Math for the Digital Factory
Resource Information
The work Math for the Digital Factory represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Math for the Digital Factory
Resource Information
The work Math for the Digital Factory represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Math for the Digital Factory
 Statement of responsibility
 edited by Luca Ghezzi, Dietmar Hömberg, Chantal Landry
 Subject

 Mathematical Modeling and Industrial Mathematics
 Operations Research, Management Science
 Systems Theory, Control
 Mathematical models
 Statistics for Business/Economics/Mathematical Finance/Insurance
 Management science
 Statistics
 Computer science  Mathematics
 Operations research
 Calculus of variations
 Statistics
 Mathematical models
 System theory
 Electronic resources
 Management science
 Mathematics
 Operations research
 System theory
 Computer science  Mathematics
 Mathematics
 Calculus of Variations and Optimal Control; Optimization
 Computational Science and Engineering
 Calculus of variations
 Language
 eng
 Summary
 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 smallscale production • highperformance 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 multiscale 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 kickoff 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 highwage countries
 Image bit depth
 0
 LC call number

 Q295
 QA402.3402.37
 Literary form
 non fiction
 Series statement
 Mathematics in Industry,
 Series volume
 27
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