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Record Nr. |
UNINA9910450714903321 |
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Autore |
Armbruster Dieter |
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Titolo |
Networks of interacting machines [[electronic resource] ] : production organization in complex industrial systems and biological cells / / editors, Dieter Armbruster, Kunihiko Kaneko, Alexander S. Mikhailov |
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Pubbl/distr/stampa |
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Hackensack, NJ, : World Scientific, c2005 |
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ISBN |
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1-281-37289-7 |
9786611372897 |
981-270-324-1 |
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Descrizione fisica |
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1 online resource (280 p.) |
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Collana |
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World Scientific lecture notes in complex systems ; ; v. 3 |
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Altri autori (Persone) |
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KanekoKunihiko |
MikhailovA. S <1950-> (Alexander S.) |
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Disciplina |
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Soggetti |
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Production management |
Production (Economic theory) |
Cell interaction |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Preface; CONTENTS; 1 Continuum Models for Interacting Machines Dieter Armbruster, Pierre Degond, Christian Ringhofer; 2 Supply and Production Networks: From the Bullwhip Effect to Business Cycles Dirk Helbing, Stefan Lammer; 3 Managing Supply-Demand Networks in Semiconductor Manufacturing Karl Kempf; 4 Modelling Manufacturing Systems for Control: A Validation Study Erjen Lefeber, Roel van den Berg, J.E. Rooda; 5 Adaptive Networks of Production Processes Adam Ponzi; 6 Universal Statistics of Cells with Recursive Production Kunihiko Kanelco, Chikara Furusaura |
7 Intracellular Networks of Interacting Molecular Machines Alexander S . Mikhailov8 Cell is Noisy Tatsuo Shibata; 9 An Intelligent Slime Mold: A Self-organizing System of Cell Shape and Information Tetsuo Ueda; 10 Communication and Structure within Networks Kim Sneppen, Martin Rosvall, Ala Trusina |
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Sommario/riassunto |
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This review volume is devoted to a discussion of analogies and differences of complex production systems - natural, as in biological |
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cells, or man-made, as in economic systems or industrial production. Taking this unified look at production is based on two observations: Cells and many biological networks are complex production units that have evolved to solve production problems in a reliable and optimal way in a highly stochastic environment. On the other hand, industrial production is becoming increasingly complex and often hard to predict. As a result, modeling and control of such productio |
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