Logistic Optimization of Chemical Production Processes

In the demand–driven operation of chemical, biochemical and pharmaceutical production plants, the efficient use of the available resources is of crucial importance to the economic performance of today′s chemical companies. As the first of its kind, this book addresses the logistic optimization of chemical production processes, both from a practical and an academic point of view. All the chapters discuss real–world applications or case studies derived from authentic industrial problems. This book reviews the main problems in supply–chain optimization, the description of the methods and tools currently used in industry, logistic simulation, campaign planning under uncertainty, up to heuristics–and optimization–based production planning and scheduling, and recently proposed advanced optimization algorithms and their integration in ERP systems.
Throughout, the authors represent industrial users of tools for logistic optimization, developers and vendors of such tools and software systems as well as academic researchers. the result is an up–to–date survey of the field, which can equally be used as a textbook in courses on the operation of chemical plants.

Spis treści:
Preface.
List of Contributors.
Part I: Introduction.
1. Supply Chain and Supply Chain Management (Mario Stobge).
Part II: Simulation.
2. Logistics Simulation in the Chemical Industry (Markus Schulz and Sven Spieckermann).
3. Logistic Simulation of Pipeless Plants (Andreas Liefeldt).
Part III: Industrial Solutions.
4. Planning Large Supply Chain Scenarios with "Quant–based Combinatorial Optimization"  (Christoph Plapp, Dirk Surholt, and Dietmar Syring).
5. Scheduling and Optimization of a Copper Productin Process (Iiro Harjunkoski, Marco Fahl, and Hans Werner borchers).
6. Stochastic Tools in Supply Chain Management (Rudolf Metz).
Part IV: Engineered Mixed–Integer Programming in Chemical Batch Scheduling (Guido Sand).
8. MILP Optimization Models for Short–term Scheduling of Batch Processes (Carlos A. Mendez, Ignacio E. Grossmann, Iiro Harjunkoski, and Marco Fahl).
9. Uncertainty Conscious Scheduling by Two–Stage Stochastic Optimization (Jochen Till, Guido Sand, and Sebastian Engell).
10. Scheduling Based on Reach ability Analysis of Timed Automata (Sebastian Panek, Olaf Stursberg, and Sebastian Engell).
Part V: Interaction with ERP Systems.
11. Integrated Short and Midterm Scheduling of chemical Production Processes – A Case Study (Mathias Goblet, Thomas Kasper, and Christopher Surie).
12. Integration of Scheduling with ERP Systems (Widfried Jaenicke and Robert Seeger).
Index.

Nota biograficzna:
Sebastian Engell received the Dipl.–Ing. degree in Electrical Engineering from the Ruhr–Universität Bochum, Germany, in 1978, and the Dr.–Ing. degree from the Universität Duisburg, Germany in 1981. In 1987 the Universität Duisburg granted him the venia legendi in Automatic Control
Since 1990 he has been Professor of Process Control in the Department of Biochemical and Chemical Engineering, Universität Dortmund, Germany. 1996–1999 he served as the Department Chairman, and from 2002–2005 as Vice–Rector for Research, Promotion of Young Scientists and International Relations of Universität Dortmund. Since 2005, he is a member of the selection committee for the Leibniz–Prize of the Deutsche Forschungsgemeinschaft.
In 2006 Sebastian Engell was appointed Fellow of the International Federation of Automatic Control.
His areas of research are control design, modeling and control of chemical and biochemical processes, hybrid systems, logic control and scheduling in the process industries.


Okładka tylna:
In the demand–driven operation of chemical, biochemical and pharmaceutical production plants, the efficient use of the available resources is of crucial importance to the economic performance of today′s chemical companies. As the first of its kind, this book addresses the logistic optimization of chemical production processes, both from a practical and an academic point of view. All the chapters discuss real–world applications or case studies derived from authentic industrial problems. This book reviews the main problems in supply–chain optimization, the description of the methods and tools currently used in industry, logistic simulation, campaign planning under uncertainty, up to heuristics–and optimization–based production planning and scheduling, and recently proposed advanced optimization algorithms and their integration in ERP systems.
Throughout, the authors represent industrial users of tools for logistic optimization, developers and vendors of such tools and software systems as well as academic researchers. the result is an up–to–date survey of the field, which can equally be used as a textbook in courses on the operation of chemical plants.