LEADER 01179nam 2200325Ia 450 001 996384908603316 005 20200824132600.0 035 $a(CKB)4940000000075062 035 $a(EEBO)2248548206 035 $a(OCoLC)ocm12109752e 035 $a(OCoLC)12109752 035 $a(EXLCZ)994940000000075062 100 $a19850603d1643 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 13$aAn ordinance of the Lords and Commons assembled in Parliament$b[electronic resource] $efor the preservation and keeping together for publique use, such books, evidenees [sic], records and writings sequestred or taken by distresse or otherwise as are fit to be so preserved 210 $aLondon $cPrinted for Edw. Husbands$d1643 215 $a[2], 6 p 300 $aReproduction of original in Thomason Collection, British Library. 330 $aeebo-0158 607 $aGreat Britain$xHistory$yCivil War, 1642-1649$vSources 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996384908603316 996 $aAn ordinance of the Lords and Commons assembled in Parliament$92298865 997 $aUNISA LEADER 05387nam 2200649 450 001 9910677815003321 005 20230721032338.0 010 $a1-281-94701-6 010 $a9786611947019 010 $a3-527-62277-2 010 $a3-527-62278-0 035 $a(CKB)1000000000555463 035 $a(EBL)481982 035 $a(OCoLC)264714681 035 $a(SSID)ssj0000193935 035 $a(PQKBManifestationID)11189371 035 $a(PQKBTitleCode)TC0000193935 035 $a(PQKBWorkID)10226209 035 $a(PQKB)11485476 035 $a(MiAaPQ)EBC481982 035 $a(EXLCZ)991000000000555463 100 $a20160820h20082008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aLogistic optimization of chemical production processes /$fedited by Sebastian Engell 210 1$aWeinheim, [Germany] :$cWiley-VCH Verlag GmbH & Co. KGaA,$d2008. 210 4$dİ2008 215 $a1 online resource (300 p.) 300 $aDescription based upon print version of record. 311 $a3-527-30830-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aLogistic Optimization of Chemical Production Processes; Contents; Preface; List of Contributors; Part I Introduction; 1 Supply Chain and Supply Chain Management; 1.1 Introduction; 1.2 Terms and Definitions; 1.3 Network Dynamics and Management of the Supply Chain; 1.4 Design Criteria/Integration Concepts; 1.5 SCOR: Modeling the Supply Chain; 1.6 Summary; References; Part II Simulation; 2 Logistics Simulation in the Chemical Industry; 2.1 Introduction; 2.2 Areas of Application for Logistics Simulation in the Process Industry; 2.3 The Simulation Process in Manufacturing and Logistics 327 $a2.4 Case Studies2.5 Benefits and Expenses of Simulation Projects; 2.6 How a Simulator Works; 2.7 Developments in the Field of Logistics Simulation; References; 3 Logistic Simulation of Pipeless Plants; 3.1 Pipeless Batch Plants; 3.2 PPSiM-Pipeless Plant Simulation; 3.3 Industrial Case Study; 3.4 Conclusions; References; Part III Industrial Solutions; 4 Planning Large Supply Chain Scenarios with "Quant-based Combinatorial Optimization"; 4.1 Introduction; 4.2 The Limits of Traditional LP; 4.3 Quant-based Combinatorial Optimization; 4.4 Typical Planning Scenarios in the Process Industry 327 $a4.5 Constraints4.6 Additional Modeling Elements of the Quant-based Combinatorial Optimization; 4.7 The Solution Approach; 4.8 Special Requirements and Advanced Modeling Features for the Chemical Industry; 4.9 Summary; References; 5 Scheduling and Optimization of a Copper Production Process; 5.1 Introduction; 5.2 Copper Production Process; 5.3 Scheduling Problem; 5.4 Solution Approach; 5.5 Results; 5.6 Conclusions; References; 6 Stochastic Tools in Supply Chain Management; 6.1 Introduction; 6.2 Random Demand; 6.3 Random Service (and Shortage); 6.4 Optimization of Service 327 $a6.5 Solution Technique6.6 Implementation in BayAPS PP; References; Part IV Optimization Methods; 7 Engineered Mixed-Integer Programming in Chemical Batch Scheduling; 7.1 Introduction; 7.2 The Case Study; 7.3 An Engineered Approach to Optimal Scheduling; 7.4 Nonlinear Short-Term Scheduling Model; 7.5 Linearized Short-Term Model; 7.6 Comparative Numerical Studies; 7.7 Conclusions; References; 8 MILP Optimization Models for Short-term Scheduling of Batch Processes; 8.1 Introduction; 8.2 Classification of Batch Scheduling Problems; 8.3 Classification of Optimization Models for Batch Scheduling 327 $a8.4 Review of Scheduling Models8.5 Computational Comparison Discrete vs Continuous Approaches; 8.6 Concluding Remarks and Future Directions; 8.7 Acknowledgements; References; 9 Uncertainty Conscious Scheduling by Two-Stage Stochastic Optimization; 9.1 Introduction; 9.2 Scheduling under Uncertainty using a Moving Horizon Approach with Two-Stage Stochastic Optimization; 9.3 Two-Stage Stochastic Integer Programming; 9.4 A Stage Decomposition Based Evolutionary Algorithm; 9.5 Numerical Studies; 9.6 Conclusions; References; 10 Scheduling Based on Reachability Analysis of Timed Automata 327 $a10.1 Introduction 330 $aIn this first book dedicated to the logistics of chemical plants and production processes, authors from academia and industry -- such as Bayer, Degussa, Merck -- provide an overview of the field, incorporating the knowledge and experience gathered over the last 10 years. In so doing, they describe the latest ideas on efficient design, illustrating when to produce which part of the equipment and with which resources, so as to optimize chemical plants for high capacity and flexibility. This book gives an overview of the state-of-the-art of the whole logistic chain of chemical production 606 $aChemical industry$xManagement 606 $aProduction management 606 $aBusiness logistics 615 0$aChemical industry$xManagement. 615 0$aProduction management. 615 0$aBusiness logistics. 676 $a660.068/5 676 $a660.0685 702 $aEngell$b S$g(Sebastian), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910677815003321 996 $aLogistic optimization of chemical production processes$93071188 997 $aUNINA