UT Arlington engineer to develop system for ensuring manufacturing quality

Assistant professor to build consistency in processesA UT Arlington engineer has received a $142,223 National Science Foundation grant to develop a mathematical method of ensuring for consistency in various manufacturing processes that produce complex data. Li Zeng, an assistant professor of Industrial & Manufacturing Systems Engineering,  said the key to her study is to collect such data, analyze it and report on whether irregularities exist in the process. The work focuses on “profile data,” which is far more complex than typical data produced in a quality