Details

Logistic Optimization of Chemical Production Processes


Logistic Optimization of Chemical Production Processes


1. Aufl.

von: Sebastian Engell

277,99 €

Verlag: Wiley-VCH
Format: PDF
Veröffentl.: 08.09.2008
ISBN/EAN: 9783527622788
Sprache: englisch
Anzahl Seiten: 298

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Beschreibungen

In 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. <br> <br> This book gives an overview of the state-of-the-art of the whole logistic chain of chemical production processes.<br> <br> Alongside the fundamentals, tools and algorithms, and integration issues, the book features five significant industrial case studies.
INTRODUCTION<br> Supply Chains and Supply Chain Management<br> SIMULATION<br> Logistic Simulation in the Chemical Industry<br> Logistic Simulation of Pipeless Plants<br> INDUSTRIAL SOLUTIONS<br> Planning Large Supply Chain Scenarios with "Quant-based Combinatorial Optimization"<br> Scheduling and Optimization of a Copper Production Process<br> Stochastic Tools in Supply Management <br> OPTIMIZATION METHODS<br> Engineered Mixed-Integer Programming in Chemical Batch Scheduling<br> MILP Optimization Models for Short-term Scheduling of Batch Processes<br> Uncertainty Conscious Scheduling by Two-Stage Stochastic Optimization<br> Scheduling Based on Reachability Ananlysis of Timed Automata<br> INTEGRATION WITH ERP SYSTEMS<br> Integrated Short and Mid-term Scheduling of Chemical Processes -- A Case Study<br> Integration of Scheduling with ERP-Systems
Sebastian Engell received the Dipl.-Ing. degree in Electrical Engineering from the Ruhr-Universitat Bochum, Germany, in 1978, and the Dr.-Ing. degree from the Universitat Duisburg, Germany in 1981. In 1987 the Universitat Duisburg granted him the venia legendi in Automatic Control <br> <br> Since 1990 he has been Professor of Process Control in the Department of Biochemical and Chemical Engineering, Universitat 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 Universitat Dortmund. Since 2005, he is a member of the selection committee for the Leibniz-Prize of the Deutsche Forschungsgemeinschaft.<br> <br> In 2006 Sebastian Engell was appointed Fellow of the International Federation of Automatic Control.<br> <br> 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. <br> <br>
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. <p>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.</p>

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