Special Sessions
Special Session on Computationally Efficient
Simulation-Driven Engineering Design Optimization and Modeling - SDDOM 2011
Simulation-Driven Engineering Design Optimization and Modeling - SDDOM 2011
Co-chairs
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Slawomir Koziel Reykjavik University Iceland |
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Leifur Leifsson Reykjavik University Iceland |
Scope
The use of computer simulations is ubiquitous in contemporary engineering design. High-fidelity numerical models are very accurate but, at the same time, computationally expensive and inherently noisy. Depending on the structure complexity and required accuracy level, evaluation time for a single design can take hours, days or even weeks. Therefore, direct use of high-fidelity simulations in the optimization loop may be prohibitive. On the other hand, in many cases, simulation-driven design is the only option due to complexity of the structure under consideration and the lack of analytical models and/or systematic design procedures. In such instances, computationally efficient design can be performed using surrogate-based optimization (SBO), where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation, a surrogate. The special session will focus on reviewing state-of-the-art and promoting new directions of surrogate-based and knowledge-based design optimization and modeling methodologies exploiting computer simulations as well as their applications in various fields of science and engineering.
The use of computer simulations is ubiquitous in contemporary engineering design. High-fidelity numerical models are very accurate but, at the same time, computationally expensive and inherently noisy. Depending on the structure complexity and required accuracy level, evaluation time for a single design can take hours, days or even weeks. Therefore, direct use of high-fidelity simulations in the optimization loop may be prohibitive. On the other hand, in many cases, simulation-driven design is the only option due to complexity of the structure under consideration and the lack of analytical models and/or systematic design procedures. In such instances, computationally efficient design can be performed using surrogate-based optimization (SBO), where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation, a surrogate. The special session will focus on reviewing state-of-the-art and promoting new directions of surrogate-based and knowledge-based design optimization and modeling methodologies exploiting computer simulations as well as their applications in various fields of science and engineering.
Special Session on Manufacturing Simulation and Industrial Engineering - MSIE 2011
Chair
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Oleg Gusikhin Ford Research & Adv. Engineering U.S.A. |
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MSIE was a joint event between SIMULTECH and ICINCO.
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Scope
Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems, well related to business-oriented disciplines such as Operations Management. Industrial engineers use computer simulation (especially discrete event simulation), along with extensive mathematical tools and modeling and computational methods for system analysis, evaluation, and optimization. Industrial simulation can help to identify inefficiencies and examine how these may be addressed. With the integration of artificial intelligence, agents and other modeling techniques, simulation has become an effective and appropriate decision support tool in industry. The MSIE special session focuses on simulation applications for the factory of the future (e.g. transformable factories, networked factories, learning factories, digital factories) in application areas such as Automotive Industries, Aerospace, CAD/CAM/CAE, Defense Electronics, Simulation in Industrial Design, Industrial and Process Simulation, Supply Chain, Power Plants, etc.
The MSIE special session invites quality papers describing original work including research ideas, case-studies and new findings on methodological and technological aspects related to Manufacturing Simulation and Industrial Engineering, in particular papers describing methods, techniques, recent advances, applications and tools.
Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems, well related to business-oriented disciplines such as Operations Management. Industrial engineers use computer simulation (especially discrete event simulation), along with extensive mathematical tools and modeling and computational methods for system analysis, evaluation, and optimization. Industrial simulation can help to identify inefficiencies and examine how these may be addressed. With the integration of artificial intelligence, agents and other modeling techniques, simulation has become an effective and appropriate decision support tool in industry. The MSIE special session focuses on simulation applications for the factory of the future (e.g. transformable factories, networked factories, learning factories, digital factories) in application areas such as Automotive Industries, Aerospace, CAD/CAM/CAE, Defense Electronics, Simulation in Industrial Design, Industrial and Process Simulation, Supply Chain, Power Plants, etc.
The MSIE special session invites quality papers describing original work including research ideas, case-studies and new findings on methodological and technological aspects related to Manufacturing Simulation and Industrial Engineering, in particular papers describing methods, techniques, recent advances, applications and tools.
