ABSTRACT
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
TABLE OF CONTENTS
part |2 pages
Part I. Basis of Matrix Theory and Multivariate Statistics
part |2 pages
Part II. Variation Propagation Modeling in MMP
part |2 pages
Part III. Variation Source Diagnosis
part |2 pages
Part IV. Design for Variation Reduction
part |2 pages
Part V. Quality and Reliability Integration and Advanced Topics