Study programme competencies |
Code
|
Study programme competences / results
|
A26 |
Coñecemento aplicado de sistemas e procesos de fabricación, metroloxía e control de calidade. |
B1 |
Que os estudantes demostren posuír e comprender coñecementos nunha área de estudo que parte da base da educación secundaria xeral e adoita encontrarse a un nivel que, aínda que se apoia en libros de texto avanzados, inclúe tamén algúns aspectos que implican coñecementos procedentes da vangarda do seu campo de estudo |
B2 |
Que os estudantes saiban aplicar os seus coñecementos ao seu traballo ou vocación dunha forma profesional e posúan as competencias que adoitan demostrarse por medio da elaboración e defensa de argumentos e a resolución de problemas dentro da súa área de estudo |
B4 |
Que os estudantes poidan transmitir información, ideas, problemas e solucións a un público tanto especializado como leigo |
B5 |
Que os estudantes desenvolvan aquelas habilidades de aprendizaxe necesarias para emprenderen estudos posteriores cun alto grao de autonomía |
B7 |
Ser capaz de realizar unha análise crítica, avaliación e síntese de ideas novas e complexas |
B9 |
Adquirir unha formación metodolóxica que garanta o desenvolvemento de proxectos de investigación (de carácter cuantitativo e/ou cualitativo) cunha finalidade estratéxica e que contribúan a situarnos na vangarda do coñecemento |
C1 |
Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida. |
C2 |
Desenvolverse para o exercicio dunha cidadanía aberta, culta, crítica, comprometida, democrática e solidaria, capaz de analizar a realidade, diagnosticar problemas, formular e implantar solucións baseadas no coñecemento e orientadas ao ben común. |
C4 |
Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse. |
C5 |
Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida. |
Learning aims |
Learning outcomes |
Study programme competences / results |
Knowing the measurement principles that should be taken into account to make a measurement |
A26
|
B1 B2 B4 B5 B7 B9
|
C1 C4 C5
|
Knowing the tools currently available to characterize dimensionally industrial product. Select the most appropriate to take a measurement. |
A26
|
B1 B2 B4 B5 B7 B9
|
C1 C4 C5
|
Understanding the importance of quality control in modern manufacturing processes. Studying different types of variability, its causes and effects. Understanding variability as a measure of the quality of a manufacturing process. |
A26
|
B1 B2 B4 B5 B7 B9
|
C1 C4 C5
|
Knowing the basic statistical tools to analyze properly the behavior of the variables that define the quality of a product. Studying the methods commonly used to verify the existence of cause-effect relationships between process variables. |
A26
|
B1 B2 B4 B5 B7 B9
|
C1 C4 C5
|
Knowing the most common methods for statistical process control, especially control charts. Learning how to perform and interpret these graphs by using statistical software. |
A26
|
B1 B2 B4 B5 B7 B9
|
C1 C4 C5
|
A complementary fashion, in addition to the above knowledge, characteristic of the course, students will develop their skills in teamwork, information search and management literature, writing papers, exhibition and public defense and critical analysis, among others. |
|
B1 B2 B4 B5 B7 B9
|
C1 C2 C4 C5
|
Contents |
Topic |
Sub-topic |
Os bloques ou temas seguintes desenvolven os contidos establecidos na ficha da Memoria de Verificación |
Medición e verificación. Unidades e patróns de medida. Metrotecnia. Principios de medición. Sistematización das causas de erros. Criterios de rechazo dunha medida. Instrumentos de medida de lonxitudes, ángulos e formas. Aa calidade na fabricación: planificación e métodos de inspecióne verificación. Avaliación da calidade nas medidas, ferramentas e técnicas para avaliar a calidade e os costes. Control estatístico do proceso. Control de calidade total |
