Systematic defect screening in controlled experiments using volume diagnosis

Controlled modification of different process parameters, using designed experiments, is a key method of achieving high yield in a volume manufacturing environment. However, these changes need to be validated extensively and screened for new systematic defects before release to production. This work presents a novel approach of using volume diagnosis to aid in the screening process. Silicon case studies are presented to validate the production worthiness of this approach.