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Publication Citation: PARAMETER VALIDATION USING CONSTRAINT OPTIMIZATION FOR MODELING AND SIMULATION

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Author(s): Guodong Shao; Charles R. McLean; Alexander Brodsky; Paul Ammann;
Title: PARAMETER VALIDATION USING CONSTRAINT OPTIMIZATION FOR MODELING AND SIMULATION
Published: May 11, 2009
Abstract: Modeling and simulation (M&S) techniques are increasingly being used to solve problems and aid decision making in many different fields. Results of simulations are expected to provide reliable information for decision makers. But potential errors may be introduced during the M&S development lifecycle. It is critical to ensure to build the right model and the model is built right. M&S community has had intensive Verification and Validation (V&V) research. But V&V activities are often not formally performed in most of the cases. For those who perform V&V activities, they normally wait until development of the simulation modeling is finished. Practical and solid validation techniques are needed. In this paper, the authors propose a novel validation methodology that allows parallel simulation development and model parameter validation, i.e. first the simulation model can be built with unknown parameters included; and then, those parameters can be estimated using a built-in constraint optimizer. Finally the initially unknown parameters are replaced with the found optimal values. The model is ready for future output prediction. A validation method for the technique is discussed. As an example application, a simple supply chain cost simulation model was discussed using the proposed methodology.
Proceedings: Proceedings of the Industrial Simulation Conference 2009
Location: Loughborough, -1
Dates: June 1-3, 2009
Keywords: Modeling and Simulation (M&S); Verification and Validation (V&V); Model Parameter; Optimization
Research Areas: Simulation, Manufacturing
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