Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes: 1st Edition (Hardback) book cover

Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes

1st Edition

By Jianjun Shi

CRC Press

496 pages | 120 B/W Illus.

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pub: 2006-12-04
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Description

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.

Reviews

The author is one of the leading researchers engaged in addressing this issue … an excellent source for applied statisticians and engineers alike who are interested in the applications of multivariate statistical models. The treatment of the subject matter makes it not only a useful reference for researchers and practitioners in this field (quality monitoring and applied statistics), but also an excellent textbook for a graduate level advanced quality course … a useful resource for industrial practitioners … an excellent collection of materials for researchers, practitioners, and educators interested in advanced quality monitoring through the application of multivariate statistics and linear systems principles, and this book can be used as part of a graduate level advanced quality course.

—Satish T.S. Bukkapatnam, Oklahoma State University, Technometrics, Vol. 51 No. 4, Nov. 2009

Table of Contents

What Is Stream of Variation for Multistage Manufacturing Processes?

BASIS OF MATRIX THEORY AND MULTIVARIATE STATISTICS

Basics of Matrix Theory

Basics of Multivariate Statistical Analysis

Statistical Inferences in Mean Vectors and Linear Models

Principle Component Analysis and Factor Analysis

VARIATION PROPAGATION MODELING IN MMP

State Space Modeling for Assembly Processes

State Space Modeling for Machining Processes

Factor Analysis Method for Variability Modeling

VARIATION SOURCE DIAGNOSIS

Diagnosability Analysis for Variation Source Identification

Diagnosis through Variation Pattern Matching

Estimation-Based Diagnosis

DESIGN FOR VARIATION REDUCTION

Optimal Sensor Placement and Distribution

Design Evaluation and Process Capability Analysis

Optimal Fixture Layout Design

Process-Oriented Tolerance Synthesis

QUALITY AND RELIABILITY INTEGRATION AND ADVANCED TOPICS

Quality and Reliability Chain Modeling and Analysis

Quality-Oriented Maintenance for Multiple Interactive System Components

Additional Topics on Stream of Variation

INDEX

Subject Categories

BISAC Subject Codes/Headings:
BUS053000
BUSINESS & ECONOMICS / Quality Control
TEC020000
TECHNOLOGY & ENGINEERING / Manufacturing
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control