The course is included in these curricula and study modules
- Industrial management 2005 (native finnish speaking students) - Process management
- Industrial management 2005 (native swedish speaking students) - Process management
- Industrial management 2005 (international students) - Process management
- Industrial management 2004 (international students) - Automation technology
- Industrial management 2004 (native finnish speaking students) - Automation technology
- Industrial management 2004 (native swedish speaking students) - Automation technology
- Industrial management 2006 (native finnish speaking students) - Process management
- Industrial management 2006 (native swedish speaking students) - Process management
- Industrial management 2006 (international students) - Process management
Type of course
Recommended year of study
Total number of ECTS
The aim of the course is...to learn practical methods for solving numerical, random-event problems in production and business by using simulation techniques. Such situations occur in real life in scheduling of production, in waiting lines for service, and in logistic supply chains.
At the end of the course the student is expected to be able to...
- perform a physical simulation of a process
- understand, and correctly select, probability distributions
- build and run a mathematical simulation using a spreadsheet such as Excel
- plan, build, debug, calibrate, run and validate a mathematical simulation using state-of-the art software, such as Simul-8
- dedice when to use, and when not to use, the simulation method to solve real-life problems
What is simulation? When is it a good idea to apply simulation? What mathematical tools are available for simulation? Random numbers. Frequency distributions: rectangular, normal, exponential, Poisson. Useful software: Excel spreadsheet, Simul-8 dedicated software. Modeling and running a simulation. Interpreting the results of simulation. When not to simulate.
Prerequisites and co-requisites
A basic knowledge in mathematics is required. It is helpful to have some prior knowledge of statistics, economics and logistics.
Previous course names
Process Simulation, slightly varying versions, from 2003 to 2007.
Recommended or required reading
Course literature: Official web-based course notes by Henry Ericsson.
Taha, Hamdy A. Operations Research - an introduction. Prentice Hall, USA.
6th edition, 1997.
Mitrani, I. Simulation techniques for discrete event systems. Cambridge University Press, Cambridge 1982.
Mendenhall, Reinmuth & Beaver. Statistics for management and economics. Duxbury Press. Belmont, Calif. 1996.
- Lectures - 30 hours
- Exercise based learning - 30 hours
- Laboratory lessons and tasks in a simulated environment - 43 hours
- Individual studies - 30 hours
- Total workload of the course: 133 hours
- Of which autonomous studies: 30 hours
- Of which scheduled studies: 103 hours
Mode of Delivery
Participation in tuition
Reports and productions
Home page of the course
Assignments valid until
Until date 2009-04-16
The timetable of the course
The course will run in period 3.
2009-04-09 - Reports and productions