Optimization for Industrial Problems

Authors: Bangert, Patrick

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  • 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
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  • ISBN 978-3-642-24974-7
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About this book

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.

About the authors

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

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)

Table of contents (8 chapters)

  • Overview of Heuristic Optimization

    Bangert, Patrick

    Pages 1-11

    Preview Buy Chapter 30,19 €
  • Statistical Analysis in Solution Space

    Bangert, Patrick

    Pages 13-27

    Preview Buy Chapter 30,19 €
  • Project Management

    Bangert, Patrick

    Pages 29-36

    Preview Buy Chapter 30,19 €
  • Pre-processing: Cleaning up Data

    Bangert, Patrick

    Pages 37-66

    Preview Buy Chapter 30,19 €
  • Data Mining: Knowledge from Data

    Bangert, Patrick

    Pages 67-119

    Preview Buy Chapter 30,19 €

Buy this book

eBook 67,82 €
price for Spain (gross)
  • ISBN 978-3-642-24974-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 83,19 €
price for Spain (gross)
  • ISBN 978-3-642-24973-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Optimization for Industrial Problems
Authors
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-24974-7
DOI
10.1007/978-3-642-24974-7
Softcover ISBN
978-3-642-24973-0
Edition Number
1
Number of Pages
XXII, 246
Number of Illustrations
34 b/w illustrations, 30 illustrations in colour
Topics