Math for the Digital Factory

Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Computers, Advanced Computing, Computer Science, Reference & Language, Reference
Cover of the book Math for the Digital Factory by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319639574
Publisher: Springer International Publishing Publication: October 30, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319639574
Publisher: Springer International Publishing
Publication: October 30, 2017
Imprint: Springer
Language: English

This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing. It addresses various topics, ranging from models of single production technologies, production lines, logistics and workflows to models and optimization strategies for energy consumption in production.

The digital factory represents a network of digital models and simulation and 3D visualization methods for the holistic planning, realization, control and ongoing improvement of all factory processes related to a specific product. In the past ten years, all industrialized countries have launched initiatives to realize this vision, sometimes also referred to as Industry 4.0 (in Europe) or Smart Manufacturing (in the United States). Its main goals are

• reconfigurable, adaptive and evolving factories capable of small-scale production

• high-performance production, combining flexibility, productivity, precision and zero defects

• energy and resource efficiency in manufacturing

None of these goals can be achieved without a thorough modeling of all aspects of manufacturing together with a multi-scale simulation and optimization of process chains; in other words, without mathematics.

To foster collaboration between mathematics and industry in this area the European Consortium for Mathematics in Industry (ECMI) founded a special interest group on Math for the Digital Factory (M4DiFa). This book compiles a selection of review papers from the M4DiFa kick-off meeting held at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin, Germany, in May 2014. The workshop aimed at bringing together mathematicians working on modeling, simulation and optimization with researchers and practitioners from the manufacturing industry to develop a holistic mathematical view on digital manufacturing.

This book is of interest to practitioners from industry who want to learn about important mathematical concepts, as well as to scientists who want to find out about an exciting new area of application that is of vital importance for today’s highly industrialized and high-wage countries.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing. It addresses various topics, ranging from models of single production technologies, production lines, logistics and workflows to models and optimization strategies for energy consumption in production.

The digital factory represents a network of digital models and simulation and 3D visualization methods for the holistic planning, realization, control and ongoing improvement of all factory processes related to a specific product. In the past ten years, all industrialized countries have launched initiatives to realize this vision, sometimes also referred to as Industry 4.0 (in Europe) or Smart Manufacturing (in the United States). Its main goals are

• reconfigurable, adaptive and evolving factories capable of small-scale production

• high-performance production, combining flexibility, productivity, precision and zero defects

• energy and resource efficiency in manufacturing

None of these goals can be achieved without a thorough modeling of all aspects of manufacturing together with a multi-scale simulation and optimization of process chains; in other words, without mathematics.

To foster collaboration between mathematics and industry in this area the European Consortium for Mathematics in Industry (ECMI) founded a special interest group on Math for the Digital Factory (M4DiFa). This book compiles a selection of review papers from the M4DiFa kick-off meeting held at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin, Germany, in May 2014. The workshop aimed at bringing together mathematicians working on modeling, simulation and optimization with researchers and practitioners from the manufacturing industry to develop a holistic mathematical view on digital manufacturing.

This book is of interest to practitioners from industry who want to learn about important mathematical concepts, as well as to scientists who want to find out about an exciting new area of application that is of vital importance for today’s highly industrialized and high-wage countries.

More books from Springer International Publishing

Cover of the book Data-Based Child Advocacy by
Cover of the book Advances in Managing Humanitarian Operations by
Cover of the book Baseline of Russian Arctic Laws by
Cover of the book Advances in Computer Games by
Cover of the book Building for a Sustainable Future in Our Schools by
Cover of the book Numerical Methods for Stochastic Partial Differential Equations with White Noise by
Cover of the book Design and Construction of Phosphorus Removal Structures for Improving Water Quality by
Cover of the book Antonio Gramsci: A Pedagogy to Change the World by
Cover of the book Herpes Zoster: Postherpetic Neuralgia and Other Complications by
Cover of the book Wine and Tourism by
Cover of the book FluSHELL – A Tool for Thermal Modelling and Simulation of Windings for Large Shell-Type Power Transformers by
Cover of the book Sampling Theory, a Renaissance by
Cover of the book The Urban Transport Crisis in Emerging Economies by
Cover of the book Advanced Topics in Fuzzy Graph Theory by
Cover of the book Understanding the HIV/AIDS Epidemic in the United States by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy