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Statements

Subject Item
n2:RIV%2F61989100%3A27230%2F13%3A86086247%21RIV14-MSM-27230___
rdf:type
n10:Vysledek skos:Concept
rdfs:seeAlso
http://www.hindawi.com/journals/mpe/2013/307652/
dcterms:description
The paper presents a mathematical and a simulation model of the freight trains classification process. We model the process as a queueing system with a server which is represented by a hump at a marshalling yard. We distinguish two types of shunting over the hump - primary shunting represents the classification of inbound freight trains over the hump (it is the primary function of marshalling yards) and secondary shunting is for example represented by the classification of trains of wagons entering the yard via industrial sidings. Inbound freight trains are considered to be customers in the system and all needs of secondary shunting are failures of the hump because performing secondary shunting occupies the hump and therefore inbound freight trains can not be sorted. All random variables of the model are considered to be exponentially distributed with the exception of costumer service times which are Erlang distributed. The mathematical model was created using method of stages and can be solved numerically employing a suitable software tool. The simulation model was created using coloured Petri nets. Both models are tested in conditions of a marhalling yard. The paper presents a mathematical and a simulation model of the freight trains classification process. We model the process as a queueing system with a server which is represented by a hump at a marshalling yard. We distinguish two types of shunting over the hump - primary shunting represents the classification of inbound freight trains over the hump (it is the primary function of marshalling yards) and secondary shunting is for example represented by the classification of trains of wagons entering the yard via industrial sidings. Inbound freight trains are considered to be customers in the system and all needs of secondary shunting are failures of the hump because performing secondary shunting occupies the hump and therefore inbound freight trains can not be sorted. All random variables of the model are considered to be exponentially distributed with the exception of costumer service times which are Erlang distributed. The mathematical model was created using method of stages and can be solved numerically employing a suitable software tool. The simulation model was created using coloured Petri nets. Both models are tested in conditions of a marhalling yard.
dcterms:title
Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns
skos:prefLabel
Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns
skos:notation
RIV/61989100:27230/13:86086247!RIV14-MSM-27230___
n10:predkladatel
n19:orjk%3A27230
n3:aktivita
n14:S
n3:aktivity
S
n3:cisloPeriodika
2013
n3:dodaniDat
n15:2014
n3:domaciTvurceVysledku
n8:6860273 n8:7604335
n3:druhVysledku
n11:J
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
88943
n3:idVysledku
RIV/61989100:27230/13:86086247
n3:jazykVysledku
n17:eng
n3:klicovaSlova
simulation, coloured Petri net; modelling; method of stages; Erlang distribution; queue; hump
n3:klicoveSlovo
n4:Erlang%20distribution n4:modelling n4:coloured%20Petri%20net n4:simulation n4:queue n4:hump n4:method%20of%20stages
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[6B0B2997C06D]
n3:nazevZdroje
Mathematical Problems in Engineering
n3:obor
n16:JO
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n15:2013
n3:svazekPeriodika
2013
n3:tvurceVysledku
Dorda, Michal Teichmann, Dušan
n3:wos
000326761300001
s:issn
1024-123X
s:numberOfPages
11
n9:doi
10.1155/2013/307652
n18:organizacniJednotka
27230