presented in an oral presentation and in a technical report.
Parts
Code: 0114. Name: Simulation Exercises.
Credits: 2,5. Grading scale: UG. Assessment: The student shall do a number of simulation exercises, which shall be presented to and approved by the course assistant.
Code: 0214. Name: Simulation Project.
Credits: 5. Grading scale: UG. Assessment: The student shall do an applied simulation project in a group. The student shall attend guest lectures, seminars and the final project presentation. The project is approved by the course leader.
The number of participants is limited to: No
The course might be cancelled: If the number of applicants is less than 12.
The course overlaps following course/s: MTTN10
Examinator: Docent Daniel Hellström, daniel.hellstrom@plog.lth.se
Course coordinator: Pernilla Derwik, pernilla.derwik@plog.lth.se
Course homepage: http://www.plog.lth.se/education/master-courses/