In this paper, we provide a review of statistical methods that are useful in conducting
computer experiments. Our focus is on the task of metamodeling, which is driven by the goal …

In this article, we use orthogonal arrays (OA's) to construct Latin hypercubes. Besides
preserving the univariate stratification properties of Latin hypercubes, these strength r OA …

It is more than a decade since Genichi Taguchi's ideas on quality improvement were
inrroduced in the United States. His parameter-design approach for reducing variation in …

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in
engineering design has increased dramatically. In particular, the advent of modern …

In this chapter, we provide a review of statistical methods that are useful in conducting
computer experiments. Our focus is primarily on the task of metamodeling, which is driven by …

The concept of robust design involves identification of design settings that make the product
performance less sensitive to the effects of seasonal and environmental variations. This …

Optimization problems that arise in engineering design are often characterized by several
features that hinder the use of standard nonlinear optimization techniques. Foremost among …

Finding a design scheme for expensive computer experiments in arbitrary design regions is
often a difficult task. A well-known criterion that is often used for computer experiments is the …

Steady-state flowsheet simulations can be too complex to be amenable to direct
optimization. An indirect route involves data collection from the simulation and fitting of less …

Different numerical optimization strategies were used to find an optimized parameter setting
for the sheet metal forming process. A parameterization of a time-dependent blank-holder …