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Simulation in Industrial Engineering 7,5 Credits

Course Contents

Discrete event simulation is an analysis method for system analysis in most areas of Industrial Engineering where processes are controlled by time-discrete start and stop events. Discrete event simulation can capture complex systems and analyze long time periods in the system in a very short real time. The method of analysis has been shown to be very powerful in the analysis of stochastic systems. The course limits its applications to production and logistics. In production, the effects of setup times, lot sizes, process times and capacity are analyzed. In logistics, the effects of transport times, inventory availability and cost calculations are analyzed. The course provides competence and experience to carry out your own simulation studies.

The course contains basic knowledge in the subject area of discrete event simulation in Industrial Engineering, mainly in the simulation for analysis of production and logistics systems. The course focuses on step-by-step methodology for simulation studies and methods used in simulation.
The course includes:
• Basic concepts in discrete event-driven simulation
• Simulation methodology, steps in a simulation study.
• Input modeling.
• Verification and validation of simulation models.
• Experimental planning and output analysis.
• Modeling in a commercial simulation software.
• The use of simulation. Simulation of production and logistics systems.
The examples used in the course and in the examination are linked to applications in Industrial Engineering. The course provides practical experience in modelling in Industrial Engineering linked with theory for in-depth simulation analysis.


General entry requirements and completed courses comprising 60 credits in first cycle including Mathematical Statistics, 7,5 credits

Level of Education: Undergraduate
Course code/Ladok code: TSEP11
The course is conducted at: School of EngineeringLast modified 2021-08-12 10:46:55