The primary objective is to present the concepts and methodology of simulation, such that the students learn how to construct simulation models, and how to use simulation as a tool to solve certain optimization problems in a business environment.
See description under 'onderwijsleeractiviteiten'('activities') for more details.
Order of enrolment:
The following course units should be:
* successfully completed: /
* taken before: /
* at least taken at the same time: /
Basic Statistics, General Computer Experience. Knowledge of a Programming Language is not absolutely required, but can be helpful.
This course is intended to be a first course on simulation. Basic concepts of simulation, and discrete event simulation in particular are introduced. A simulation tool (Arena) is used to construct and run simulation models, while accompanying tools (Input Analyzer, Output Analyzer, Process Analyzer, OptQuest) are used for analysis and optimization.
See description under 'onderwijsleeractiviteiten' for more details.
Is also included in other courses
- Study Abroad Programme in European Culture and Society (PECS)
- Master in de statistiek (Business Statistics) 120 ects.
- Master in de statistiek (General Statistical Methodology) 120 ects.
- Master in de statistiek (Industrial Statistics) 120 ects.
- Master in de toegepaste economische wetenschappen (Minor: Production en Logistics) 60 ects.
- Master of Advanced Business Studies 60 ects.
- Master in de toegepaste economische wetenschappen: handelsingenieur (Major: Production and Logistics) 120 ects.
- Master in de toegepaste economische wetenschappen: handelsingenieur (Minor: Production and Logistics) 120 ects.
- Master in de toegepaste economische wetenschappen: handelsingenieur in de beleidsinformatica 120 ects.
- Master in de ingenieurswetenschappen: werktuigkunde (Manufacturing and Management) 120 ects.
- Master of Statistics (Business Statistics) 120 ects.
- Master of Statistics (General Statistical Methodology) 120 ects.
- Master of Statistics (Industrial Statistics) 120 ects.
- Master in de informatica (uitdovend, enkel 2e fase) (Research Profile) 120 ects.
- Master of Information Management 60 ects.
- Master in de ingenieurswetenschappen: verkeer, logistiek en intelligente transportsystemen (Option Courses: Logistics and Transport) 120 ects.
- Master in de ingenieurswetenschappen: computerwetenschappen 120 ects.
- Master in de ingenieurswetenschappen: verkeer, logistiek en intelligente transportsystemen, programma voor industrieel ingenieurs of master industriële wetenschappen (aanverwante richting) (Logistics and Transport) 120 ects.
1. What is simulation?
2. Fundamental simulation concepts
3. Using Arena
4. Constructing simple models with the Basic Process Panel
5. Input analysis: specifying parameters and distributions
6. Constructing more complex models with the Advanced Process Panel
7. Output data analysis
8. Detailed modeling: Blocks and Elements Panel
9. Moving and transferring entities: Advanced Transfer Panel
10. Steady-state statistical analysis
11. Experimental design and optimization: using Process Analyzer and OptQuest
12. Generating random numbers and variates
13. Variance reduction techniques
After following this course, the students must be able to:
- explain the philosophy and the basic concepts of simulation;
- design and build medium-sized simulation models;
- design experiments and to analyse the statistical results;
- find an optimal configuration using simulation;
D. Kelton, R. Sadowski & N. Swets: Simulation with Arena, 5th edition, McGraw Hill, International edition, 2010, 636 p., ISBN 978-007-126771-7
Rockwell Automation Technologies, Arena Version 12.00.00 (Windows compatible software including extended Online Help function, can be downloaded from http://highered.mcgraw-hill.com/sites/0073376280/student_view0/arena_software_download.html ).
Determining the exam resultThe exam will be graded by the teacher. The result is expressed as a whole number on 20. The grading scheme is as follows:
- the four homeworks count for 40 % of the final grade;
- the exam counts for 60 % of the final grade.
Evaluating the homeworks
Four homework assignments are distributed in class (and via Toledo). Homeworks have to be solved in groups of 3 or 4 students. Deadlines for handing in the homework solutions are determined in advance, and are announced in class (and via Toledo). Each homework is graded on a scale from 0 (worst) to 7 (best). If a deadline is not respected, 1 point will be subtracted per day late.
Homework solutions are discussed in class.
Evaluation during the third exam period
The student has two opportunities to take an exam during the academic year: the first time during the first exam period, according to the semester of scheduling, and a second time during the third exam period. The evaluation during the third exam period is identical to the evaluation during th first exam period.
During the third exam period the homeworks are again part of the evaluation. The result that was obtained for the homeworks during the first semester can be retained, or the student can prefer to solve a new set of homeworks for the third exam period. The final grade in the third exam period will be computed in exactly the same way as in the first period.
The exam consists of open questions. Sample exam questions will be shown in class.