Math for the Digital Factory. 1st ed. 2017

種類:

電子ブック

責任表示:

edited by Luca Ghezzi, Dietmar Hömberg, Chantal Landry

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

• Ghezzi, Luca.
• Hömberg, Dietmar.
• Landry, Chantal.
• SpringerLink (Online service)

シリーズ名:

The European Consortium for Mathematics in Industry ; 27

ISBN:

9783319639574 [3319639579]    

注記:

Part I: Planning and Scheduling of Production Systems: Hard Planning and Scheduling Problems in the Digital Factory -- Modeling of Material Flow Problems -- Max-Plus-Linear Systems for Modeling and Control of Manufacturing Problems -- Stochastic Optimal Sizing of a Warehouse -- Challenges of Mechatronical Engineering of Production Systems – an Automation System Engineering View -- Part II: Optimization of Production Lines: Physics-Based Simulation for Energy Consumption Optimization of Automated Assembly Systems in the Automotive Industry -- Optimization of Power Consumption for Robotic Lines in Automotive Industry -- Production Line Optimization with Model Based Methods -- Automatic Reconfiguration of Robotic Welding Cells -- Numerical Approaches Towards Bi-Level Optimal Control Problems with Scheduling Tasks -- Part III: Selected Production Technologies: Math-Based Algorithms and Software for Virtual Product Realization Implemented in Automotive Paint Shops -- Hot Blade Cuttings for the Building Industries
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 ca

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