The Resource Optimization for industrial problems, Patrick Bangert, (electronic resource)

Optimization for industrial problems, Patrick Bangert, (electronic resource)

Label
Optimization for industrial problems
Title
Optimization for industrial problems
Statement of responsibility
Patrick Bangert
Creator
Contributor
Provider
Subject
Genre
Language
eng
Summary
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
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Bangert, Patrick
Image bit depth
0
LC call number
QA402.5
LC item number
.B36 2012
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
http://library.link/vocab/subjectName
  • Data Mining
  • Mathematics
  • Industry
  • Knowledge Management
  • Organizational Innovation
  • Mathematical optimization
  • Mathematical optimization
Label
Optimization for industrial problems, Patrick Bangert, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Color
not applicable
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
Dimensions
unknown
Extent
1 online resource (xxii, 246 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642249730
Lccn
2011945031
Level of compression
uncompressed
Other physical details
illustrations, color maps.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)772517879
  • (OCoLC)ocn772517879
Label
Optimization for industrial problems, Patrick Bangert, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Color
not applicable
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
Dimensions
unknown
Extent
1 online resource (xxii, 246 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642249730
Lccn
2011945031
Level of compression
uncompressed
Other physical details
illustrations, color maps.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)772517879
  • (OCoLC)ocn772517879

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