Identifying Data 2020/21
Subject (*) Advanced Production Systems Code 730497235
Study programme
Mestrado Universitario en Enxeñaría Industrial (plan 2018)
Descriptors Cycle Period Year Type Credits
Official Master's Degree 1st four-month period
Second Optional 3
Language
Spanish
Teaching method Hybrid
Prerequisites
Department Empresa
Coordinador
Lamas Rodriguez, Adolfo
E-mail
adolfo.lamasr@udc.es
Lecturers
Lamas Rodriguez, Adolfo
E-mail
adolfo.lamasr@udc.es
Web http://http://www.gii.udc.es/
General description A simulación é unha técnica Lean para deseñar e mellorar procesos que desempeña un papel fundamental en Industria 4.0. O propósito desta materia é formar en técnicas de simulación de eventos discretos aplicadas ó deseño de sistemas avanzados de producción. En concreto, veránse problemas de deseño e optimización de plantas de fabricación pertencentes a proxectos de I+D+i reais en donde se aplican modelos de eventos discretos. A materia polo tanto axudará a aprender tanto técnicas de simulación como de mellora e optimización de sistemas de fabricación automatizados e robotizados.
Contingency plan 1. Modificacións nos contidos
Non existen.
2. Metodoloxías
*Metodoloxías docentes que se manteñen:
Todas.
*Metodoloxías docentes que se modifican:
Ningunha.
3. Mecanismos de atención personalizada ao alumnado
Titorías online con TEAMS e correo electrónico.
4. Modificacións na avaliación
Ningunha.
5. Modificacións da bibliografía ou webgrafía
Ningunha

Study programme competencies
Code Study programme competences
A2 ETI2 - Knowledge and ability to project, calculate and design integrated manufacturing systems.
A8 ETI8 - Ability to design and project automated production systems and advanced process control.
A9 EG1 - Knowledge and skills to organize and manage companies.
A13 EG5 - Knowledge of management information systems, industrial organization, production systems and logistics and quality management systems.
A14 EG6 - Capacities for work organization and human resources management. Knowledge on prevention of occupational risks.
B2 CB7 - That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of ??study.
B3 CB8 - That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
B5 CB10 - That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
B6 G1 - Have adequate knowledge of the scientific and technological aspects in Industrial Engineering.
B13 G8 - Apply the knowledge acquired and solve problems in new or unfamiliar environments within broader and multidisciplinary contexts.
B14 G9 - Be able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments.
B16 G11 - Possess the learning skills that allow to continue studying in a self-directed or autonomous way.
C1 ABET (a) - An ability to apply knowledge of mathematics, science, and engineering.
C3 ABET (c) - An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
C6 ABET (f) - An understanding of professional and ethical responsibility.
C8 ABET (h) - The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
C11 ABET (k) - An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Learning aims
Learning outcomes Study programme competences
Coñecementos para o deseño e optimización de sistemas integrados e automatizados de fabricación, organización industrial, sistemas produtivos, control económico e xestión de proxectos. AJ2
AJ8
AJ9
AJ13
AJ14
BJ2
BJ3
BJ5
BJ6
BJ13
BJ14
BJ16
CJ1
CJ3
CJ6
CJ8
CJ11
Capacidades para a organización do traballo e a xestión de recursos. Coñecementos sobre a xestión de riscos. AJ2
AJ8
AJ9
AJ13
AJ14
BJ2
BJ3
BJ5
BJ6
BJ13
BJ14
BJ16
CJ1
CJ3
CJ6
CJ8
CJ11

Contents
Topic Sub-topic
Fabricación Lean Flujo pieza a pieza
Calidad integrada en el modelo
Sistema de producción Pull
Producción Nivelada
Fabricación digital Gemelo Digital de procesos
Industria 4.0 Robotización
RV
AGVs
Gemelo digital
Robotización Soldadura robotizada
Control Dimensional
Ensayos no Destructivos

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Supervised projects A2 A8 A9 A13 A14 B2 B3 B5 B13 B14 B16 B6 C1 C3 C6 C8 C11 5 6 11
Guest lecture / keynote speech A2 A8 A9 A13 A14 B2 B3 B5 B13 B14 B16 B6 C1 C3 C6 C8 C11 10 34 44
ICT practicals A2 A8 A9 A13 A14 B2 B3 B5 B13 B14 B16 B6 C1 C3 C6 C8 C11 5 15 20
 
Personalized attention 0 0
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Supervised projects Resolución de casos prácticos propostos en clase e completados na casa.
Guest lecture / keynote speech Clases maxistrais sobre simulación de sistemas avanzados de producción
ICT practicals Resolución de casos de simulación guiados polo profesor.

Personalized attention
Methodologies
Supervised projects
Guest lecture / keynote speech
ICT practicals
Description
Tutorials for solving doubts and problems found during the course.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A2 A8 A9 A13 A14 B2 B3 B5 B13 B14 B16 B6 C1 C3 C6 C8 C11 Assessment of the cases solved by the students. 90
ICT practicals A2 A8 A9 A13 A14 B2 B3 B5 B13 B14 B16 B6 C1 C3 C6 C8 C11 Attendance to the ICT practicals and submission of the solved cases. 10
 
Assessment comments

O "Alumnado con recoñecemento de dedicación a tempo parcial edispensa académica de exención de asistencia" comunicarán ó inicio docurso a súa situación os profesores da materia, segundo establece a "Normaque regula o réxime de dedicación ao estudo dos estudantes de grao na UDC"(Art.3.b e 4.5) e as “Normas de avaliación, revisión e reclamación dascualificacións dos estudos de grao e mestrado universitario (Art. 3 e 8b).

Para os alumnos que soliciten a dispensa académica a avaliación será igual ao resto xa que os traballos serán completados fóra do horario de clases.


Sources of information
Basic Robinson, Stewart (2004). Simulation : The Practice of Model Development and Use. John Wiley & Sons
Yuri Merkuryev & otros (2009). Simulation-Based Case Studies. Springer
Flexsim (2019). Tutoriales de Flexsim.

Complementary


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

A sustainable use of resources must be made to prevent the negative impact on the natural environment. For this reason, the delivery of the documentary works carried out in this subject:

 

• They will be requested in virtual format and / or computer support

 

• It will be done through Moodle, in digital format without needing to print them

 

• If it is necessary to make them on paper: a) plastics will not be used, b) double-sided impressions will be made, c) recycled paper will be used, d) the printing of drafts will be avoided.



(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.