This paper presents a global methodology for designing product for Six Sigma. First, we
combine a feasibility-modeling technique with an interactive multiobjective algorithm taking …

Robust design optimization aims to find solutions that are competent and reliable under
given uncertainties. While such uncertainties can emerge from a number of sources …

This paper presents a methodology for reliability-based multiobjective optimization of large-
scale engineering systems. This methodology is applied to the vehicle crashworthiness …

The current push in industry is focused on ensuring not only that a product performs as
desired but also that the product consistently performs as desired. To ensure consistency in …

A formal multiobjective optimization method based on satisfaction metrics is presented for
designing an engineering system with mathematical rigour. Three satisfaction-based design …

DESIGN optimization can be described as the problem of determining the inputs of an
objective function that will maximize or minimize its value at a certain design point. For …

The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …

This paper introduces a multiobjective optimization tool called MOSES (Multiobjective
Optimization of Systems in the Engineering Sciences). This tool is a convenient testbed for …

Robust design (RD) is a popular design methodology for minimizing the variability of product
performance, thereby, improving the quality of a product. Although RD principles have been …

Due to rapid development of faster and faster computing facilities the multibody system
approach which has been studied now for more than three decades [1] is starting to switch …