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Statements

Subject Item
n2:RIV%2F46747885%3A24210%2F13%3A%230005954%21RIV14-MSM-24210___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
This article deals with the procedure during designing the multi-criteria function. The multi-criteria function optimizes the number of workers in an e-maintenance. The basis for defining the multi-criteria function is to gain multi-dimensional assessment knowledge of procedures, and to integrate the procedures into e-maintenance systems. These systems also include an e-maintenance system for staffing optimization. Staffing optimization is necessary as there is direct indirection between service staff members and the customers. This sort of system is intended primarily for service organizations. Service organizations on a larger scale involve more than just machinery and equipment-they involve the manufacturer and the supplier. The key is to design a multi-criterion optimization function for staff members who use special tools or specialists in their field. The ultimate goal is to limit losses and ensure costs are kept to a minimum, or even transfer onto the customer. The verification of the proposed multi-criteria function as a suitable tool for computer simulation in the manufacturing process is done in the simulation program named Witness. The simulation software is linked to MS Excel. This article deals with the procedure during designing the multi-criteria function. The multi-criteria function optimizes the number of workers in an e-maintenance. The basis for defining the multi-criteria function is to gain multi-dimensional assessment knowledge of procedures, and to integrate the procedures into e-maintenance systems. These systems also include an e-maintenance system for staffing optimization. Staffing optimization is necessary as there is direct indirection between service staff members and the customers. This sort of system is intended primarily for service organizations. Service organizations on a larger scale involve more than just machinery and equipment-they involve the manufacturer and the supplier. The key is to design a multi-criterion optimization function for staff members who use special tools or specialists in their field. The ultimate goal is to limit losses and ensure costs are kept to a minimum, or even transfer onto the customer. The verification of the proposed multi-criteria function as a suitable tool for computer simulation in the manufacturing process is done in the simulation program named Witness. The simulation software is linked to MS Excel.
dcterms:title
Multi-criteria function for optimizing the number of workers in an e-maintenance Multi-criteria function for optimizing the number of workers in an e-maintenance
skos:prefLabel
Multi-criteria function for optimizing the number of workers in an e-maintenance Multi-criteria function for optimizing the number of workers in an e-maintenance
skos:notation
RIV/46747885:24210/13:#0005954!RIV14-MSM-24210___
n10:predkladatel
n11:orjk%3A24210
n3:aktivita
n22:S
n3:aktivity
S
n3:dodaniDat
n5:2014
n3:domaciTvurceVysledku
n12:7095759 n12:1418084 n12:3756858
n3:druhVysledku
n6:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
90014
n3:idVysledku
RIV/46747885:24210/13:#0005954
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Computer simulation; Multi-criteria function; E-maintenance
n3:klicoveSlovo
n16:E-maintenance n16:Computer%20simulation n16:Multi-criteria%20function
n3:kontrolniKodProRIV
[23DDF3E6FFF4]
n3:mistoKonaniAkce
Trnava
n3:mistoVydani
SWITZERLAND
n3:nazevZdroje
Applied Mechanics and Materials
n3:obor
n21:JR
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n5:2013
n3:tvurceVysledku
Havlík, Radek Manlig, František Gottwaldová, Alena
n3:typAkce
n20:EUR
n3:zahajeniAkce
2013-01-01+01:00
s:issn
1660-9336
s:numberOfPages
8
n15:doi
10.4028/www.scientific.net/AMM.309.252
n17:hasPublisher
TRANS TECH PUBLICATIONS LTD, LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
n8:isbn
978-3-03785-636-9
n13:organizacniJednotka
24210