Robust Design Optimization in Computational Mechanics

Multidisciplinary Design Optimization in Computational Mechanics

Multidisciplinary Design Optimization in Computational Mechanics

Robust Design Optimization

Within the robust design optimization, the statistical variability of the design parameter is considered. The most general method for solving optimization problems under uncertainties is the well established Monte Carlo simulation method. However, the major shortcoming of this approach is its vast need of computational resources (the number of solver runs required), and these cannot be presumed...

A ROBUST OPTIMIZATION MODEL FOR BLOOD SUPPLY CHAIN NETWORK DESIGN

The eternal need for humans' blood as a critical commodity makes the healthcare systems attempt to provide efficient blood supply chains (BSCs) by which the requirements are satisfied at the maximum level. To have an efficient supply of blood, an appropriate planning for blood supply chain is a challenge which requires more attention. In this paper, we address a mixed integer linear programming...

Robust Design and Reliability-based Design Optimization

A large number of problems in manufacturing processes, production planning, finance and engineering design require an understanding of potential sources of variations and quantification of the effect of variations on product behavior and performance. Traditionally, in engineering problems uncertainties have been formulated only through coarse safety factors. Such methods often lead to overdesig...