Simulation Optimization In Manufacturing Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F12%3A43916320" target="_blank" >RIV/49777513:23210/12:43916320 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Simulation Optimization In Manufacturing Systems

Original language description

The paper deals with the use of heuristic methods suitable for simulation optimization. These methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy - automatically adapt discrete event simulation models input parameters and four analytic functions. Simulation models reflect real systems of industrial companies. Developed models are focused on logistics and production scheduling problems. Discrete event simulation models were built by Arena simulation software. Developed simulation optimization application is able to search for global optimum of the objective function by seven modified optimization methods.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JR - Other machinery industry

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

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

Article name in the collection

Annals of DAAAM for 2012

ISBN

978-3-901509-91-9

ISSN

2304-1382

e-ISSN

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Number of pages

4

Pages from-to

221-224

Publisher name

DAAAM Intenational Publishing

Place of publication

Vienna

Event location

University of Zadar

Event date

Oct 24, 2012

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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