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 practicallevel. 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. Presentation of modern methods to solve real and pressing industrial optimization problems in a practical way together with real-life examples. With examples usually hard to come by or not published at all. Presents new methods ornew results about existing methods to information science. INDICE: 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.
- ISBN: 978-3-642-24973-0
- Editorial: Springer Berlin Heidelberg
- Encuadernacion: Rústica
- Páginas: 247
- Fecha Publicación: 31/01/2012
- Nº Volúmenes: 1
- Idioma: Inglés