Statistical Methods for the Process Industries

This practical reference provides a specific application of comprehensive process improvement techniques to the process industries-emphasizing statistical methods and organized problem solving.Requiring no advanced mathematics or statistics and offering self-contained chapters which may be studied independently of each other, Statistical Methods for the Process Industries supplies an overview of Total Quality Management (TQM)...outlines a strategy for impelementing TQM into on-the-job tasks.....introduces both simple and advanced statistical techniques......covers special topics, including measurement systems and process capability.....and much more! Containing numerous examples directly applicable to the process industries and illustrated with over 170 helpful drawings and tables, this easy-to-use manual is an essential resource for engineers and engineering students seeking to improve quality and productivity in the process industries.

About the Series
Preface

Chapter 1 : Introduction to Statistical Methods
Chapter 2 : Quality and Variation
Chapter 3 : Introduction to Control Charts
Chapter 4 : Strategy for Process Improvement
Chapter 5 : Problem Solving Model
Chapter 6 : Pareto Diagrams
Chapter 7 : Process Flow Diagrams
Chapter 8 : Histograms
Chapter 9 : Data and Distributions
Chapter 10 : Interpretation of Control Charts
Chapter 11 : p Charts
Chapter 12 : np Charts
Chapter 13 : e Charts
Chapter 14 : u Charts
Chapter 15 : Special Topics in Attributes Control Charts
Chapter 16 : X-R Charts
Chapter 17 : Individuals Control Charts
Chapter 18 : Moving Average and Moving Range Charts
Chapter 19 : X-s Charts
Chapter 20 : Control Charts with Trend Lines
Chapter 21 : Cumulative Sum Control Charts
Chapter 22 : Exponentially Weighed Moving Average Control Charts
Chapter 23 : Special Topics in Variables Control Charts
Chapter 24 : Control Strategies
Chapter 25 : Use of Control Charts
Chapter 26 : Cause and Effect Diagrams
Chapter 27 : Scatter Digrams
Chapter 28 : Measurement Systems
Chapter 29 : Process Capability
Chapter 30 : Comparing Processes
Chapter 31 : Nested Experimental Designs
Chapter 32 : The Deming Philosophy

Tables
Index

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