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Introduction to statistical quality control / Douglas C. Montgomery.

Por: Lenguaje original: Inglés Hoboken, NJ : John Wiley & Sons , 2020Edición: Eighth editionDescripción: xiii, 644 [90] páginasTipo de contenido:
  • text
Tipo de medio:
  • unmediated
Tipo de soporte:
  • volume
ISBN:
  • 9781119657118
Tema(s): Clasificación CDD:
  • 658.5 M787i 2020
Contenidos:
1. Quality Improvement in the Moder Business Environment.
2. The DMAIC Process.
3. Modeling Process Quality.
4. Inferences About Process Quality.
5. Methods and Philosophy of Statistical Process Control.
6. Control Charts for Variables.
7. Control Charts for Attributes.
8. Process and Meausurement System Capability Analysis.
9. Cumulative Surm and Exponentially Weighted Moving Average.
10. Other Univariate Statistical Process-Monitoring and Control Techniques.
11. Multivariate Process Monitoring and Control.
12. Engineering Process Control and SPC.
13. Factorial and Farctional Factorial Experiments for Process Desing and Improvement.
14. Process Optimization with Designed Experiments.
15. Lot-by-Lot Acceptance Sampling for Attributes.
16. Other Acceptance-Sampling Techniques.
Existencias
Tipo de ítem Biblioteca actual Colección Signatura topográfica Copia número Estado Fecha de vencimiento Código de barras
Libros Biblioteca Central Estantería General 658.5 M787i 2020 (Navegar estantería(Abre debajo)) c.1 Disponible 013818
Libros Biblioteca Central Estantería General 658.5 M787i 2020 (Navegar estantería(Abre debajo)) c.2 Disponible 013819

Incluye contenido.

Bibliografía.

1. Quality Improvement in the Moder Business Environment.

2. The DMAIC Process.

3. Modeling Process Quality.

4. Inferences About Process Quality.

5. Methods and Philosophy of Statistical Process Control.

6. Control Charts for Variables.

7. Control Charts for Attributes.

8. Process and Meausurement System Capability Analysis.

9. Cumulative Surm and Exponentially Weighted Moving Average.

10. Other Univariate Statistical Process-Monitoring and Control Techniques.

11. Multivariate Process Monitoring and Control.

12. Engineering Process Control and SPC.

13. Factorial and Farctional Factorial Experiments for Process Desing and Improvement.

14. Process Optimization with Designed Experiments.

15. Lot-by-Lot Acceptance Sampling for Attributes.

16. Other Acceptance-Sampling Techniques.