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Statements

Subject Item
n2:RIV%2F47813059%3A19520%2F13%3A%230002200%21RIV14-MSM-19520___
rdf:type
skos:Concept n6:Vysledek
dcterms:description
In the presented article, we describe a general procedure to solve the problem of how many employees there should be in a workplace so that the time to get the necessary work done didn't exceed a desired level, or more precisely, that the probability of the work lasting too long was considerably low. We outline our procedure on the assumption that historical data of process cycle times for different amounts of work and a given daily number of employees are available. Further, we assume the times always follow a Gamma distribution, and the employees are equally productive. To derive the procedure, unconditional and conditional expected values and variances are used to estimate parameters of various Gamma distributions, relating behaviour of process cycle times to different daily numbers of employees. In the presented article, we describe a general procedure to solve the problem of how many employees there should be in a workplace so that the time to get the necessary work done didn't exceed a desired level, or more precisely, that the probability of the work lasting too long was considerably low. We outline our procedure on the assumption that historical data of process cycle times for different amounts of work and a given daily number of employees are available. Further, we assume the times always follow a Gamma distribution, and the employees are equally productive. To derive the procedure, unconditional and conditional expected values and variances are used to estimate parameters of various Gamma distributions, relating behaviour of process cycle times to different daily numbers of employees.
dcterms:title
Stochastic Control of Process Times based on Working Performance Stochastic Control of Process Times based on Working Performance
skos:prefLabel
Stochastic Control of Process Times based on Working Performance Stochastic Control of Process Times based on Working Performance
skos:notation
RIV/47813059:19520/13:#0002200!RIV14-MSM-19520___
n6:predkladatel
n7:orjk%3A19520
n3:aktivita
n4:I
n3:aktivity
I
n3:dodaniDat
n14:2014
n3:domaciTvurceVysledku
n15:8774021
n3:druhVysledku
n21:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
108021
n3:idVysledku
RIV/47813059:19520/13:#0002200
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Model; work shift; expected value; variance; number of workers
n3:klicoveSlovo
n9:number%20of%20workers n9:expected%20value n9:Model n9:work%20shift n9:variance
n3:kontrolniKodProRIV
[83A180368E6B]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Sborník 22.ročníku mezinárodní konference metalurgie a materiálů Metal 2013
n3:obor
n5:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n14:2013
n3:tvurceVysledku
TOŠENOVSKÝ, Filip
n3:typAkce
n13:CST
n3:zahajeniAkce
2013-01-01+01:00
s:numberOfPages
4
n19:hasPublisher
TANGER spol. s r.o.
n18:isbn
978-80-87294-39-0
n8:organizacniJednotka
19520