- English
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eBook - ePub
Statistical Process Monitoring and Optimization
About this book
Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range o
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Yes, you can access Statistical Process Monitoring and Optimization by Geoffrey Vining in PDF and/or ePUB format, as well as other popular books in Business & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Related titles
- Title Page
- Copyright Page
- Preface
- Table of Contents
- Contributors
- 1: On-Line Quality Control System Designs
- 2: Statistical Monitoring and Optimization in Total Quality Management
- 3: Quality Improvement Methods and Statistical Reasoning*
- 4: Leadership Profiles and the Implementation of Total Quality Management for Business Excellence
- 5: A Methodological Approach to the Integration of SPC and EPC in Discrete Manufacturing Processes
- 6: Reliability Analysis of Customer Claims
- 7: Some Recent Developments in Control Charts for Monitoring a Proportion
- 8: Process Monitoring with Autocorrelated Data
- 9: An Introduction to the New Multivariate Diagnosis Theory with Two Kinds of Quality and Its Applications
- 10: Applications of Markov Chains in Quality-Related Matters
- 11: Joint Monitoring of Process Mean and Variance Based on the Exponentially Weighted Moving Averages
- 12: Multivariate Quality Control Procedures
- 13: Autocorrelation in Multivariate Processes
- 14: Capability Indices for Multiresponse Processes
- 15: Pattern Recognition and Its Applications in Industry
- 16: Assessing Process Capability with Indices
- 17: Experimental Strategies for Estimating Mean and Variance Function
- 18: Recent Developments in Supersaturated Designs
- 19: Statistical Methods for Product Development: Prototype Experiments
- 20: Optimal Approximate Designs for B-Spline Regression with Multiple Knots
- 21: On Dispersion Effects and Their Identification
- 22: A Graphical Method for Model Fitting in Parameter Design with Dynamic Characteristics
- 23: Joint Modeling of the Mean and Dispersion for the Analysis of Quality Improvement Experiments
- 24: Modeling and Analyzing the Generalized Interaction
- 25: Optimization Methods in Multiresponse Surface Methodology
- 26: Stochastic Modeling for Quality Improvement in Processes
- 27: Recent Developments in Response Surface Methodology and Its Applications in Industry
- Index