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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F13%3A00209293%21RIV14-MSM-21220___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://cks.univnt.ro/cks_2013_archive/cks_2013_articole.html
dcterms:description
In the aviation industry, propeller motor engines have a lifecycle of several thousand hours of flight and the maintenance is an important part of their lifecycle. The present article considers a multi-resource, priority-based case scheduling problem, which is applied in a Romanian manufacturing company, that repairs and maintains helicopter and airplane engines at a certain quality level imposed by the aviation standards. Given a reduced budget constraint, the management’s goal is to maximize the utilization of their resources (financial, material, space, workers), by maintaining a prior known priority rule. An Off-Line Dual Maximum Resource Bin Packing model, based on a Mixed Integer Programing model is thus presented. The obtained results show an increase with approx. 25% of the Just in Time shipping of the engines to the customers and approx. 12,5% increase in the utilization of the working area. In the aviation industry, propeller motor engines have a lifecycle of several thousand hours of flight and the maintenance is an important part of their lifecycle. The present article considers a multi-resource, priority-based case scheduling problem, which is applied in a Romanian manufacturing company, that repairs and maintains helicopter and airplane engines at a certain quality level imposed by the aviation standards. Given a reduced budget constraint, the management’s goal is to maximize the utilization of their resources (financial, material, space, workers), by maintaining a prior known priority rule. An Off-Line Dual Maximum Resource Bin Packing model, based on a Mixed Integer Programing model is thus presented. The obtained results show an increase with approx. 25% of the Just in Time shipping of the engines to the customers and approx. 12,5% increase in the utilization of the working area.
dcterms:title
An off-line dual maximum resource bin packing model for solving the maintenance problem in the aviation industry An off-line dual maximum resource bin packing model for solving the maintenance problem in the aviation industry
skos:prefLabel
An off-line dual maximum resource bin packing model for solving the maintenance problem in the aviation industry An off-line dual maximum resource bin packing model for solving the maintenance problem in the aviation industry
skos:notation
RIV/68407700:21220/13:00209293!RIV14-MSM-21220___
n8:predkladatel
n17:orjk%3A21220
n4:aktivita
n7:S n7:P
n4:aktivity
P(GAP403/12/1950), S
n4:cisloPeriodika
5
n4:dodaniDat
n13:2014
n4:domaciTvurceVysledku
Gruia, George Cristian n9:6602835
n4:druhVysledku
n20:J
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
60401
n4:idVysledku
RIV/68407700:21220/13:00209293
n4:jazykVysledku
n14:eng
n4:klicovaSlova
bin packing; maximization; resources; scheduling
n4:klicoveSlovo
n6:scheduling n6:bin%20packing n6:resources n6:maximization
n4:kodStatuVydavatele
RO - Rumunsko
n4:kontrolniKodProRIV
[4A341B58E1CF]
n4:nazevZdroje
Challenges of the Knowledge Society
n4:obor
n15:AH
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n10:GAP403%2F12%2F1950
n4:rokUplatneniVysledku
n13:2013
n4:svazekPeriodika
7
n4:tvurceVysledku
Kavan, Michal Gruia, George Cristian
s:issn
2068-7796
s:numberOfPages
10
n3:organizacniJednotka
21220