Anderson-Cook on response surface methodology (RSM) using the first edition of this book.
It ended up being one of the most valuable classes in my career as an industrial statistician. I …

Abstract Response Surface Designs (RSDs) are widely used in process or product
optimization studies to explore the input-response relationship. This paper is an attempt to …

In recent years, there has been an increasing emphasis in the design of experiments
literature on optimal design. Many authors have recommended that optimal design of …

Optimal experimental designs are effective offline quality improvement techniques used to
enhance existing products and develop new products for a constrained design region. For …

The aim of this article is to provide an overview of the orthogonal array composite design
(OACD) methodology, illustrate the various advantages, and provide a real‐world …

Missing observation is a common problem in scientific and industrial experiments,
particularly in a small-scale experiment. They often present significant challenges when …

Reliability growth is not a new topic in either engineering or statistics and has been a major
focus for the past few decades. The increasing level of high-tech complex systems and …

Most of the scientific and industrial experiments usually involve small number of factors,
especially biomedical experiments and computer based experiments. We construct some …

The primary objective of this study is to evaluate the efficacy of the coordinate exchange
(CEXCH) algorithm in the generation of robust optimal designs. The assessment involves a …

Robust parameter design (RPD), originally conceptualized by Taguchi, is an effective
statistical design method for continuous quality improvement by incorporating product …