Optimization for Industrial Problems [Paperback]

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.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.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.

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,l³n