Bangert Optimization for Industrial Problems

1. Auflage 2012
ISBN: 978-3-642-24974-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 246 Seiten, Web PDF

Reihe: Mathematics and Statistics (R0)

Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields in interdependence as a conversation between theoretical aspects of mathematics and computer science and the mathematical field of optimization theory at a practical level. The 19 case studies that were conducted by the author in real enterprises in cooperation and co-authorship with some of the leading industrial enterprises, including RWE, Vattenfall, EDF, PetroChina, Vestolit, Sasol, and Hella, illustrate the results that may be reasonably expected from an optimization project in a commercial enterprise. The book is aimed at persons working in industrial facilities as managers or engineers; it is also suitable for university students and their professors as an illustration of how the academic material may be used in real life. It will not make its reader a mathematician but it will help its reader in improving his plant.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Bangert, Patrick

Inhaltsverzeichnis

Overview of Heuristic Optimization.- Statistical Analysis in Solution Space.- Project Management.- Pre-processing: Cleaning up Data.- Data Mining: Knowledge from Data.- Modeling: Neural Networks.- Optimization: Simulated Annealing.- The Human Aspect in Sustainable Change and Innovation.

Über Autor(innen)

Dr. Patrick Bangert, algorithmica technologies GmbH, Bremen, Germany