|
Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Statistical Quality Control |
| Contents |
|
|
| Identifying Data | 2021/22 | |||||||||||||
| Subject | Statistical Quality Control | Code | 614493114 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 5 | ||||||||||
|
||||||||||||||
| Topic | Sub-topic |
| 1. Introduction to quality control. | a) Brief historical review of quality control. b) State of the art and new challenges. c) Quality control in the era of Big Data and Industry 4.0. d) Presentation and motivation of real problems of statistical process control. |
| 2. Basic concepts of statistical quality control. |
a) Assignable and non-assignable causes. b) The seven tools of Isikawa. c) Deming and Juran's philosophy of quality assurance. d) Metrology and statistical process control. e) Introduction to Six Sigma Methodology. |
| 3. Methods and philosophy of control charts. |
a) Control charts and hypothesis testing. b) Risks of the seller and buyer. c) Rational subgroups. d) Analysis of patterns in a control chart. |
| 4. Manufacturing control by variables. | a) Limits of tolerance and capacity of the process. b) Shewhart type graphs by variables. c) Operating characteristic curve (OC) and mean streak length (ARL) in the control by variables. d) Optimization of control charts. e) Exercises. |
| 5. Manufacturing control by attributes. |
a) Manufacturing control by the non-conforming fraction. b) Graphs np and p. Control charts c and u. c) Characteristic curves in the control by attributes. d) Selection between control by variables and attributes. e) Exercises. |
| 6. Capability analysis of a process. |
a) Study of capability using histograms and control charts. b) Determination of the natural limits of tolerance and its impact on capability. c) Basic capability indices and comparative study. d) Exercises. |
| 7. Other univariate control charts. |
a) CUSUM charts. b) Weighted Average Control Charts (EWMA). c) Statistical alternatives to control charts. Philosophy of Engineering Process Control and Precontrol. |
| 8. Multivariate Control Charts. |
a) Description of a multivariate process control problem. b) Hotelling T2 charts. c) Multivariate MEWMA chart. d) Use of alternative multivariate techniques: PCA and non-parametric charts based on "data depth". e) Exercises. |
| 9. Reception control |
a) Statistical foundations of sampling plans. b) Attribute sampling plan. c) Variable sampling plan. d) Sequential controls. e) Characteristic curve for a sampling plan. f) Acceptable quality level and average output quality. g) MIL-STD-105 and MIL-STD-414 standards and their corresponding extensions (ANSI / ASQC / ISO). h) Exercises. |
| 10. Introduction to industrial reliability. |
a) Relationship between reliability and quality. b) Type of data and models for industrial reliability. c) Accelerated life tests (AFT) and models for degradation. |
| 11. Design of experiments to improve quality and reliability. |
a) Factorial designs and response surfaces. b) Examples of application of designs used in process control. c) Exercises and practical cases. |
| 12. Software for quality control and reliability |
a) qcr R library for quality control. b) Other R libraries for quality and reliability control. c) ILS library and interlaboratory designs for Quality Control. c) Practical and practical examples with the ILS package. |
|
