Settings, experimentation and evaluation of the simulation models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F13%3A%230005955" target="_blank" >RIV/46747885:24210/13:#0005955 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.309.366" target="_blank" >http://dx.doi.org/10.4028/www.scientific.net/AMM.309.366</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.309.366" target="_blank" >10.4028/www.scientific.net/AMM.309.366</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Settings, experimentation and evaluation of the simulation models

Popis výsledku v původním jazyce

This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtainthe result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria func

Název v anglickém jazyce

Settings, experimentation and evaluation of the simulation models

Popis výsledku anglicky

This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtainthe result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria func

Druh

D - Stať ve sborníku

CEP obor

JR - Ostatní strojírenství

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Applied Mechanics and Materials

ISBN

978-3-03785-636-9

ISSN

1660-9336

e-ISSN

—

Počet stran výsledku

6

Strana od-do

366-371

Název nakladatele

TRANS TECH PUBLICATIONS LTD, LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND

Místo vydání

SWITZERLAND

Místo konání akce

Trnava

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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