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Logistic optimization of chemical production processes / / edited by Sebastian Engell
| Logistic optimization of chemical production processes / / edited by Sebastian Engell |
| Pubbl/distr/stampa | Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2008 |
| Descrizione fisica | 1 online resource (300 p.) |
| Disciplina |
660.068/5
660.0685 |
| Soggetto topico |
Chemical industry - Management
Production management Business logistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-94701-6
9786611947019 3-527-62277-2 3-527-62278-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Logistic 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
2.4 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 4.5 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 6.5 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 8.4 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 10.1 Introduction |
| Record Nr. | UNINA-9910144119303321 |
| Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Logistic optimization of chemical production processes / / edited by Sebastian Engell
| Logistic optimization of chemical production processes / / edited by Sebastian Engell |
| Pubbl/distr/stampa | Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2008 |
| Descrizione fisica | 1 online resource (300 p.) |
| Disciplina |
660.068/5
660.0685 |
| Soggetto topico |
Chemical industry - Management
Production management Business logistics |
| ISBN |
1-281-94701-6
9786611947019 3-527-62277-2 3-527-62278-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Logistic 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
2.4 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 4.5 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 6.5 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 8.4 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 10.1 Introduction |
| Record Nr. | UNINA-9910677815003321 |
| Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Resource efficiency of processing plants : monitoring and improvement / / edited by Stefan Kramer, Sebastian Engell
| Resource efficiency of processing plants : monitoring and improvement / / edited by Stefan Kramer, Sebastian Engell |
| Pubbl/distr/stampa | Weinheim, Germany : , : Wiley-VCH, , 2018 |
| Descrizione fisica | 1 online resource (531 pages) : illustrations |
| Disciplina | 660.280028 |
| Soggetto topico |
Chemical industry - Energy conservation
Plant performance - Monitoring Chemical plants |
| ISBN |
3-527-80416-1
3-527-80414-5 3-527-80415-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910270914603321 |
| Weinheim, Germany : , : Wiley-VCH, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Resource efficiency of processing plants : monitoring and improvement / / edited by Stefan Kramer, Sebastian Engell
| Resource efficiency of processing plants : monitoring and improvement / / edited by Stefan Kramer, Sebastian Engell |
| Pubbl/distr/stampa | Weinheim, Germany : , : Wiley-VCH, , 2018 |
| Descrizione fisica | 1 online resource (531 pages) : illustrations |
| Disciplina | 660.280028 |
| Soggetto topico |
Chemical industry - Energy conservation
Plant performance - Monitoring Chemical plants |
| ISBN |
3-527-80416-1
3-527-80414-5 3-527-80415-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910821707703321 |
| Weinheim, Germany : , : Wiley-VCH, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||