Logistic Optimization of Chemical ProductionProcesses
Rights Contact Login For More Details
More About This Title Logistic Optimization of Chemical ProductionProcesses
English
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.
This book gives an overview of the state-of-the-art of the whole logistic chain of chemical production processes.
Alongside the fundamentals, tools and algorithms, and integration issues, the book features five significant industrial case studies.
This book gives an overview of the state-of-the-art of the whole logistic chain of chemical production processes.
Alongside the fundamentals, tools and algorithms, and integration issues, the book features five significant industrial case studies.
English
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.
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.
English
INTRODUCTION
Supply Chains and Supply Chain Management
SIMULATION
Logistic Simulation in the Chemical Industry
Logistic Simulation of Pipeless Plants
INDUSTRIAL SOLUTIONS
Planning Large Supply Chain Scenarios with "Quant-based Combinatorial Optimization"
Scheduling and Optimization of a Copper Production Process
Stochastic Tools in Supply Management
OPTIMIZATION METHODS
Engineered Mixed-Integer Programming in Chemical Batch Scheduling
MILP Optimization Models for Short-term Scheduling of Batch Processes
Uncertainty Conscious Scheduling by Two-Stage Stochastic Optimization
Scheduling Based on Reachability Ananlysis of Timed Automata
INTEGRATION WITH ERP SYSTEMS
Integrated Short and Mid-term Scheduling of Chemical Processes -- A Case Study
Integration of Scheduling with ERP-Systems
Supply Chains and Supply Chain Management
SIMULATION
Logistic Simulation in the Chemical Industry
Logistic Simulation of Pipeless Plants
INDUSTRIAL SOLUTIONS
Planning Large Supply Chain Scenarios with "Quant-based Combinatorial Optimization"
Scheduling and Optimization of a Copper Production Process
Stochastic Tools in Supply Management
OPTIMIZATION METHODS
Engineered Mixed-Integer Programming in Chemical Batch Scheduling
MILP Optimization Models for Short-term Scheduling of Batch Processes
Uncertainty Conscious Scheduling by Two-Stage Stochastic Optimization
Scheduling Based on Reachability Ananlysis of Timed Automata
INTEGRATION WITH ERP SYSTEMS
Integrated Short and Mid-term Scheduling of Chemical Processes -- A Case Study
Integration of Scheduling with ERP-Systems
