Field(s) of Expertise/Research Area(s)

Quality improvement, design of experiments, design of simulation experiments, response surface methodology, robust design, engineering design.

Courses

303 Statistics I (Winter and Spring)

Biography

As a design engineer in the automotive parts industry, I found that an engineer's job depends heavily on the ability to efficiently collect data and accurately analyze it. I found that most engineers do not have access to a wide variety of statistical methods to help them to perform these critical tasks. My research addresses this problem through the development of simple to use, yet statistically powerful tools for the design and analysis of industrial experiments. I have recently been working on design of simulation experiments for discrete event simulation models. I am primarily interested in statistical tools of experimental design and analysis such as factorial and fractional factorial experiments, response surface methodology, and model building. I am also very interested in the use of statistical models to help suggest or develop mechanistic models of engineered systems. I view statistical methods merely as tools to be used for an engineering or scientific purpose. I am therefore concerned not only with the tools, but also with the entire process of design, development, and continuous improvement in industry. I have recently been involved with research on adapting design of experiment techniques for use in simulation experiments. These experiments are run on simulation models of manufacturing or other large scale systems and help engineers and managers to make tactical and strategic decisions based on realistic computer models.

Research

• Statistical Design of Industrial and Simulation Experiments
• Engineering Design and Development
• Quality Improvement and Quality Control
• Applied Statistical Methods

Honors and Awards