Article ID: | iaor20091442 |
Country: | United Kingdom |
Volume: | 40 |
Issue: | 3 |
Start Page Number: | 223 |
End Page Number: | 251 |
Publication Date: | Mar 2008 |
Journal: | Engineering Optimization |
Authors: | Mistree Farrokh, Allen Janet K., Panchal Jitesh H., Paredis Christiaan J.J. |
Keywords: | decision theory: multiple criteria, optimization, programming: goal |
The appropriateness of a simulation model for engineering design is dependent on the trade-off between model accuracy and the computational expense for its development and execution. Since no simulation model is perfect, any simulation model for a system's physical behaviour can be refined further, although likely at an increased computational cost. Hence, the question faced by a designer is ‘How much refinement of a simulation model is appropriate for a particular design problem?’ The simplified nature of simulation models results in two types of uncertainty – variability, which can be modelled using probability distribution functions and imprecision, best modelled using intervals.