
Statistical process control and quality improvement
Résumé
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.
Contents
- Introduction to Quality Concepts and Statistical Process Control
- Striving for Quality: Management's Problem and Management's Solution
- Introduction to Variation and Statistics
- Organization of Data: Introduction to Tables, Charts, and Graphs
- Introduction to Probability and the Normal Probability Distribution
- Introduction to Control Charts
- Additional Control Charts for Variables
- Variables Charts for Limited Data
- Attributes Control Charts
- Interpreting Control Charts
- Problem Solving
- Gauge Capability
- Acceptance Sampling
- Appendices
- Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Prentice Hall |
Auteur(s) | Gerald M. Smith |
Parution | 01/09/2003 |
Édition | 5eme édition |
Nb. de pages | 666 |
Format | 18 x 24 |
Couverture | Relié |
Poids | 1125g |
Intérieur | Noir et Blanc |
EAN13 | 9780130490360 |
ISBN13 | 978-0-13-049036-0 |
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