Production Factor Mathematics

2010
ISBN: 978-3-642-11247-8
Verlag: Springer

Buch, Englisch, 402 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 748 g

Mathematics as a production factor or driving force for innovation? Those, who want to know and understand why mathematics is deeply involved in the design of products, the layout of production processes and supply chains will find this book an indispensable and rich source.
Describing the interplay between mathematical and engineering sciences the book focusses on questions like
How can mathematics improve to the improvement of technological processes and products?
What is happening already?
Where are the deficits?
What can we expect for the future?
19 articles written by mixed teams of authors of engineering, industry and mathematics offer a fascinating insight of the interaction between mathematics and engineering.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Grötschel, Martin

Lucas, Klaus

Mehrmann, Volker

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Naturwissenschaften, Technik, Medizin
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Processes.- Predictive Planning and Systematic Action—On the Control of Technical Processes.- Data Compression, Process Optimization, Aerodynamics: A Tour Through the Scales.- Active Flow Control—A Mathematical Challenge.- Data Mining for the Category Management in the Retail Market.- Networks.- Planning Problems in Public Transit.- Towards More Intelligence in Logistics with Mathematics.- Optimization of Communication Networks.- Mathematics in Wireless Communications.- Mathematics of Chip Design.- Materials and Mechanics.- Chances and Visions of Advanced Mechanics.- Mathematics for Machine Tools and Factory Automation.- Production and Use of Novel Materials.- Topology and Dynamic Networks: Optimization with Application in Future Technologies.- Energy and Structural Engineering.- Capacity Planning and Scheduling in Electrical Power Systems and in Chemical and Metallurgical Production Plants.- Simulation-Based Optimization in Structural Engineering—New Concepts from Computer Science.- Object-Oriented Modelling for Simulation and Control of Energy Transformation Processes.- Design Tools for Energy Efficient Architecture.- Medicine.- More Mathematics into Medicine!.- Compounds, Drugs and Mathematical Image Processing.