Introduction to statistical quality control
著者
書誌事項
Introduction to statistical quality control
Wiley, c1996
3rd ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This text contains the material needed to teach a modern, comprehensive first course in statistical quality control to students with only a modest statistical background. It covers important aspects of process capability analysis. Other features include: practical examples and problems, including real situations and revised homework problems that make use of packages such as Statgraphics; a practical focus, with new coverage of statistical process control and application of control charts; and the reduction of advanced topics such as acceptance sampling and economic models; and a two-colour book.
目次
- Quality Improvement in the Modern Business Environment
- STATISTICAL METHODS USEFUL IN QUALITY IMPROVEMENT
- Modeling Process Quality
- Inferences About Process Quality
- STATISTICAL PROCESS CONTROL
- Methods and Philosophy of Statistical Process Control
- Control Charts for Variables
- Control Charts for Attributes
- Cumulative Sum and Exponentially Weighted Moving Average Control Charts
- Other Statistical Process Control Techniques
- Process Capability Analysis
- PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS
- The Fundamentals of Experimental Design
- Factorial and Fractional Factorial Experiments for Process Design and Improvement
- Process Optimization with Designed Experiments
- ACCEPTANCE SAMPLING
- Lot-By-Lot Acceptance Sampling by Attributes
- Other Acceptance Sampling Techniques
- Appendices
- Bibliography
- Answers to Selected Exercises
- Index.
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