Identifying Data 2019/20
Subject (*) Simulation of Industrial Processes and Optimization Code 730G04074
Study programme
Grao en enxeñaría en Tecnoloxías Industriais
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Fourth Optional 6
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Empresa
Coordinador
Garcia del Valle, Alejandro
E-mail
alejandro.garcia.delvalle@udc.es
Lecturers
Crespo Pereira, Diego
Garcia del Valle, Alejandro
Lamas Rodriguez, Adolfo
E-mail
diego.crespo@udc.es
alejandro.garcia.delvalle@udc.es
adolfo.lamasr@udc.es
Web
General description

Study programme competencies
Code Study programme competences
B5 CB5 Que os estudantes desenvolvan aquelas habilidades de aprendizaxe necesarias para emprenderen estudos posteriores cun alto grao de autonomía
B7 B5 Ser capaz de realizar unha análise crítica, avaliación e síntese de ideas novas e complexas
B9 B8 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

Learning aims
Learning outcomes Study programme competences
Know how to formulate and solve situation problems where there is randomness. B5
B7
B9
Ability to abstract, understand and analyze processes. B5
B7
B9
Know how to use simulation software. Solve problems of complex industrial processes. B5
B7
B9

Contents
Topic Sub-topic
The following topics develop the contents established in the tab of the Verification Memory that are: Simulation. Modeling and simulation. Discrete Event Simulation. Concepts used in simulation of discrete events. Advanced simulation techniques.
Discrete Event Simulation: concepts. Introduction. Simulation applications. Systems, models and simulation. Types of simulation. The modeling process. Systems and processes of discrete events. Terminology and architecture of a discrete event model. Application areas.
2. Flexsim 3D: bases. Sources. Queues Processors Sinks. Practical case.
Tags, decisions, popups. Practical case
Libraries of standard objects I: Combiner. Separator. Multiprocessor. Rack. Conveyor. Practical case.
Libraries of standard objects II: Task Executer. Operator. Transporter. Elevetor. Robot. Crane. ASRSvehicle. Practical case.
3. Analysis of input data for simulation and time measurement. Practical case.
4. Simulation: experiments and analysis of results. Practical case.
5. FlexSim: Tables, variables, connection with Excel. Global tables. Labels Global variables. Monitoring variables. Connection with Excel. Modification of variables. Case study.
6. Advanced simulation techniques. Introduction to Process Flow.
7. Optimization. Linear programming. Non-Linear Programming Metaheuristics.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech B5 B7 B9 30 30 60
Problem solving B5 B7 B9 10 20 30
ICT practicals B5 B7 B9 20 38 58
 
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 about the course topics.
Problem solving Solving simulation and optimization problems encountered in engineering.
ICT practicals Resolution of practical cases of simulation and optimization problems.

Personalized attention
Methodologies
ICT practicals
Guest lecture / keynote speech
Problem solving
Description
The personalized attention will be made in the tutorials.

Assessment
Methodologies Competencies Description Qualification
ICT practicals B5 B7 B9 La evaluación se hará en base a los trabajos realizados en las clases prácticas en clase así como los trabajos individuales en casa. Todos ellos se subirán a la plataforma Moodle. 100
 
Assessment comments

First opportunity evaluation: 100% of the grade will be obtained through the weighted average grade obtained in the exercises carried out through ICT practices.

Second chance evaluation: the same criteria will be followed as for the first opportunity.

The "students with recognition of part-time dedication and academic exemption of attendance exemption" will communicate at the beginning of the course their situation to the teachers of the subject, as established by the "Standard that regulates the regime of dedication to the study of undergraduate students in the UDC "(Art.3.be 4.5) and the" Standards for evaluation, review and claim of the qualifications of the undergraduate and master's degree studies (Art. 3 e 8b). The students in this situation will be evaluated by solving the same practical cases proposed in exercises through ICT practices.


Sources of information
Basic Robinson, Stewart (2004). Simulation : The Practice of Model Development and Use. John Wiley & Sons
Flexsim (2019). Tutoriales 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.