1. General information
Course:
RELIABILITY AND TOTAL QUALITY TECHNIQUES
Code:
56447
Type:
ELECTIVE
ECTS credits:
6
Degree:
356 - UNDERGRADUATE DEGREE PROGRAMME IN ELECTRICAL ENGINEERING (CR)
Academic year:
2021-22
Center:
602 - E.T.S. INDUSTRIAL ENGINEERING OF C. REAL
Group(s):
20
Year:
4
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
VICTOR MANUEL CASERO ALONSO
- Group(s):
20
Building/Office
Department
Phone number
Email
Office hours
Politécnico/2-A15
MATEMÁTICAS
926052867
victormanuel.casero@uclm.es
2. Pre-Requisites
To achieve the learning objectives described, the students must possess knowledge and skills that are supposed to be guaranteed in their training from previous courses:
- Knowledge of descriptive statistics, probability and parametric and non-parametric inference.
- Basic skills in managing computers.
3. Justification in the curriculum, relation to other subjects and to the profession
This course provides students with the necessary skills to face and solve the problems that a graduate can find in their work, mainly related to the analysis and treatment of data obtained empirically (Statistics).
For the Engineer, Statistics will be an essential work tool in his/her daily work. The basic responsibility of an Engineer is to lead the continuous improvement of quality and productivity in all processes that depend on him/her. But to improve processes it is necessary to change them, and these changes, if they are to be rational, can only be the result of data analysis. How to generate data that has relevant information? How to extract, by means of the adequate analysis, information of the data? The answer to both questions is the object of Statistical Science and as a consequence every Engineer must know it and apply it in his daily work.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| A02 | To know how to apply knowledge to work or vocation in a professional manner and possess the competences that are usually demonstrated by the formulation and defence of arguments and the resolution of problems in the field of study. |
| A03 | To have the capability to gather and interpret relevant data (normally within the area of study) to make judgements that include a reflection on themes of a social, scientific or ethical nature. |
| A04 | To be able to transmit information, ideas, problems and solutions to both a specialist and non-specialist audience. |
| A05 | To have developed the learning skills necessary to undertake subsequent studies with a greater degree of autonomy. |
| A07 | Knowledge of Information Technology and Communication (ITC). |
| A08 | Appropriate level of oral and written communication. |
| A12 | Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations. |
| A13 | Ability to take the initiative to solve problems, take decisions, creativity, critical reasoning and ability to communicate and transmit knowledge, skills and abilities in Electrical Engineering. |
| A14 | Knowledge to undertake measurements, calculations, evaluations, appraisals, studies, give expert opinions, reports, work plans and similar tasks. |
| A15 | Ability to work to specifications and comply with obligatory rules and regulations. |
| A16 | Ability to analyse and evaluate the social and environmental impact of technical solutions. |
| A17 | Ability to apply principles and methods of quality control. |
| A18 | To have organization and planning skills used in businesses and other institutions and organizations. |
| A19 | Ability to work in a multilingual and multidisciplinary environment. |
| G07 | Ability to read, understand and produce texts of a technical nature in English that are related to Electrical Engineering. Ability to express oneself orally in English. Ability to work in a multilingual environment |
| G08 | Ability to correctly use operating systems, databases and information programs with an application in engineering |
| G09 | Ability to apply quality approach in production processes and use the appropriate analytical techniques |
| G10 | Ability to design, write, handle, direct and control integrated management systems (deadlines, quality, environmental, prevention, security¿) Ability to analyze and compare suggested alternatives in the allocation and uptake of projects. Ability to synthesise all the information in a project management system, present it and defend it to a third party. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Ability to predict, analyze, evaluate and demonstrate the reliability of electrical energy systems | |
| Use of software to resolve mathematical problems that occur in electrical engineering | |
| Additional outcomes | |
| Not established. |
6. Units / Contents
-
Unit 1: Reliability
-
Unit 1.1: Reliability basic concepts
-
Unit 1.2: Statistal models used in Reliability
-
Unit 1.3: System reliability
-
-
Unit 2: Total Quality
-
Unit 2.1: Quality and Total Quality
-
Unit 2.2: Tools for improving Quality
-
Unit 2.3: Causes and measures of variability
-
-
Unit 3: Design of experiments
-
Unit 3.1: ANOVA and design of experiments
-
Unit 3.2: Factorial designs 2^k and 2^(k-p)
-
Unit 3.3: Respose surface methodology
-
Unit 3.4: Design of robust products
-
-
Unit 4: Statistical process control
-
Unit 4.1: Control charts. Foundations.
-
Unit 4.2: Control charts by variables and by attributes.
-
Unit 4.3: Sampling plans.
-
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | 0.8 | 20 | Y | N | |||
| Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | 0.48 | 12 | Y | N | |||
| Computer room practice [ON-SITE] | Practical or hands-on activities | 0.8 | 20 | Y | N | |||
| Project or Topic Presentations [ON-SITE] | Self-study | 0.2 | 5 | Y | N | |||
| Individual tutoring sessions [ON-SITE] | 0 | 0 | N | N | ||||
| Final test [ON-SITE] | Assessment tests | 0.12 | 3 | Y | Y | |||
| Study and Exam Preparation [OFF-SITE] | Self-study | 3.6 | 90 | N | N | |||
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
| Total credits of out of class work: 3.6 | Total hours of out of class work: 90 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Assessment of activities done in the computer labs | 20.00% | 20.00% | Average of the computer labs. |
| Theoretical papers assessment | 20.00% | 20.00% | Average of the team works. |
| Final test | 60.00% | 60.00% | . |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:Correction in the approach of the problems.
Correction of results.
Correct written expression.
Minimum grade to pass the subject: 5 points out of 10. -
Non-continuous evaluation:Evaluation criteria not defined
Specifications for the resit/retake exam:
Same as final exam.
Specifications for the second resit / retake exam:
Same as final exam.
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Final test [PRESENCIAL][Assessment tests] | 3 |
| Unit 1 (de 4): Reliability | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 2 |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 4 |
| Project or Topic Presentations [PRESENCIAL][Self-study] | 1 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 30 |
| Unit 2 (de 4): Total Quality | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 1 |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 2 |
| Project or Topic Presentations [PRESENCIAL][Self-study] | 1 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 10 |
| Unit 3 (de 4): Design of experiments | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 8 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 6 |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 10 |
| Project or Topic Presentations [PRESENCIAL][Self-study] | 2 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 30 |
| Unit 4 (de 4): Statistical process control | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 3 |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 4 |
| Project or Topic Presentations [PRESENCIAL][Self-study] | 1 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 20 |
| Global activity | |
|---|---|
| Activities | hours |
10. Bibliography and Sources
