Stream of Variation Modeling And Analysis for Multistage Manufacturing Processes

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 corrective action only after variations occur. Learn how the Stream of Variation (SoV) methodology helps reduce or even eliminate variations throughout the entire MMP in Jianjun Shi's Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes.The unified methodology outlined in this book addresses all aspects of variation reduction in a MMP, which consists of state space modeling, design analysis and synthesis, engineering-driven statistical methods for process monitoring and root-cause diagnosis, and quick failure recovery and defect prevention. Coverage falls into five sections, beginning with a review of matrix theory and multivariate statistics followed by variation propagation modeling with applications in assembly and machining processes. The third section focuses on diagnosing the sources of variation while the fourth section explains design methods to reduce variability. The final section assembles advanced SoV-related topics and the integration of quality and reliability.Introducing a powerful and industry-proven method, this book fuses statistical knowledge with the engineering knowledge of product quality and unifies the design of processes and products to achieve more predictable and reliable manufacturing processes.

What Is Stream of Variation for Multistage Manufacturing Processes?BASIS OF MATRIX THEORY AND MULTIVARIATE STATISTICSBasics of Matrix TheoryBasics of Multivariate Statistical AnalysisStatistical Inferences in Mean Vectors and Linear ModelsPrinciple Component Analysis and Factor AnalysisVARIATION PROPAGATION MODELING IN MMPState Space Modeling for Assembly ProcessesState Space Modeling for Machining ProcessesFactor Analysis Method for Variability ModelingVARIATION SOURCE DIAGNOSISDiagnosability Analysis for Variation Source IdentificationDiagnosis through Variation Pattern MatchingEstimation-Based DiagnosisDESIGN FOR VARIATION REDUCTIONOptimal Sensor Placement and DistributionDesign Evaluation and Process Capability AnalysisOptimal Fixture Layout DesignProcess-Oriented Tolerance SynthesisQUALITY AND RELIABILITY INTEGRATION AND ADVANCED TOPICSQuality and Reliability Chain Modeling and AnalysisQuality-Oriented Maintenance for Multiple Interactive System ComponentsAdditional Topics on Stream of VariationINDEX