Hybrid Simulation Models of Production Networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2001
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications |
| Beschreibung: | 1 Online-Ressource (XII, 196 p) |
| ISBN: | 9781475754384 9781441933638 |
| DOI: | 10.1007/978-1-4757-5438-4 |
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| 500 | |a Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications | ||
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Datensatz im Suchindex
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| discipline | Informatik Mathematik |
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| id | DE-604.BV042421659 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:09Z |
| institution | BVB |
| isbn | 9781475754384 9781441933638 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027857076 |
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| physical | 1 Online-Ressource (XII, 196 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2001 |
| publishDateSearch | 2001 |
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| publisher | Springer US |
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| spelling | Kouikoglou, Vassilis S. Verfasser aut Hybrid Simulation Models of Production Networks by Vassilis S. Kouikoglou, Yannis A. Phillis Boston, MA Springer US 2001 1 Online-Ressource (XII, 196 p) txt rdacontent c rdamedia cr rdacarrier Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications Mathematics Systems theory Mathematical optimization Mechanical engineering Mathematical Modeling and Industrial Mathematics Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Production/Logistics/Supply Chain Management Mechanical Engineering Mathematik Phillis, Yannis A. Sonstige oth https://doi.org/10.1007/978-1-4757-5438-4 Verlag Volltext |
| spellingShingle | Kouikoglou, Vassilis S. Hybrid Simulation Models of Production Networks Mathematics Systems theory Mathematical optimization Mechanical engineering Mathematical Modeling and Industrial Mathematics Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Production/Logistics/Supply Chain Management Mechanical Engineering Mathematik |
| title | Hybrid Simulation Models of Production Networks |
| title_auth | Hybrid Simulation Models of Production Networks |
| title_exact_search | Hybrid Simulation Models of Production Networks |
| title_full | Hybrid Simulation Models of Production Networks by Vassilis S. Kouikoglou, Yannis A. Phillis |
| title_fullStr | Hybrid Simulation Models of Production Networks by Vassilis S. Kouikoglou, Yannis A. Phillis |
| title_full_unstemmed | Hybrid Simulation Models of Production Networks by Vassilis S. Kouikoglou, Yannis A. Phillis |
| title_short | Hybrid Simulation Models of Production Networks |
| title_sort | hybrid simulation models of production networks |
| topic | Mathematics Systems theory Mathematical optimization Mechanical engineering Mathematical Modeling and Industrial Mathematics Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Production/Logistics/Supply Chain Management Mechanical Engineering Mathematik |
| topic_facet | Mathematics Systems theory Mathematical optimization Mechanical engineering Mathematical Modeling and Industrial Mathematics Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Production/Logistics/Supply Chain Management Mechanical Engineering Mathematik |
| url | https://doi.org/10.1007/978-1-4757-5438-4 |
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