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Statements

Subject Item
n2:RIV%2F00216305%3A26510%2F13%3APU107085%21RIV14-MSM-26510___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
The Critical Path Method (CPM) is widely use for planning and control of complex projects. The CPM identifies the critical path of a network chart. The CPM requires the availability of clear defined time duration for each activity (activity time). However, thus clear defined (accurate) values are not known in real situations. There is always uncertainty about the time durations of activities. There is the PERT method which computes with uncertainties, but this method is demanding to studying and implementing. The uncertainties of the time durations of activities can be also described by fuzzy sets. This paper shows how fuzzy numbers are used to determine a critical path method in a fuzzy project network, where the duration time of each activity is expressed by a triangular fuzzy number. The described method is compared with Monte Carlo method. The comparison shows that the method described in this paper is simple to calculating a critical path than many methods (e.g. PERT) shown in literature. The Critical Path Method (CPM) is widely use for planning and control of complex projects. The CPM identifies the critical path of a network chart. The CPM requires the availability of clear defined time duration for each activity (activity time). However, thus clear defined (accurate) values are not known in real situations. There is always uncertainty about the time durations of activities. There is the PERT method which computes with uncertainties, but this method is demanding to studying and implementing. The uncertainties of the time durations of activities can be also described by fuzzy sets. This paper shows how fuzzy numbers are used to determine a critical path method in a fuzzy project network, where the duration time of each activity is expressed by a triangular fuzzy number. The described method is compared with Monte Carlo method. The comparison shows that the method described in this paper is simple to calculating a critical path than many methods (e.g. PERT) shown in literature.
dcterms:title
Critical Path Method based on Fuzzy Numbers: Comparison with Monte Carlo Method Critical Path Method based on Fuzzy Numbers: Comparison with Monte Carlo Method
skos:prefLabel
Critical Path Method based on Fuzzy Numbers: Comparison with Monte Carlo Method Critical Path Method based on Fuzzy Numbers: Comparison with Monte Carlo Method
skos:notation
RIV/00216305:26510/13:PU107085!RIV14-MSM-26510___
n18:predkladatel
n19:orjk%3A26510
n3:aktivita
n20:S
n3:aktivity
S
n3:dodaniDat
n7:2014
n3:domaciTvurceVysledku
n13:3663973 n13:1076426
n3:druhVysledku
n16:D
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
67316
n3:idVysledku
RIV/00216305:26510/13:PU107085
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Monte Carlo method, fuzzy set, fuzzy number, fuzzy critical path, activity time.
n3:klicoveSlovo
n4:fuzzy%20number n4:fuzzy%20critical%20path n4:activity%20time. n4:Monte%20Carlo%20method n4:fuzzy%20set
n3:kontrolniKodProRIV
[CACE779185B2]
n3:mistoKonaniAkce
Roma
n3:mistoVydani
Rome, Italy
n3:nazevZdroje
Creating Global Competitive Economies
n3:obor
n10:AE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n7:2013
n3:tvurceVysledku
Doskočil, Radek Doubravský, Karel
n3:typAkce
n6:WRD
n3:zahajeniAkce
2013-11-13+01:00
s:numberOfPages
10
n5:hasPublisher
International Business Information Management Association
n17:isbn
978-0-9860419-1-4
n15:organizacniJednotka
26510