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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F04%3APU47560%21RIV11-MSM-26210___
rdf:type
n16:Vysledek skos:Concept
dcterms:description
Main task of each production system is to generate maximum possible production. There are strong interactions between production and maintenance planning. This paper deals with an integrated lot sizing and maintenance planning problem. This problem consists in determining the lot sizes and preventive maintenance actions that satisfy resource constraints and the external demands for items and minimize the total setup, production, inventory holding and maintenance (both preventive and corrective) cost over the planning horizon. We propose a method for solving this problem based on genetic algorithms. Main task of each production system is to generate maximum possible production. There are strong interactions between production and maintenance planning. This paper deals with an integrated lot sizing and maintenance planning problem. This problem consists in determining the lot sizes and preventive maintenance actions that satisfy resource constraints and the external demands for items and minimize the total setup, production, inventory holding and maintenance (both preventive and corrective) cost over the planning horizon. We propose a method for solving this problem based on genetic algorithms.
dcterms:title
Using Genetic Algorithm for Production and Maintenance Planning Using Genetic Algorithm for Production and Maintenance Planning
skos:prefLabel
Using Genetic Algorithm for Production and Maintenance Planning Using Genetic Algorithm for Production and Maintenance Planning
skos:notation
RIV/00216305:26210/04:PU47560!RIV11-MSM-26210___
n3:aktivita
n19:V n19:Z
n3:aktivity
V, Z(MSM 261100009)
n3:dodaniDat
n12:2011
n3:domaciTvurceVysledku
n10:5337011 n10:3108384
n3:druhVysledku
n15:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
591736
n3:idVysledku
RIV/00216305:26210/04:PU47560
n3:jazykVysledku
n13:eng
n3:klicovaSlova
lot sizing, maintenance planning, genetic algorithms
n3:klicoveSlovo
n14:genetic%20algorithms n14:lot%20sizing n14:maintenance%20planning
n3:kontrolniKodProRIV
[52369E351CA2]
n3:mistoKonaniAkce
Vídeň
n3:mistoVydani
Vienna, Austria
n3:nazevZdroje
Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium
n3:obor
n5:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n12:2004
n3:tvurceVysledku
Janovec, Jiří Dvořák, Jiří
n3:typAkce
n17:WRD
n3:zahajeniAkce
2004-11-03+01:00
n3:zamer
n6:MSM%20261100009
s:numberOfPages
2
n21:hasPublisher
DAAAM International Vienna 2004
n8:isbn
3-901509-42-9
n9:organizacniJednotka
26210