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1. General information
Course:
PROCESS CONTROL AND FACTORY AUTOMATION
Code:
310628
Type:
CORE COURSE
ECTS credits:
6
Degree:
2328 - MASTERS DEGREE PROGRAMME IN INDUSTRIAL ENGINEERING
Academic year:
2020-21
Center:
602 - E.T.S. INDUSTRIAL ENGINEERING OF C. REAL
Group(s):
10  20  11  21 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
Y
Lecturer: VICENTE FELIU BATLLE - Group(s): 20  21 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico, 2-A02
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
vicente.feliu@uclm.es

Lecturer: PABLO PEDREGAL TERCERO - Group(s): 20  21 
Building/Office
Department
Phone number
Email
Office hours
2-A21
MATEMÁTICAS
926295436
pablo.pedregal@uclm.es

Lecturer: PEDRO LUIS RONCERO SANCHEZ-ELIPE - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico, 2-D03
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
pedro.roncero@uclm.es

Lecturer: ANDRES SAN MILLAN RODRIGUEZ - Group(s): 21 
Building/Office
Department
Phone number
Email
Office hours
Politécnico/2C-01
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
Andres.SanMillan@uclm.es

Lecturer: ANDRES SALOMON VAZQUEZ FERNANDEZ PACHECO - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico 2-B02
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
andress.vazquez@uclm.es

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
A01 To have appropriate knowledge of the scientific and technological aspects of mathematical, analytical and numerical methods in engineering, electrical engineering, energy engineering, chemical engineering, mechanical engineering, continuous medium mechanics industrial electronics, automation, manufacturing, materials, quantitative management methods, industrial computing, town planning, infrastructures, etc.
A02 To plan, calculate and design products, processes, facilities and plants.
A04 To conduct research, development and innovation in products, processes and methods.
B08 Ability to design and plan automated production and advanced process control systems.
CB06 Knowledge and skills to organise and manage enterprises.
CB07 Strategy and planning knowledge and skills applied to different organisational structures.
CB09 Knowledge of financial and costs accounting.
CB10 Knowledge of information systems for management, industrial organisation, production, logistics and quality management systems.
D04 Knowledge and abilities to plan and design electrical and fluid installations, lighting, heating and ventilation, energy saving and efficiency, acoustics, communications, domotics, Smart buildings and security installations.
D06 Knowledge and ability to perform verification and supervision of installations, processes and products.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Develop criteria to select the best solution for a specific problem.
Gain knowledge of the systems used in process control and production automation.
Acquire the knowledge required to understand process control design.
Acquire basic knowledge required for tasks in production automation projects.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Introduction to Automation
    • Unit 1.1: Industrial Automation
    • Unit 1.2: Robotics
    • Unit 1.3: Computer Vision
    • Unit 1.4: Automation of the Production
  • Unit 2: Process and Production Optimization
    • Unit 2.1: Linear Programming
    • Unit 2.2: Non Linear Programming
    • Unit 2.3: Dynamic Programming
  • Unit 3: Process Identification Techniques
    • Unit 3.1: Introduction
    • Unit 3.2: Identification in the Frequency Domain
    • Unit 3.3: Identification using Correlation Techniques
    • Unit 3.4: Identification in the Discrete Time Domain
  • Unit 4: Process Control
    • Unit 4.1: Control Based on Heuristic Methodologies
    • Unit 4.2: Control Based on Scientific Methodologies
    • Unit 4.3: Advanced Process Control
    • Unit 4.4: Disturbances Rejection
  • Unit 5: Automated Systems
    • Unit 5.1: Industrial Programmable Logic Controllers
    • Unit 5.2: Industrial Communication Networks
    • Unit 5.3: Modelling of Sequential Systems
    • Unit 5.4: Automated Storage and Transportation Systems
    • Unit 5.5: Flexible Manufacturing Systems
  • Unit 6: Production Control
    • Unit 6.1: The Supply Chain
    • Unit 6.2: Manufacturing Efficiency
    • Unit 6.3: 4.0 Industry
    • Unit 6.4: Simulation of Discrete Events Systems
    • Unit 6.5: Offline Design and Programming
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 A01 A02 A04 B08 D04 D06 1.6 40 N N
Problem solving and/or case studies [ON-SITE] Problem solving and exercises A01 A02 A04 B08 D04 D06 0.4 10 N N
Laboratory practice or sessions [ON-SITE] Practical or hands-on activities A01 A02 A04 B08 D04 D06 0.16 4 Y Y
Workshops or seminars [ON-SITE] Workshops and Seminars A01 A02 A04 B08 D04 D06 0 0 N N
Study and Exam Preparation [OFF-SITE] Self-study A01 A02 A04 B08 D04 D06 2.6 65 N N
Writing of reports or projects [OFF-SITE] Guided or supervised work A01 A02 A04 B08 D04 D06 0.6 15 Y N
Practicum and practical activities report writing or preparation [OFF-SITE] Practical or hands-on activities A01 A02 A04 B08 D04 D06 0.4 10 Y Y
Individual tutoring sessions [ON-SITE] Problem solving and exercises A01 A02 A04 B08 0.08 2 Y N
Progress test [ON-SITE] Assessment tests A01 A02 A04 B08 0.08 2 Y N
Final test [ON-SITE] Assessment tests A01 A02 A04 B08 D04 D06 0.08 2 Y 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
Progress Tests 50.00% 0.00%
Practicum and practical activities reports assessment 35.00% 35.00%
Laboratory sessions 15.00% 15.00%
Final test 0.00% 50.00%
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:
    In order to pass, the student must reach a weighted mean of 5 or more among the evaluations of all the tests. The student could use the final test to pass the parts of the course that can be recovered.
    In the case that the student did not present the report of the practical activities or did not attend all these activities, the student will have to carry out the final test of this part.
  • Non-continuous evaluation:
    - The student will have to carry out three final tests of theoretical/practical nature: optimization, process control and production automation.
    - Moreover, he must carry out the laboratory activities and practical works (of the blocks of process control and production automation) and deliver the reports of these activities in the 4 days following to the exam date.
    - In order to pass, the student must reach a weighted mean of 5 or more among the evaluations of all the tests and activities.
    - The above applies to the first and second resits as well to the special finalization exam.

