LEADER 05294nam 2200613 a 450 001 9910877743003321 005 20200520144314.0 010 $a1-280-52110-4 010 $a9786610521104 010 $a3-527-60648-3 010 $a3-527-60258-5 035 $a(CKB)1000000000019415 035 $a(EBL)481725 035 $a(OCoLC)69245332 035 $a(SSID)ssj0000211900 035 $a(PQKBManifestationID)11186731 035 $a(PQKBTitleCode)TC0000211900 035 $a(PQKBWorkID)10135600 035 $a(PQKB)11100817 035 $a(MiAaPQ)EBC481725 035 $a(EXLCZ)991000000000019415 100 $a20040610d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aNonlinear dynamics of production systems /$fG. Radons, R. Neugebauer, (eds.) 210 $aWeinheim ;$aCambridge $cWiley-VCH$d2004 215 $a1 online resource (639 p.) 300 $aDescription based upon print version of record. 311 $a3-527-40430-9 320 $aIncludes bibliographical references and index. 327 $aNonlinear Dynamics of Production Systems; Foreword; Preface; List of Contributors; Contents; Part I Dynamics and Control of Production Processes; 1 Dynamical Systems and Production Systems; 1.1 Introduction; 1.2 The Bucket Brigade Production System; 1.2.1 Re-ordering; 1.2.2 Non-constant Speeds; 1.2.3 Bucket Brigades and Learning; 1.3 Fluid Models of Production Networks; 1.4 Dynamics of Supply Chains; 1.4.1 Simulation and Control; Bibliography; 2 Method of Stabilization of a Target Regime in Manufacturing and Logistics; 2.1 Introduction; 2.1.1 Stabilization of a Target Regime (STR Method) 327 $a2.1.2 Constraints-based Hierarchy of Models2.1.3 The Algorithm of the Optimal Management of the Systems in Work-sharing Manufacturing; 2.2 The Hierarchy of Models; 2.3 Dynamics of the Models in the Hierarchy; 2.4 Algorithm of Stabilization of the Target Regime for OWS Models; 2.5 Concluding Remarks; Bibliography; 3 Manufacturing Systems with Restricted Buffer Sizes; 3.1 Introduction; 3.2 Hybrid Models; 3.2.1 Switched Arrival and Server Systems; 3.2.2 Limiting Cases; 3.2.3 Dynamics and Bifurcations; 3.2.4 Modified Switching Rules; 3.2.5 Manufacturing Systems with Setup Times 327 $a3.3 Performance of Manufacturing Systems3.3.1 Evaluation of Cost Functions; 3.3.2 Optimization and Chaos Control; 3.4 Switched Discrete Deterministic Systems; 3.4.1 Dynamics; 3.4.2 Small Stochastic Disturbances; 3.5 Conclusion; Bibliography; 4 Modeling and Analysis of a Re-entrant Manufacturing System; 4.1 Introduction; 4.1.1 Re-entrant Manufacturing Systems and Models; 4.1.2 Control Policies and Their Analysis; 4.2 "Two Products - Two Stages" Re-entrant Manufacturing System; 4.3 Dynamical Model; 4.4 Analysis of Dynamics; 4.4.1 Sensitivity to Initial Conditions 327 $a4.4.2 Ergodicity and Stationarity4.4.3 Correlations; 4.5 Dynamical Concept for Manufacturing Control; 4.6 Simulation Model; 4.7 Analysis of Scheduling Policies; 4.8 Conclusion and Outlook; Bibliography; 5 Nonlinear Models for Control of Manufacturing Systems; 5.1 Introduction; 5.2 Extensions to the Standard Fluid Model; 5.2.1 A Common Fluid Model; 5.2.2 An Extension; 5.2.3 An Approximation to the Extended Fluid Model; 5.2.4 A Hybrid Model; 5.3 A New Flow Model; 5.3.1 Introduction to Traffic Flow Theory: the LWR Model; 5.3.2 A Traffic Flow Model for Manufacturing Flow 327 $a5.4 The Manufacturing Flow Model Revisited5.5 Concluding Remarks; Bibliography; 6 Modeling and Optimization of Production Processes: Lessons from Traffic Dynamics; 6.1 Modeling the Dynamics of Supply Networks; 6.1.1 Modeling One-dimensional Supply Chains; 6.1.2 "Bull-whip Effect" and Stop-and-Go Traffic; 6.1.3 Dynamical Solution and Resonance Effects; 6.1.4 Discussion of Some Control Strategies; 6.1.5 Production Units in Terms of Queueing Theoretical Quantities; 6.1.6 Calculation of the Cycle Times; 6.1.7 Feeding Rates, Production Speeds and Inventories 327 $a6.1.8 Impact of the Supply Network's Topology 330 $aThis reference work provides a comprehensive insight into past developments in the application of non-linear dynamics, such as production systems in the manufacturing and process engineering, mechanical engineering and plant construction and automation technology. As such, it is the first publication to document the successful implementation of non-linear dynamics into current tasks or problems of engineering thus far unsolved. The interdisciplinary team of contributors from research and industry establishes ties between mechanical methods of manufacturing and new methods reaching the dynamics 606 $aManufacturing processes$xMathematical models 606 $aProduction engineering$xMathematical models 615 0$aManufacturing processes$xMathematical models. 615 0$aProduction engineering$xMathematical models. 676 $a670/.1/5118 701 $aRadons$b G$g(Gunter)$01754042 701 $aNeugebauer$b R$g(Reimund)$01759711 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910877743003321 996 $aNonlinear dynamics of production systems$94201939 997 $aUNINA