This paper describes the application of Kriging metamodeling in multiple-objective simulation optimization. An Arenabased simulation model of an (s, S) inventory system is utilized to demonstrate the capabilities of Kriging metamodeling as a simulation tool. Response surface methodology and Kriging metamodeling are compared to determine the situations in which one approach might be preferred ov...

Engineering design optimization using concurrent integrated experiment and simulation is a Dynamic Data Driven Application System (DDDAS) wherein remote experiment and simulation can be synergistically utilized in real-time to achieve better designs in less time than conventional methods. The paper describes the Data Driven Design Optimization Methodology (DDDOM) being developed for engineering...

by new advancements in vehicle manufacturing vehicle quality evaluation and assurance has become a more critical issue. in present work, the vibration transfer path analysis and vibration path ranking of a car interior has been performed. the method is similar to classical multilevel tpa methods but has distinct differences. the method is named vivs which stands for vehicle interior vibration s...

The numerical optimization of continuous parameters in electrotechnical design using electromagnetic field simulation is already standard. In this paper, we describe a new sequential surrogate optimization approach for simulation-based mixed-integer nonlinear programming problems. We apply the method for the optimization of combined integerand real-valued geometrical parameters of the coils of ...

Multi-fidelity simulation is an effective approach to balancing speed and accuracy in expensive simulation, its performance affected by the quality of multi-fidelity models. Building high-quality models non-trivial, especially for complex systems, because current manual modeling methods require sufficient domain knowledge experience, increasing labor time costs. Motivated issues, this paper foc...

Optimization of discrete event systems is often time consuming and also requires specific approaches due to the fact that general methodologies cannot be successfully applied to any kind of system. Conventional approaches use simulation as a black-box oracle to estimate performance at design points generated by a separate optimization algorithm. This decoupled approach fails to exploit an impor...

Modelling, simulation and optimization form an integrated part of modern design practice in engineering and industry. Tremendous progress has been observed for all three components over the last few decades. However, many challenging issues remain unresolved, and the current trends tend to use nature-inspired algorithms and surrogate-based techniques for modelling and optimization. This 4th wor...