White Paper
The Use of Designed Experimentation to Improve and Accelerate the Innovation Process
Christine M. Anderson-Cook, Los Alamos
Ryan Lekivetz, JMP Statistical Discovery LLC
Douglas C. Montgomery, Arizona State University
William H. Woodall, Virginia Tech
Scientist, Los Alamos National Laboratory (Retired)
Ryan Lekivetz
Director, DOE and Reliability, JMP Statistical Discovery LLC
Douglas C. Montgomery
Regents Professor of Industrial Engineering and Statistics, Arizona State University
William H. Woodall
Emeritus Faculty, Department of Statistics, Virginia Tech
In today's rapidly changing world, having a high-quality product or an efficient production process no longer guarantees success. Innovation is a necessity. Whether you're striving for breakthrough discoveries or incremental improvements, a well-designed experiment can help uncover key insights and deliver optimal results, both of which are critical to ongoing innovation.
In this white paper, we review some key characteristics of innovation and describe the ways in which the innovation process can be aided, accelerated, and improved using designed experiments. We also provide you with best practices around pre-experimental planning, practical advice on conducting effective experiments, and tips on how to get the most from your post-experiment discoveries.
What you learn:
- How designed experimentation accelerates product and process innovation, including the critical differences between breakthrough and incremental innovation, and why both are vital for success.
- Proven applications of experimentation in a variety of industries, from pharmaceuticals to synthetic biology to nanotechnology.
- How to design, conduct, and evaluate effective experiments, including best practices and expert advice from our authors.
Whether you’re looking to improve your existing products or processes, or hoping to develop groundbreaking new ones, this white paper provides the roadmap you need for achieving success using experimental design.