First Book Dedicated to the Logistics of Chemical Plants and Production Processes

DUBLIN, Ireland--(Business Wire)--
Research and Markets
(http://www.researchandmarkets.com/reports/c83562) has announced the
addition of "Logistic Optimization of Chemical Production Processes"
to their offering.

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. Alongside
the fundamentals, tools and algorithms, and integration issues, the
book features five significant industrial case studies.

Author information

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

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.

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.

Topics Covered

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

COMPANIES MENTIONED:

- Bayer

- Degussa

- Merck

For more information visit
here.

Research and Markets
Laura Wood
Senior Manager
Fax: +353 1 4100 980
press@researchandmarkets.com

Copyright Business Wire 2008