JMP and Designed Experiments - Bob Bondar, BASF

Over the course of my industrial career, I have developed a strong appreciation for designed experimentation for solving industrial problems. During the past 5+ years I have applied JMP statistical software to problem solving, and found it to be extremely useful for both designing and evaluating experiments, and for its useful graphics for data visualization. Three examples will be reviewed which involve: 1) Stability of flexible molded polyurethane (PU) foam as related to isocyanate composition, 2) A mixture experiment with semi-flex molded PU foam for improved understanding of ultimate material properties, and 3) Elucidation of key processing variables for improved adhesion of cast PVC cover-skin to PU foam.

About the Presenter

Robert Bondar is a Development Leader at BASF Corporation in Polyurethanes Development, in Wyandotte, MI. Bob is a Chemical Engineer (BSChE, MSChE) with degrees from Wayne State University in Detroit, MI. He has been working for nearly 40 years in both the Automotive (Ford Motor, Visteon, Faurecia) and Chemical Industries (BASF Corporation), with particular interests in the application of designed experiments and statistics to solving industrial problems. Bob co-authored 2 U.S patents and multiple articles for preparation of automotive interior trim. Bob is also the President of the Detroit Chapter of the American Statistical Association.