Variability arises in multistage manufacturing processes (MMPs) from a variety of sources. Variation reduction demands data fusion from product/process design, manufacturing process data, and quality measurement. Statistical process control (SPC), with a focus on quality data alone, only tells half of the story and is a passive method, taking corre

Basis of Matrix Theory and Multivariate Statistics. Variation Propagation Modeling in MMP. Variation Source Diagnosis. Design for Variation Reduction. Quality and Reliability Integration and Advanced Topics. Index.