This talk provides a briefing on statistical design of experiments (DOE) for rapid and effective screening, characterization and optimization of factors affecting manufacturing process efficiency, quality and reliability. Starting from the earliest statistical developments, it covers a broad range of DOE tools, including factorial design and response surface methods (RSM). Engineers tasked with manufacturing process improvement will benefit greatly by learning how to make the most from every experiment via these multifactor testing methods.