1. Introduction to metrology. |
1.1. Introduction and history of metrology.
1.2. Systems units. The International System.
1.3. The measurement procedure.
1.4. Uncertainty quantification
1.5. Traceability and calibration |
2. Applications of metrology industry |
2.1. Dimensional metrology.
2.2. Length measurement. Instrumentation.
2.3. Surface quality: Roughness
2.4. Other measures: mass, time, temperature, light intensity and electrical quantities. |
3. Quality Control |
3.1. Introduction to quality control
3.1.1. Historical development of quality control
3.1.2. Maintaining and improving quality
3.2. Basic tools for quality improvement
3.2.1. Data collection.
3.2.2. Diagrams and their types: Pareto, cause and effect, bivariate. |
4. Variability in quality control
|
4.1. Causes of variability
4.2. Probabilistic models.
4.3. Comparison of two treatments.
4.4. Comparison of more than two treatments: Analysis of variance |
5. Statistical Process Control
|
5.1. introduction
5.2. Control charts.
5.3. for variables
5.4. For attributes.
5.5. Other control charts.
|
Planning |
Methodologies / tests |
Competencies / Results |
Teaching hours (in-person & virtual) |
Student’s personal work hours |
Total hours |
Guest lecture / keynote speech |
A26 B1 B5 B7 B9 C1 C2 C4 C5 |
21 |
15 |
36 |
Problem solving |
A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5 |
16 |
35 |
51 |
Seminar |
A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5 |
8 |
10 |
18 |
Mixed objective/subjective test |
A26 B1 B2 B4 B5 B7 B9 C1 C4 |
2.5 |
20 |
22.5 |
Supervised projects |
A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5 |
0 |
20.5 |
20.5 |
|
Personalized attention |
|
2 |
0 |
2 |
|
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Methodologies |
Description |
Guest lecture / keynote speech |
Lectures which will develop the course content |
Problem solving |
Interactive classes in which they solve exercises representative of content covered in lectures. |
Seminar |
Tutoring lessons in small groups where they will analyze and discuss the issues that have a major difficulty for students and the supervised work |
Mixed objective/subjective test |
In addition to the various activities planned, students must take a final exam on the content of the material, which consist of a series of short questions of theory and practice, as well as two or three issues of implementation, with a total duration of approximately two hours. |
Supervised projects |
El alumnado deberá desarrollar y entregar una serie de ejercicios y actividades propuestas durante el curso, sobre aplicaciones concretas de algunos aspectos de la materia. |
Personalized attention |
Methodologies
|
Problem solving |
Supervised projects |
Seminar |
|
Description |
For questions about any aspect that students deems appropriate, besides tutorials in small groups, there are six hours a week of tutoring in the schedule published by the website of the UDC. |
|
Assessment |
Methodologies
|
Competencies / Results |
Description
|
Qualification
|
Mixed objective/subjective test |
A26 B1 B2 B4 B5 B7 B9 C1 C4 |
In addition to the various activities planned, students must take a final exam on the contents of the subject, which consist of a series of short questions of theory and practice, as well as two or three issues of implementation, with a total duration of approximately two hours. |
80 |
Supervised projects |
A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5 |
Students must develop and deliver a series of exercises and activities proposed during the course, on the specific application of some aspects of the subject. |
20 |
|
Assessment comments |
O alumnado matriculado a tempo parcial deberá poñerse en contacto, a principio de curso, co profesorado para programar a realización das actividades previstas para superar a materia.
|
Sources of information |
Basic
|
A. M. Sánchez Pérez (1999). Fundamentos de Metrología. Universidad Politécnica de Madrid
Douglas C. Montgomery (2009). Introduction to Statistical Quality Control. John Wiley and Sons, Inc.
A. Prat, X. Tort-Martorell, P. Grima y L. Pozueta (1997). Métodos estadísticos: control y mejora de la calidad. Edicions UPC
L. Sevilla y M.J. Martín (2008). Metrología dimensional. Universidad de Málaga
James R. Thomson, Jacec Joronacki (2002). Statistical Process Control. Chapman & Hall / CRC
William A. Levinson (2011). Statistical Process Control for Real World Aplications. CRC Press |
|
Complementary
|
E. G. Schilling, D. V. Neubauer (2009). Acceptance Sampling in Quality Control. CRC Press
AENOR (2001). Metrología Dimensional. AENOR
Centro Español de Metrología (1998). Metrología disposiciones legales. Madrid : Ministerio de Fomento, Centro Español de Metrología |
|
Recommendations |
Subjects that it is recommended to have taken before |
Engineering Drawing/730G03002 | Physics I /730G03003 | Statistics/730G03008 |
|
Subjects that are recommended to be taken simultaneously |
Manufacturing Processes/730G03022 |
|
Subjects that continue the syllabus |
|
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