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Statements

Subject Item
n2:RIV%2F61989100%3A27360%2F10%3A86076813%21RIV11-MSM-27360___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
The paper is focused on search for suitable prediction models used for medium-term forecasting of the consumption of plates in plants producing heavy plate cut shapes. Demand time series for five product families, from the point of view of steel grade, have been assorted for this purpose. The time series include monthly demand data for the period from January 2007 to December 2009. Firstly, quantitative techniques based on time series analysis were used for the forecasting: simple moving average model with a multiplicative seasonal adjustment, Winter's exponential smoothing model and seasonal autoregressive integrated moving average (SARIMA) model. However, the application of these models is connected with two problems. First, time series are disrupted by the world crisis impacts. Second, time series does not affect the cycle component. That is why a prediction model using multilayer artificial neural network has been created. The paper is focused on search for suitable prediction models used for medium-term forecasting of the consumption of plates in plants producing heavy plate cut shapes. Demand time series for five product families, from the point of view of steel grade, have been assorted for this purpose. The time series include monthly demand data for the period from January 2007 to December 2009. Firstly, quantitative techniques based on time series analysis were used for the forecasting: simple moving average model with a multiplicative seasonal adjustment, Winter's exponential smoothing model and seasonal autoregressive integrated moving average (SARIMA) model. However, the application of these models is connected with two problems. First, time series are disrupted by the world crisis impacts. Second, time series does not affect the cycle component. That is why a prediction model using multilayer artificial neural network has been created.
dcterms:title
Forecasting the consumption of plates in plants producing heavy plate cut shapes Forecasting the consumption of plates in plants producing heavy plate cut shapes
skos:prefLabel
Forecasting the consumption of plates in plants producing heavy plate cut shapes Forecasting the consumption of plates in plants producing heavy plate cut shapes
skos:notation
RIV/61989100:27360/10:86076813!RIV11-MSM-27360___
n3:aktivita
n19:S
n3:aktivity
S
n3:dodaniDat
n4:2011
n3:domaciTvurceVysledku
n17:9334130
n3:druhVysledku
n5:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
259511
n3:idVysledku
RIV/61989100:27360/10:86076813
n3:jazykVysledku
n8:eng
n3:klicovaSlova
shapes; cut; plate; heavy; producing; plants; plates; consumption; Forecasting
n3:klicoveSlovo
n6:producing n6:plants n6:shapes n6:heavy n6:plate n6:plates n6:cut n6:consumption n6:Forecasting
n3:kontrolniKodProRIV
[FA7CC8CF9939]
n3:mistoKonaniAkce
Rožnov pod Radhoštěm
n3:mistoVydani
Rožnov pod Radhoštěm
n3:nazevZdroje
METAL 2010
n3:obor
n11:AH
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n4:2010
n3:tvurceVysledku
Lenort, Radim Staš, David Feliks, J.
n3:typAkce
n13:WRD
n3:zahajeniAkce
2010-05-18+02:00
s:numberOfPages
5
n15:hasPublisher
TANGER s.r.o. Ostrava
n10:isbn
978-80-87294-17-8
n7:organizacniJednotka
27360