Optimization for Industrial Problems

Author:   Patrick Bangert
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012 ed.
ISBN:  

9783642249730


Pages:   246
Publication Date:   05 January 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimization for Industrial Problems


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Overview

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.

Full Product Details

Author:   Patrick Bangert
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012 ed.
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.415kg
ISBN:  

9783642249730


ISBN 10:   3642249736
Pages:   246
Publication Date:   05 January 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

Reviews

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)


From the reviews: 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)


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)


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)


Author Information

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

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