Optimization for Industrial Problems
Autor Patrick Bangerten Limba Engleză Paperback – 5 ian 2012
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Specificații
ISBN-13: 9783642249730
ISBN-10: 3642249736
Pagini: 268
Ilustrații: XXII, 246 p. 64 illus., 30 illus. in color.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.39 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642249736
Pagini: 268
Ilustrații: XXII, 246 p. 64 illus., 30 illus. in color.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.39 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
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.
Recenzii
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)
“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)
Notă biografică
Dr. Patrick Bangert, algorithmica technologies GmbH, Bremen, Germany
Textul de pe ultima copertă
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.
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.
Caracteristici
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 or new results about existing methods to information science Includes supplementary material: sn.pub/extras