Patrick Bangert: Optimization for Industrial Problems, Kartoniert / Broschiert

Kurzbeschreibung

This book covers optimization: the determination of the values of the independent variables in a function such that the dependent variable attains a maximum over a suitably defined area of validity. Case studies include power generation, retail and chemistry.

Beschreibung

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. Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields as a conversation between the theory of mathematics and computer science and case studies demonstrating engineering and management. Most of all, the case studies illustrate what may reasonably be expected from an optimization project in a commercial enterprise. While many other books treat some of the aspects of this book, it is practical and may be used as a manual for conducting an optimization project. This book will not make its reader into a mathematician but it will help him to improve his plant.
The book requires no mathematical or technical background beyond a good high school training; all else is addressed within. It is aimed at managers or engineers of industrial facilities and is also suitable for university students and their professors as an illustration of how academic material may be used in real life.
The book includes 19 case studies that were conducted in real plants. They include chemical plants, fossil power plants, wind power plants, nuclear power plants, oil refineries, oil production plants, injection molding fascilities and retail industry shops. All case studies were conducted by the author in cooperation and co-authorship with some of the leading industrial enterprises including RWE, Vattenfall, EDF, PetroChina, Vestolit, Sasol, and Hella.

Inhaltsangabe

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.

Rezension

From the reviews:
This book focusses on optimal control of industrial systems that reflect real-life problems with a practical flavor . it is aimed at managers, professionals, practitioners or engineers of industrial facilities. It also gives a good window to real-world industrial systems for those working in academic institutions. This reviewer enjoyed reading the book and it is an excellent addition to the field . (D. Subbaram Naidu, Amazon. com, April, 2014)
In Optimization for Industrial Problems, Patrick Bangert describes the tools and techniques he and his coauthors have used to address difficult industrial challenges. The book has an impressive set of 19 case studies that successfully demonstrate the role of advanced analytics in optimization. Managers of heavy industrial equipment, who have a reasonable understanding of statistics, could also use this book to identify opportunities for using advanced data analysis and statistical models to improve plant performance. (Kenneth Chelst, Interfaces, Vol. 43 (5), September-October, 2013)

Klappentext

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.