English

Not applicable.

Of all faculties

Random variables and probability distribution, information processing.

Credit requirements: Participation in the exercises and the elaboration of semester work are required.
Examination: the examination consists of an oral and written part.

Lessons are completed according to the FSI schedule. Missed lessons can be individually compensated.

The aim of the course is to provide students with the practical knowledge in the field of modern methods for the simulation and modelling of production systems. It focuses primarily on technological processes and manufacturing systems and applies the principles of discrete simulation for their modelling. The application of simulation methods to designing and controlling discrete systems and processes is analysed, in the field of a strategic planning and operational control. Both modern simulation and APS software products are used in the lessons. New methods and approaches are explained by means of examples and by solving industrial planning and sheduling problems. The course will familiarise students with the given field and provide them with instructions for solving particular problems. The seminars will focus on solving particular issues raised by the students.

Practice experiences and knowledge in the field of Planning, Scheduling and Simulation are obtained from students. Students are able to build simulation model and use this one to solve various planning and design problems using modern interactive simulation and APS tools.

Not applicable.

Not applicable.

Averill M. Law, W. David Kelton: Simulation Modeling and Analysis
Jerry Banks, Discrete-Event System Simulation
Kusiak A. - Engineering Design

A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation
Chang T. et al. - Computer-Aided Manufacturing
Martin Ch. - Logistic and Suply Chain management