SubjectsSubjects(version: 953)
Course, academic year 2019/2020
Decision Managerial Processes Simulation - S437026
Title: Decision Managerial Processes Simulation
Guaranteed by: Department of Economics and Management (837)
Faculty: Central University Departments of UCT Prague
Actual: from 2019 to 2019
Semester: winter
Points: winter s.:3
E-Credits: winter s.:3
Examination process: winter s.:
Hours per week, examination: winter s.:1/2, Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: Dyntar Jakub Ing. Ph.D.
Examination dates   Schedule   
Aim of the course

Aim of subject is to give basic information about simulation approach to project management tasks mainly in logistics. During the lessons students will be work on projects which deals with real problems from basic areas of logistics such as transportation, storage and manufacturing. A tool used to find optimal solution will be software product Witness combined with data analysis in MS Excel environment.

Last update: ROZ437 (29.05.2012)

[1] Learning Witness Manual, 1998, Lanner Group, Inc.

[2] Witness Manufacturing Workbook

[3] Manufacturing Performance Edition Tutorial Manual

Last update: ROZ437 (29.05.2012)

1. Management process modelling, methodology of decision situation models design

2. Simulation models, basic elements of simulation models

3. Random processes, their quantification in simulation models

4. Main areas of simulation models implementation in material and financial flows

5. Application of spreadsheets for simulation modelling

6. Directed graphs, Petri nets

7. Optimization processes in simulation models

8. Simulation software Witness

9. Basic simulation elements for simulation models design in Witness environment

10. Formulation of rules for control of modelled flows, WCL language

11. Communication environment of Witness, connections with enterprise information systems

12. Optimization tools, creation of summary reports

13. Case studies, short-term planning, service processes, prognostic models

14. Application of simulation model in technological processes optimization

Last update: ROZ437 (29.05.2012)
Entry requirements



advanced level of knowledge of MS Excel � statistical analysis, pivot tables, filters, basic functions

basic level of knowledge of Visual Basic � Macros


basic level of knowledge of quantitative methods: MILP, MINLP, CPM, queuing theory, transportation task, stockkeeping theory

basic level of knowledge of logistics: transportation, storage, manufacturing systems, DBR, JIT, Kanban

basic knowledge of management: project management, time management

Last update: ROZ437 (29.05.2012)