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Hybrid simulation models of production networks
This book is concerned with a most important area of industrial production, that of analysis and optimization of production lines and networks using discrete-event models and simulation. The book introduces a novel approach that combines analytic models and discrete-event simulation. Unlike conventi...
Autores principales: | , |
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Lenguaje: | eng |
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Springer
2001
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4757-5438-4 http://cds.cern.ch/record/1667043 |
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author | Kouikoglou, Vassilis S Phillis, Yannis A |
author_facet | Kouikoglou, Vassilis S Phillis, Yannis A |
author_sort | Kouikoglou, Vassilis S |
collection | CERN |
description | This book is concerned with a most important area of industrial production, that of analysis and optimization of production lines and networks using discrete-event models and simulation. The book introduces a novel approach that combines analytic models and discrete-event simulation. Unlike conventional piece-by-piece simulation, this method observes a reduced number of events between which the evolution of the system is tracked analytically. Using this hybrid approach, several models are developed for the analysis of production lines and networks. The hybrid approach combines speed and accuracy for exceptional analysis of most practical situations. A number of optimization problems, involving buffer design, workforce planning, and production control, are solved through the use of hybrid models. |
id | cern-1667043 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2001 |
publisher | Springer |
record_format | invenio |
spelling | cern-16670432021-04-21T21:15:39Zdoi:10.1007/978-1-4757-5438-4http://cds.cern.ch/record/1667043engKouikoglou, Vassilis SPhillis, Yannis AHybrid simulation models of production networksMathematical Physics and MathematicsThis book is concerned with a most important area of industrial production, that of analysis and optimization of production lines and networks using discrete-event models and simulation. The book introduces a novel approach that combines analytic models and discrete-event simulation. Unlike conventional piece-by-piece simulation, this method observes a reduced number of events between which the evolution of the system is tracked analytically. Using this hybrid approach, several models are developed for the analysis of production lines and networks. The hybrid approach combines speed and accuracy for exceptional analysis of most practical situations. A number of optimization problems, involving buffer design, workforce planning, and production control, are solved through the use of hybrid models.Springeroai:cds.cern.ch:16670432001 |
spellingShingle | Mathematical Physics and Mathematics Kouikoglou, Vassilis S Phillis, Yannis A Hybrid simulation models of production networks |
title | Hybrid simulation models of production networks |
title_full | Hybrid simulation models of production networks |
title_fullStr | Hybrid simulation models of production networks |
title_full_unstemmed | Hybrid simulation models of production networks |
title_short | Hybrid simulation models of production networks |
title_sort | hybrid simulation models of production networks |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-1-4757-5438-4 http://cds.cern.ch/record/1667043 |
work_keys_str_mv | AT kouikoglouvassiliss hybridsimulationmodelsofproductionnetworks AT phillisyannisa hybridsimulationmodelsofproductionnetworks |