Statistical Process Control and Quality Improvement, 5/e

Gerald M. Smith

  • 出版商: Prentice Hall
  • 出版日期: 2003-07-21
  • 售價: $1,000
  • 貴賓價: 9.5$950
  • 語言: 英文
  • 頁數: 672
  • 裝訂: Hardcover
  • ISBN: 0130490369
  • ISBN-13: 9780130490360
  • 下單後立即進貨 (約5~7天)

買這商品的人也買了...

商品描述

 

For freshman/sophomore level introductory courses in SPC (Statistical Process Control), Statistical Quality Control or Quality Control found in two and four-year college curriculums, and in industrial training programs.

This “mathematics-friendly” text introduces students to basic concepts and applications of Statistical Process Control (SPC). Students get a solid foundation in control charts—including setting scales, charting, interpreting, and analyzing process capability. Problem-solving techniques are emphasized, and all learning is linked to the implementation of SPC in the workplace.

Table of Contents:

    1. Introduction to Quality Concepts and Statistical Process Control.

What is Quality? Definitions of Quality. The Need for SPC. Prevention Versus Detection. SPC Goals. The Basic Tools for SPC. Statistical Process Control Techniques. Applying SPC to an Existing Manufacturing Process. Designed Experiments. The Quality Toolbox.

2. Striving for Quality: Management's Problem and Management's Solution.

Management's Problem. Management's Dilemma. Leadership by Management. Deming's Contribution to Quality. Deming's 14 Points for Management. Deming's Seven Deadly Diseases. Crosby's Approach. A Comparison of Deming's 14 Points and Crosby's 14 Steps. Which Way to Top Quality? Pitfalls in the Quest for Quality. Total Quality Management (TQM). The Malcolm Baldrige National Quality Award. Total Customer Satisfaction. ISO-9000. The Service Sector.

3. Introduction to Variation and Statistics.

Measurement Concepts. Special-Cause and Common-Cause Variation. The Variation Concepts. Distributions and SPC Goals. Basic Statistical Concepts. Distributions and Three Standard Deviations.

4. Organization of Data: Introduction to Tables, Charts, and Graphs.

Stemplots. Frequency Distributions and Tally Charts. Histograms. Pareto Charts. Flowcharts. Storyboards. The Cause-and-Effect Diagrams. Checksheets. Scatterplots.

5. Introduction to Probability and the Normal Probability Distribution.

Probability. Compound Probability. Counting with Permutations and Combinations. The Binomial Distribution. The Hypergeometric Distribution. Probability Distributions. The Normal Probability Distribution. The Application of the Central Limit Theorem.

6. Introduction to Control Charts.

heControl Chart Concept. Preparation for Control Charting. Control Charts and Run Charts. The Basic x–bar and R Charts. The x–bar and R Chart Procedure. The Continuation Control Chart. The Capability Analysis. Six-Sigma.

7. Additional Control Charts for Variables.

The Median and Range Chart (x–bar and R). x–bar and s Charts. Coding Data. A Modified x–bar and R Chart for Small Sets of Data. The Nominal x–bar and R Chart. The Transformation x–bar and R Chart. Control Chart Selection.

8. Variables Charts for Limited Data.

Precontrol or Rainbow Charts. A Compound Probability Application. Modified Precontrol for Tight Control. Charts for Individual Measurements.

9. Attributes Control Charts.

The Four Types of Attributes Charts. The p Chart. The np Chart. The c Chart. The u Chart. SPC Applied to the Learning Process. Technology in SPC.

10. Interpreting Control Charts.

The Random Distribution of Points. Freaks. Binomial Distribution Applications. Freak Patterns. Shifts. Runs and Trends. Time and Control Chart Patterns. Cycles. Grouping. Instability. Stable Mixtures. Stratification. Using Control Chart Patterns in Problem Solving.

11. Problem Solving.

The Problem-Solving Sequence. Teamwork for Problem Solving. Brainstorming. Using Problem-Solving Tools. Mistake Proofing. Problem Solving in Management. JIT (Just-in-time). Problem Solving in the Classroom.

12. Gauge Capability.

Preparations for a Gauge Capability Study. The Gauge Capability Procedure. Analysis of R and R with Accuracy and Stability: Maximum Possible Deflection. The Elimination of Gauge Variation From Process Variation. Indecisive Gauge Readings.

13. Acceptance Sampling.

The Sampling Dilemma. Random Sampling. Operating Characteristic Curves. The Average Outgoing Quality Curve. MLT-STD-105D for Inspection by Attributes. The Average Proportion Defective. Vendor Certification and Control Chart Monitoring.

Appendix A: Basic Math Concepts.

Signed Numbers. Variables. Order of Operations. Inequalities. Using the Statistical Calculator.

Appendix B: Charts and Tables.

Formulas and Constants for Control Charts. The G Chart. The Normal Distribution Table (Tail Area). The Normal Distribution Table (Center Area). The Normal Distribution Table (Left Area). Process Capability.

Appendix C: Glossary of Symbols.

Appendix D: Lab Exercises. Answers to Odd Exercises.

Index.

商品描述(中文翻譯)

這本「友善數學」的教材適用於大學二年級或初級水準的SPC(統計過程控制)、統計品質控制或品質控制課程,以及工業培訓計劃。本書介紹學生基本概念和應用統計過程控制(SPC)的方法。學生將建立穩健的控制圖基礎,包括設定尺度、繪製、解讀和分析過程能力。強調問題解決技巧,並將所有學習與SPC在工作場所的實施相關聯。

目錄:
1. 品質概念和統計過程控制簡介
2. 追求品質:管理問題和解決方案
3. 變異和統計簡介
4. 數據組織:表格、圖表和圖形簡介
5. 概率和正態概率分佈簡介
6. 控制圖簡介
7. 變量的其他控制圖
8. 有限數據的變量圖
9. 屬性控制圖
10. 解讀控制圖