LEADER 03614nam 2200673Ia 450 001 9910450714903321 005 20200520144314.0 010 $a1-281-37289-7 010 $a9786611372897 010 $a981-270-324-1 035 $a(CKB)1000000000334241 035 $a(EBL)296183 035 $a(OCoLC)476063963 035 $a(SSID)ssj0000209510 035 $a(PQKBManifestationID)12045025 035 $a(PQKBTitleCode)TC0000209510 035 $a(PQKBWorkID)10266013 035 $a(PQKB)11083940 035 $a(MiAaPQ)EBC296183 035 $a(WSP)00000803 035 $a(Au-PeEL)EBL296183 035 $a(CaPaEBR)ebr10174115 035 $a(CaONFJC)MIL137289 035 $a(EXLCZ)991000000000334241 100 $a20070413d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNetworks of interacting machines$b[electronic resource] $eproduction organization in complex industrial systems and biological cells /$feditors, Dieter Armbruster, Kunihiko Kaneko, Alexander S. Mikhailov 210 $aHackensack, NJ $cWorld Scientific$dc2005 215 $a1 online resource (280 p.) 225 1 $aWorld Scientific lecture notes in complex systems ;$vv. 3 300 $aDescription based upon print version of record. 311 $a981-256-498-5 320 $aIncludes bibliographical references. 327 $aPreface; 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 327 $a7 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 330 $aThis review volume is devoted to a discussion of analogies and differences of complex production systems - natural, as in biological cells, or man-made, as in economic systems or industrial production. Taking this unified look at production is based on two observations: Cells and many biological networks are complex production units that have evolved to solve production problems in a reliable and optimal way in a highly stochastic environment. On the other hand, industrial production is becoming increasingly complex and often hard to predict. As a result, modeling and control of such productio 410 0$aWorld Scientific lecture notes in complex systems ;$vv. 3. 606 $aProduction management 606 $aProduction (Economic theory) 606 $aCell interaction 608 $aElectronic books. 615 0$aProduction management. 615 0$aProduction (Economic theory) 615 0$aCell interaction. 676 $a658.5 700 $aArmbruster$b Dieter$058523 701 $aKaneko$b Kunihiko$022992 701 $aMikhailov$b A. S$g(Alexander S.),$f1950-$0622611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910450714903321 996 $aNetworks of interacting machines$92208427 997 $aUNINA