Specifications for the resit/retake exam:
The student will have the opportunity to repeat all the tests that he did not pass through the course at the final exams. In the resit, the student will be waived of taking exams of the parts that he had previously passed.
Specifications for the second resit / retake exam:
It is a test of all the subject. However, this examen will be organized in blocks that could be adapted to the circumstances of each student. This exam allows the student to recover the previously failed blocks without having to repeat the tests of blocks that had been previously passed.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Individual tutoring sessions [PRESENCIAL][Problem solving and exercises] 2
Progress test [PRESENCIAL][Assessment tests] 2
Final test [PRESENCIAL][Assessment tests] 2

Unit 1 (de 6): Introduction to Automation
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 8

Unit 2 (de 6): Process and Production Optimization
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 6
Study and Exam Preparation [AUTÓNOMA][Self-study] 17

Unit 3 (de 6): Process Identification Techniques
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Writing of reports or projects [AUTÓNOMA][Guided or supervised work] 7

Unit 4 (de 6): Process Control
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 9
Study and Exam Preparation [AUTÓNOMA][Self-study] 11
Writing of reports or projects [AUTÓNOMA][Guided or supervised work] 8

Unit 5 (de 6): Automated Systems
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 1
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] 5

Unit 6 (de 6): Production Control
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 6
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 1
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 9
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] 5

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Andrés García Higuera El Control Automático en la Industria Cuenca UCLM 84-8427-405-5 2005 Ficha de la biblioteca
C. A. Smith y A. Corripio Principles and Practice of Automatic Process Control John Wiley & Sons 2005 3rd edition  
J.A. Somolinos, R. Morales, E. Tremps Fundamentos de la ingeniería de control Editorial Universitaria Ramón Areces 978-84-9961-142-6 2013 Ficha de la biblioteca
K. J. Aström y R. M. Murray Feedback Systems: An Introduction for Scientists and Engineers Princeton University Press 2011 Electronic edition Version 2.10e http://www.cds.caltech.edu/~murray/amwiki  



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