Overview
- 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
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Table of contents (8 chapters)
Keywords
About this book
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)Authors and Affiliations
About the author
Bibliographic Information
Book Title: Optimization for Industrial Problems
Authors: Patrick Bangert
DOI: https://doi.org/10.1007/978-3-642-24974-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-24973-0Published: 05 January 2012
eBook ISBN: 978-3-642-24974-7Published: 05 January 2012
Edition Number: 1
Number of Pages: XXII, 246
Number of Illustrations: 34 b/w illustrations, 30 illustrations in colour
Topics: Optimization, Operations Research, Management Science