The Presented Thesis is focused on exploitation of stochastic cyclical networks in project management during project planning. Particularly, it is focused on the GERT method, which enables to carry out both the probability analysis and the time analysis of projects with stochastic structure. We deal primarily with analysis of such networks where cyclical activities occur. As an integral part of the Thesis, derivation of simplified computing procedures for cyclical activities is included. We extend the possibilities of the GERT method with stochastic evaluation of time duration of activities using the fuzzy GERT method. This fuzzy GERT method is applied on the real project and its results are compared to results of Monte Carlo simulation.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:17283 |
| Date | January 2010 |
| Creators | Sládková, Ivana |
| Contributors | Zouhar, Jan, Kuncová, Martina |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0016 seconds