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Simulation Theory and Applications (B-KUL-D0R19A)

6 ECTSEnglish39 First termCannot be taken as part of an examination contract
Verbeke Wouter |  Van Nieuwenhuyse Inneke (substitute)
OC Handelsingenieur en Handelsingenieur in de beleidsinformatica FEB Campus Leuven

Aims

Upon completion of this course, the student is able to:

  • Tackle complex business decision problems, for which analytical solutions are inappropriate or infeasible, using simulation in an appropriate and systematic way, adopting advanced mathematical and statistical concepts and methods.
  • Apply a methodological approach in translating a problem statement into a logical sequence of solution steps, including the development of a simulation model and the specification of an experimental setup, as well the application of an appropriate statistical analysis of the simulation results.
  • Interpret, explain and apply simulation results towards practical decision-making.
  • Critically reflect on the developed model and the analysis of simulation results, and rely on a solid quantitative and scientific foundation in the argumentation of decisions based on simulation results.

Previous knowledge

  • At the beginning of this course, the student should have sufficient knowledge of basic statistics and should have general computer skills.
  • Programming skills are not required but are helpful.

 

Is included in these courses of study

Activities

6 ects. Simulation Theory and Applications (B-KUL-D0R19a)

6 ECTSEnglishFormat: Lecture39 First term
Verbeke Wouter |  Van Nieuwenhuyse Inneke (substitute)
OC Handelsingenieur en Handelsingenieur in de beleidsinformatica FEB Campus Leuven

Content

Chapter 1: Introduction: what is simulation

Chapter 2: Fundamental concepts and building blocks in simulation

Chapter 3: Simulation software: Arena

Chapter 4: Constructing simple models: modeling basic operations and inputs

Chapter 5: Modeling detailed operations

Chapter 6: Statistical output analysis, process analysis & optimization

Chapter 7: Constructing more complex models, steady-state statistical analysis of non-terminating simulations

Chapter 8: Modeling transfer of entities: transporters and conveyors

Chapter 9: Generating random variates & variance reduction techniques

Course material

Books:

  • D. Kelton, R. Sadowski & N. Swets, Simulation with Arena, 5th edition, McGraw Hill, International edition, 2010, 636 p., ISBN 978-007-126771-7 (Required)
  • A.M. Law & D. Kelton, Simulation Modelling and Analysis, 3rd Revised edition, McGraw Hill Higher Education, 2000, ISBN-13 ‏ : ‎ 978-0071165372 (Recommended)

Software

  • Rockwell Automation Technologies, Arena Version 12.00.00: Windows compatible software including extended Online Help function which can be downloaded from http://highered.mcgraw-hill.com/sites/0073376280/student_view0/arena_software_download.html

Toledo

  • Course material will be made available on Toledo: slides, reader, etc.

Format: more information


 

Evaluation

Evaluation: Simulation Theory and Applications (B-KUL-D2R19a)

Type : Partial or continuous assessment with (final) exam during the examination period
Description of evaluation : Written, Paper/Project
Type of questions : Multiple choice, Closed questions, Open questions
Learning material : None

Explanation


Features of the evaluation

* Assignments can take place during the academic year. Assignments may have to be carried out in teams of multiple students. The deadline for submitting the assignments will be communicated via Toledo by the lecturer.
* The final exam takes place on-campus and may consist of multiple choice questions and/or open questions.

Determination of final grades

* The grades are determined by the lecturer as communicated via Toledo and stated in the examination schedule. The result is calculated and communicated as a number on a scale of 20.
* There is a correction for guessing on multiple choice questions, unless indicated otherwise.
* The final grade is a weighted score consisting of one or more assignments (maximum 40%), and the final examination (minimum 60%), as announced on Toledo. The assignments take place during the academic year. Peer review may apply for the assignments.

Second examination opportunity

* The features of the evaluation and/or the determination of grades may differ between the first and the second examination opportunity.
* Marks for assignments are counted again in the third exam period. Students can retake assignments upon request by e-mail to the lecturer by July 10 latest.