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  • The paper deals with a comparison of two different approaches (deterministic approach and Monte Carlo method) calculation of the probability of completion of the project. The base assumption of authors can be expressed: The difference between the results obtained by the Monte Carlo method and deterministic approach is not significant with increasing number of simulations (iterations). For this reason the hypothesis was formulated: There is no statistically significant difference between the calculated probabilities, i.e. both approaches are identical from application point of view. The problem was solved using the example project whose model (network chart) contained 18 nodes and 24 activities (18 real. 6 fictions). For each activity have been known three time estimates (pessimistic, most likely, optimistic). The planned date of completion of the project was selected at 200 time units and it was calculated the probability of completion of the project by deterministic approach and Monte Carlo method. T
  • The paper deals with a comparison of two different approaches (deterministic approach and Monte Carlo method) calculation of the probability of completion of the project. The base assumption of authors can be expressed: The difference between the results obtained by the Monte Carlo method and deterministic approach is not significant with increasing number of simulations (iterations). For this reason the hypothesis was formulated: There is no statistically significant difference between the calculated probabilities, i.e. both approaches are identical from application point of view. The problem was solved using the example project whose model (network chart) contained 18 nodes and 24 activities (18 real. 6 fictions). For each activity have been known three time estimates (pessimistic, most likely, optimistic). The planned date of completion of the project was selected at 200 time units and it was calculated the probability of completion of the project by deterministic approach and Monte Carlo method. T (en)
Title
  • Comparison of Deterministic Approach and Monte Carlo Methods for Stochastic PERT Chart
  • Comparison of Deterministic Approach and Monte Carlo Methods for Stochastic PERT Chart (en)
skos:prefLabel
  • Comparison of Deterministic Approach and Monte Carlo Methods for Stochastic PERT Chart
  • Comparison of Deterministic Approach and Monte Carlo Methods for Stochastic PERT Chart (en)
skos:notation
  • RIV/00216305:26510/14:PU109911!RIV15-MSM-26510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 8047
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26510/14:PU109911
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Monte Carlo, PERT method, probability of project completion, statistical testing. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8567F41534EF]
http://linked.open...v/mistoKonaniAkce
  • Valencia
http://linked.open...i/riv/mistoVydani
  • Valencia, Spain
http://linked.open...i/riv/nazevZdroje
  • Vision 2020: Sustainable Growth, Economic Development, and Global Competitiveness
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Doskočil, Radek
  • Doubravský, Karel
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000339308100197
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • International Business Information Management Association (IBIMA)
https://schema.org/isbn
  • 978-0-9860419-2-1
http://localhost/t...ganizacniJednotka
  • 26510
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